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xtbook. i really need in in half an hour

here is a difference in incomes between these two education levels. You may chose your level of significance and you levels of education you want to test. Please provide an explanation for why you chose these two levels, and the alpha level.

bar graph. Do not do any calculations with your data before making your claim. Record your claim. b. Then test your claim using hypothesis testing. Show all steps by recording any calculator/Excel commands used. Discuss your conclusion. 9. ____/ 10 points: Look at Quantitative 2, from the measures of central tendencies. i. Make a claim about the true population mean. Do not do any calculations with your data before making your claim. Record your claim. ii. Then test your claim using hypothesis testing. Show all steps by recording any calculator/Excel commands used. Discuss your conclusion.

ories in the bar graph. Do not do any calculations with your data before making your claim. Record your claim. b. Then test your claim using hypothesis testing. Show all steps by recording any calculator/Excel commands used. Discuss your conclusion. 9. ____/ 10 points: Look at Quantitative 2, from the measures of central tendencies. i. Make a claim about the true population mean. Do not do any calculations with your data before making your claim. Record your claim. ii. Then test your claim using hypothesis testing. Show all steps by recording any calculator/Excel commands used. Discuss your conclusion.

ion. These are the result of a monohybrid cross (two heterozygous parents) and we expect a ratio of 3 dominant phenotypes to 1 recessive phenotype. II. Test Cross: Count the yellow and purple kernels for 3 ears of corn from the “1:1” collection. These are the result of a test cross (two heterozygous parents) and we expect a ratio of 1 dominant phenotype to 1 recessive phenotype. III. Dihybrid Cross: Count the kernels for 3 ears of corn from the “9:3:3:1” collection. These are the result of a dihybrid cross (two heterozygous parents for two traits) and we expect a ratio of 9 dominant/dominant: 3 dominant/recessive: 3 recessive/dominant: 1 recessive/recessive.

rfaces have to be derived from it. And it also involves creating methods in those derived classes. And then running the J-Unit test to see if it will pass all the cases giving you green bar. We are also required create some J-Unit cases of our own. More Info attached in the PDF document only 5 pages worth of info. And the source file with the J-Unit class and Model package where all the classes should be added are attached.

st ends I attach the DEMO variant to understand types of tasks

to a sample of the solution taken from a saturated solution of calcium sulfate. b. Explain, with calculations optional, why this will be effective as a qualitative rather than a quantitative test in the Science classroom, for a 20 mL sample. How do you do the calculations for part b?

run and how to interpert it properly.

e idea of “least squares” in regression (you need to fully read pp. 200-208 to understand). 3) What does it mean if b = 0? 4) What does it mean when r-squared is 0? What does it mean when r-squared is 1? 5) What is the difference in an unstandardized regression coefficient and the standardized regression coefficient? 6) If a report says test performance was predicted by number of cups of coffee (b = .94), what does the .94 mean? Interpret this. (For every one unit increase in ___,There is an increase in ___ ) 7) If F (2,344) = 340.2, p < .001, then what is this saying in general about the regression model? (see p. 217) 8) Why should you be cautious in using unstandardized beta? (p. 218) 9) (Ch. 8) Explain partial correlation in your own words. In your explanation, explain how it is different from zero-order correlation (aka Pearson r). 10) (Ch. 9) What is the F statistic used to determine in multiple regression? 11) What is F when the null hypothesis is true? 12) In Table 9.4, which variable(s) are statistically significant predictors? 13) In Table 9.4, explain what it means if health motivation has b = .36 in terms of predicting number of exercise sessions per week. 14) What is the benefit of interpreting standardized beta weights? (see p. 264). 15) What happens if your predictor variables are too closely correlated? 16) Reflect on your learning. What has been the most difficult? How did you get through it? What concepts are still fuzzy to you? Is there anything you could share with me that would help me address how you learn best?

logarithmic functions, and related rates.

aw scores have a mean of 40 and a standard deviation of 5. Assuming these raw scores form a normal distribution: a) What number represents the 55th percentile (what number separates the lower 55% of the distribution)?

b. Is the correlation statistically significant? Use a two-tailed test with α = .01. c. What percentage of variance for the cognitive scores is predicted from the 7-Minute Screen scores? (Compute the value of r2 .)

63 and a standard deviation of 2. Estimate the percentage of scores that were  (a) between 59 and 67.  %  (b) above 69.  %  (c) below 59.  %  (d) between 57 and 67.  %

e arabinose, ampicillin, LB, DH10B E. coli, pGLO, and your new plasmid. What would you have to do to test whether GFP caused E. coli to grow slower? What transformations would you have to do? What plates would you have to use? What plasmids would you use?

contact more than 12 oz. of cereal. You sampled 100 boxes found that the sample mean (x bar) = 12.15 and s = .5. Calculate the Observed Significance Level or P-Value

to know a systematic solution to solving these types of problems that could appear on the test. I’ve never been subjected to this type of math or algebra before and it appears as though most of these types of problems are going to be on the test. Do you have any solutions or step-by-step methods on how to interpret and solve these problems? Thank you.

e difference between reported height and actual height was calculated. You're testing the claim that the mean difference is greater than 0.6. From the sample, the mean difference was 0.7, with a standard deviation of 0.74. Calculate the test statistic, rounded to two decimal places Incorrect

interested in whether or not there is a benefit trying to locate their restaurants in shopping centre food courts. Food Court Not in Food Court Average Revenue 1609.69 1710.0 Standard deviation 190.85 150.83 Sample size 12 38 a. Conduct a test at the 5% level of significance to determine if there is a difference in average revenue between restaurants located in food courts to those that aren’t. Make whatever assumptions and carry out any checks that are necessary to conduct this test. (5)

we are just barely starting to understand.In the future, police and wrongdoing counteraction units may start to screen the degrees of contamination in their urban communities, and convey assets to the spaces where contamination is heaviest on guaranteed day.This may seem like the plot of a sci-fi film, however ongoing discoveries recommend that this likely could be a beneficial practice.Why? Arising contemplates show that air contamination is connected to disabled judgment, emotional well-being issues, more unfortunate execution in school and most worryingly maybe, more elevated levels of crime.These discoveries are largely the really disturbing, given that more than a big part of the total populace now live in metropolitan conditions – and a greater amount of us are going in blocked regions than any time in recent memory. However, perhaps, he thought, there could be other unfavorable impacts on our lives.To start with, he led an investigation seeing whether air contamination had an impact in psychological performance.Roth and his group saw understudies taking tests on various days – and furthermore estimated how much contamination was noticeable all around on those given days. Indeed, even a couple days prior and a couple of days after, they discovered no impact – it's truly upon the arrival of the test that the grade diminished altogether. To decide the drawn out impacts, Roth followed up to perceive what affect this had eight to 10 years after the fact. In this way, he daid that regardless of whether it's a present moment impact of air contamination, on the off chance that it happens in a basic period of life it truly can have a drawn out impact. In 2018 examination, his group broke down two years of wrongdoing information from more than 600 of London's discretionary wards, and tracked down that more insignificant violations happened on the most dirtied days, in both rich and poor areas.Although we ought to be careful about reaching determinations about connections, for example, these, the creators have seen some proof that there is a causal link.Wherever the haze of contamination ventures, wrongdoing increments. As a feature of a similar report, they thought about unmistakable regions over the long haul, just as following degrees of contamination over the long haul. This implies that an intercession at an early age ought to be a priority.Exposure to different poisons can cause aggravation in the cerebrum. There are numerous potential components that may clarify how air contamination influences our morality.Lu, for example, has shown that the simple considered contamination can impact our brain science through its negative associations.Naturally, the scientists couldn't truly uncover members with contamination, so they took the following best (morally supported) venture so they asked them to truly envision living around here, and how they would feel and how their life would be living in this climate, to make them mentally experience air contamination versus a perfect climate. He tracked down that the member's tension expanded, and they became more self-focussed – two reactions that could increment forceful and flippant practices. Along these lines, by raising people groups' tension, air contamination can detrimentally affect conduct. at the point when we are restless we are bound to punch somebody in the face, than when we are quiet. Lead analyst Joanne Newbury, from King's College London, says she can't however guarantee that her outcomes are causal, yet the discoveries are in accordance with different investigations proposing a interface between air contamination and psychological wellness. "It adds to confirm connecting air contamination to actual medical conditions and air contamination connect to dementia.

e the demographic status in detail. Q2. What is the expenditure pattern of respondents by sex, education and occupation? Use appropriate statistical methods to describe the answer. Q3. Does type of bank account affect income? Explain with the help of data and fig. Q 4. What is relationship between age and different kind of expenditure (food, education and health)? Explain with the help of appropriate statistical results. Q.5 Use the appropriate statistical methods to test the following null hypothesis: a. There is no association between gender and occupation. b. There is no significant relationship between income and expenditure. c. There is no significant relationship between age and health expenditure. d. There is no significant relationship between age and total expenditure. e. Health expenditure of male is not significantly different from female. Q 6. What is the impact of income and age on education expenditure, health expenditure and total expenditure? Explain with the help of regression analysis.

e test imply? (A) That the bacterium is anaerobic (B) That the bacterium is halophilic (C) That the bacterium is aerobic (D) That the bacterium is mesophilic

the right one. Healthcare professionals must deal with these challenges based on their training and knowledge of ethical principles and decision making. Choose an ethical dilemma from the list below and answer the questions that follow. Use your knowledge and understanding from what you have already learned from Unit 1 and 2 lessons and the textbook reading assignments. Genetic testing and home test kits Physician-assisted death Artificial intelligence and clinical decision making Organ transplantation and artificial organs Note: If you would like to choose a dilemma other than one on the list, please consult with your instructor and obtain permission. Describe the issue and why and how it poses an ethical dilemma for healthcare providers and healthcare organizations? What ethical principle(s) would be applicable to the dilemma? Describe the ethical decision-making steps used to come to an ethical decision? With whom would a healthcare professional consult in coming to a decision? How are your personal values challenged? What would be a personal bias or conflict of interest in resolving this dilemma

set of observations x1, x2,...,xn, with mean ¯x, then: Xn i=1 (xi x¯) > 0. ii. For two independent events A and B such that P(A) > 0 and P(B) > 0, then: P(A [ B) < P(A) + P(B). iii. For a random variable X, E(X2) can be less than (E(X))2. iv. Rejecting a true null hypothesis is known as the power of a test. v. A 4-by-2 contingency table which results in a 2 test statistic value of 6.724 is statistically significant at the 5% significance level.

es through the function phase 4, I have to input some value. Within that function func4 is called. The assembler dump is given I just don't know what input to give to pass the test

ss of the previous inputs. If the lock has buttons representing the digits 0-9 then there are 10000 possible combinations from 0000-9999. In class, we indicated that no less than 10003 digits must be pressed to test every possible four digit sequence. Is there a sequence of length 10003 that tests all possible combinations. If so, this sequence must be given to me in your write up as well as an explanation on how you came up with this sequence. If there is no sequence of length 10003 that tests all possible combinations, can you come up a sequence with less than the maximum number (40000) which tests all possibilities? How did you come up with this sequence?

using amos. Please contact me back asap. I am particularly wondering how to test for correlation of disturbance. thanks.

what statistical test to use to find correlation between income and family size.

age of the second score is 6.3. The standard error of the difference scores is 0.53 and N=15. What is the effect size?

- 1); I{x>1}, theta > 1. (a) Show that log Xi has an exponential distribution with a mean of 1/theta. (b) Find the form for a UMP test of H_0: theta <= theta_0 vs. H_a : theta > theta_0. (c) Give formula for nding the rejection region for a given value of alpha. Hint: use the result from (a) to find the distribution of the test statistic. (d) Conduct the test in (b) with alpha = 0.05 and theta_0 = 1:5 using the dataset: {1.2, 2.4, 1.3, 1.7, 1.9}. (e) Find the form of a UMPU test for testing H_0 : theta = theta_0 vs. H_a : theta_0 != theta_0. (f) Use the data in (d) to conduct the test in (e) with alpha = 0.05 and theta_0 = 1.5.

- 1); I{x>1}, theta > 1. (a) Show that log Xi has an exponential distribution with a mean of 1/theta. (b) Find the form for a UMP test of H_0: theta <= theta_0 vs. H_a : theta > theta_0. (c) Give formula for nding the rejection region for a given value of alpha. Hint: use the result from (a) to find the distribution of the test statistic. (d) Conduct the test in (b) with alpha = 0.05 and theta_0 = 1:5 using the dataset: {1.2, 2.4, 1.3, 1.7, 1.9}. (e) Find the form of a UMPU test for testing H_0 : theta = theta_0 vs. H_a : theta_0 != theta_0. (f) Use the data in (d) to conduct the test in (e) with alpha = 0.05 and theta_0 = 1.5.

- 1); I{x>1}, theta > 1. (a) Show that log Xi has an exponential distribution with a mean of 1/theta. (b) Find the form for a UMP test of H_0: theta <= theta_0 vs. H_a : theta > theta_0. (c) Give formula for nding the rejection region for a given value of alpha. Hint: use the result from (a) to find the distribution of the test statistic. (d) Conduct the test in (b) with alpha = 0.05 and theta_0 = 1:5 using the dataset: {1.2, 2.4, 1.3, 1.7, 1.9}. (e) Find the form of a UMPU test for testing H_0 : theta = theta_0 vs. H_a : theta_0 != theta_0. (f) Use the data in (d) to conduct the test in (e) with alpha = 0.05 and theta_0 = 1.5.

shots of the question.

anything related to Hess's Law. I have a test tomorrow, so I'm not exactly sitting pretty.

lives. Suppose you are in class of 52 students. A) what is the probability that over 13 students experience stress B) if 23 students in the class said they felt stress in their daily lives would you be surprised Suppose the average ACT score for students taking the test in Illinois is in 2003 was 21.8 with a standard deviation of 3.85. What is the probability that 32 randomly selected students from that state average under 23 on the ACT that year?

expected value, variance and standard deviation Discrete random variables Discrete probability distributions: binomial Continuous random variables: uniform distribution and normal distributions Sampling distributions on a sample mean

8th-grade middle school. Need help so please help me. oh and I have a big, big yearly test coming up in 3 weeks so I need to know this. so please help me. I failed my 4% grade on my test. they are letting me take nit agane so i need some help.

two objects and recorded whether or not the dog being tested correctly chose the object indicated. A four-year-old male beagle named Augie participated in this study. He chose the correct object 42 out of 70 times when the experimenter leaned towards the correct object. (a) (2 points) Let the parameter of interest, π, represent the probability that the long-run probability that Augie chooses correctly. Researches are interested to see if Augie understands human body cues (better than gussing). Fill in the blanks for the null and alternative hypotheses. H0 : Ha : (b) (6 points) Based on the above context, conduct a test of significance to determine the p-value to investigate if domestic dogs understand human body cues. What conclusion will you draw with significance level of 10%? (If you use an applet, please specify which applet you use, and the inputs.) (c) (5 points) Based on the above context, conduct a test of significance to determine the p-value to investigate if domestic dogs understand human body cues. What conclusion will you draw with significance level of 5%? (If you use an applet, please specify which applet you use, and the inputs.) (d) (2 points) Are your conclusions from part (b) and (c) the same? If they are different, please provide an explanation. (e) (5 points) Shown below is a dotplot from a simulation of 100 sample proportions under the assump- tion that the long-run probability that Augie chooses correct is 0.50. Based on this dotplot, would a 90% confidence interval for π contain the value 0.5? Explain your answer. (f) (4 points) Compute the standard error of the sample proportion of times that Augie chose the object correctly. 1 (g) (5 points) (h) (3 points) question? (i) (4 points) (j) (4 points) A. B. C. Construct an approximate 95% confidence interval for π using the 2SD method. What is the margin of error of the confidence interval that you found in the previous How would you interpret the confidence interval that you found in part (g)? Which of the following is a correct interpretation of the 95% confidence level? If Augie repeats this process many times, then about 95% of the intervals produced will capture the true proportion of times of choosing the correct objective. About 95% times Augie chooses the correct objective. If Augie repeats this process and constructs 20 intervals from separate independent sam- ples, we can expect about 19 of those intervals to contain the true proportion Augie chooses the correct objective. (k) (4 points) object 21 out of 35 times. Conjecture how, if at all, the center and the width of a 99% confidence interval would change with these data, compared to the original 2SD 95% confidence interval. The center of the confidence interval would . The width of the confidence interval would . (l) (4 points) Suppose that we repeated the same study with Augie, and this time he chose the correct object 17 out of 35 times, and we also change the confidence level from 95% to 99%. Conjecture how, if at all, the center and the width of a 99% confidence interval would change with these data, compared to the original 2SD 95% confidence interval. Suppose that we repeated the same study with Augie, and this time he chose the correct The center of the confidence interval would The width of the confidence interval would . .

ould like to know if someone could help explain some things to him tonight?

offspring be 60 percent? Why or why not? A. No, the predicted frequency of recombinant offspring ranges from 0 percent (for linked traits) to 50 percent (for unlinked traits) because of both parental and nonparental cases. B. Yes, the predicted frequency of recombinant offspring can be 60 percent if genes are located very far from each other. C. Yes, the predicted frequency can be 60 percent if crossing over occurs during every meiotic event. D. No, the predicted frequency can never be 60 percent due to the presence of mutations such as deletions.

tribution need help understanding and passing a test later today.

your research question. Final Mission: You will use the given dataset to develop a research question, create background on the topic related to the research question, and complete an analysis of the data to answer that research question. Guidelines ➢ Use no more than 12 slides with a voice-over description for each slide. You may be creative with background and animation for the slide show but remember that it is the content that is most important (and animation, etc. can greatly increase your file size). ➢ Include an introductory slide that states your name, credentials, and title of your presentation. ➢ Present your research question. ➢ Identify the appropriate statistical test to answer the research question. o Identify your variables of interest. o Identify how they are measured and match them to the appropriate statistical test. ➢ Identify and evaluate appropriate assumptions to meet the test. o Each statistical test comes with a set of assumptions that must be met in order to use the test; conditions that must be satisfied before using the test. o Explain the assumptions and show how they have been met as well as how you would “fix” them if they were “broken.” ➢ Provide a justification for all the choices you made in the decision of which statistic to use and explain the necessary tests associated with it in terms someone not familiar with it would understand. ➢ Use APA format for any citations within the PowerPoint.

esteem. We predict that there is a positive relationship. What type of Hypothesis should we perform? One-tailed Test for r Two-tailed test for r One-tailed t-Test Two-tailed t-Test

engineering summer intern suggests that, if 12 attractions were randomly selected, with replacement (meaning the same attraction may be selected more than once), that the expected percentage of FastPass attractions among the twelve would be 0.60. Is she correct? (Show your work or provide your rationale.) A random sample of park visitors is surveyed and out of the 624 attractions visited in the sample, 405 of them offered FastPass tickets. Regardless of your answer to the question above, conduct a hypothesis test to determine if the true proportion of FastPass attractions visited is greater than 0.60 with a significance level of 0.01. Based on your answer, is the park making good decisions regarding the attractions for which they offer FastPass tickets?

ill to save the lives of others whose health conditions are minor in comparison? So we did a class poll. I am now stuck with a bunch of yes and no's but I do not know which stats test to run.

tressed a bit about it, I am wondering if you could help me? I would be really glad and thankful!! I am polish by the way so sorry about it, but here is the task: 2.81. Investigate whether there are values ​​of k, m (k, me R) parameters for which the function f is differentiated in the set R. Find f '. I attached an image also, I would be really thankful for any kind of help! Jeśli means 'If'

eople experienced a group-based behavioral intervention, which involved weekly meetings with a trained interventionist for a period of six months. The following data are the numbers of pounds lost for 14 people, based on means and standard deviations given in the article. Assume the population is approximately normal. Perform a hypothesis test to determine whether the mean weight loss is greater than 20 pounds. Use the =α0.10 level of significance and the critical value method. 22.5 28.5 7.6 24.1 21.5 12.9 17.3 21.2 37.6 33.8 12.1 36.3 24.1 19.4

orm 3) Solve on interval [0, 2pi) for the equation: 5sin^2x = -sinx+6

i) for the equation: 5sin^2x = -sinx+6

ering if y’all can make a practice test out of a picture of them?

p scoring high so I can begin calculus in college. I have one hour to finish the online test. I was looking for someone to help me take this. Would you be able to help me ? Thanks

d deviation of 18. What is the minimum score needed to be in the top 10% of the scores on the test? Carry your intermediate computations to at least four decimal places, and round your answer to one decimal place.

nal function test? If yes/no what is the reason? Thank youu for helping me

Since he became the president, did President Trump act with the transparency and the integrity that you expect from a president?” 675 voters responded the poll and 351 responded “YES.” Assume that 40% of the U.S. population supports Trump. a. Define a binary random variable, Y, for supporting Trump (Y=1) vs. not (Y=0). Calculate the population mean (????????) and variance (???????? 2 ) for supporting Trump. b. Calculate the sample mean ????̅ and the sample standard deviation of ????̅ (????????̅ ) for the poll. c. Calculate the standard error of ????̅ and construct a 95% confidence interval from the poll using ????̅ and its sample standard error. d. Conduct a two-sided hypothesis test at 5% significance level to determine whether 40% of the U.S. population supports Trump. State the null and the alternative hypotheses, calculate the test statistics and the associated p-value, and conclude. Is the Fox News survey reliable? Why? Why Not? e. Suppose that you wanted to design a survey that had a margin of error of at most 1%. That is: the difference between the upper bound and the lower bound of the confidence interval should be a maximum of 2 percentage points. For example, for ????̅ = 0.52 you are aiming for the 95 % CI to be [0.51 0.53]. How large should n be if the survey uses simple random sampling?

e not questions please call me

nging the "profile" of the paper. They are now interested in finding out if the distribution over educational levels among readers has changed since the change in the profile. You have been given the task of analysing if the distribution has changed.

, all multiple choice. It is a statistics year 1 university course and I have attached a file on the exam topics below. If you understand most of these concepts, I would greatly appreciate any help/tutoring you can provide during this during this test. I also attached a practice test as an example to see what kind of questions will be will be provided. Thank you so much!

0 students). The mean was calculated to be 75%. a. Draw the possible distribution curve. Clearly indicate the direction of the skew. On your diagram label the relative position of the mean, median, and mode.

estimating the regression are presented below. The sample covers the annual series spanning from 1981-2018. Î1 = 2.4 + 0.75 Y1 + 0.45 CRD1 (1.02) (0.26) (0.12) R2 = 0.78 D-W-d= 1.15 where I, Y and represent real private investment, real GDP and real credits respectively. a) Suppose you would like to perform the test for the first order autocorrelation using the LM type test technique. Define the auxiliary regression to this end. Also suppose you found R-squared from the auxiliary regression to be 0.62, perform the LM test for the first order autocorrelation b)Suppose you confirmed that there is a first order autocorrelation problem in the error term, show how you use the GLS (Cochrane-Orchutt two step method) method to overcome the problem

the Pythagorean theorem to test if your structure has square corners or plumb walls?

year will increase the amount charged on its credit card. The bank makes this offer to a random sample of 225 of its credit card customers. It then compares how much these customers charge this year with the amount that they charged last year. The mean increase in the sample is $560, with sum of squares SS= $1,417,250. Is there significant evidence at 1% level that the mean amount charged increases under the no-fee offer? First, in the blank below report the observed value of the test statistic (e.g., observed z, observed t, or observed χ2 you will use for hypothesis testing  2. Enter the critical value for the statistic and degrees of freedom. Do we reject H0 or fail to reject

the answer is yes., does this mean that i can use it to detect any viruses as long as i use its specific antibody within the latex bead ?

. The null hypothesis // alternative hypothesis b. The alternative hypothesis // the null hypothesis c. H1 // H0 d. Null and alternative hypothesis // assumptions of the test

i-square goodness-of-fit test is similar to and different from a simple frequency distribution. Describe the chi-square test of independence. Explain what this test measures and how it is similar to and different from the chi-square goodness-of-fit test. How do you know when to use one analysis over the other? Provide a real-world example in which either a goodness-of-fit test or a test of independence should be used.

ere not accurate among 344 orders observed. Use a 0.05 significance level to test the claim that the rate of inaccurate orders is equal to​ 10%. Does the accuracy rate appear to be​ acceptable? Identify the null and alternative hypotheses for this test. Choose the correct answer below.

he National Center for Health Statistics reports that the mean systolic blood pressure for males 35 to 44 years of age is 128 and the standard deviation in this population is 15. The medical director of a company looks at the medical records of 72 company executives in this age group and finds that the mean systolic blood pressure in this sample is X = 126.07. Is this evidence that executive blood pressures differ from the national average? Conduct a hypothesis test to answer this question using α = 0.05.

tains 40 questions on the material that we have covered during class lectures and the recorded videos (Chapters 1, 2, 3, 4, 5, 8, 9, and 10). You will be given 80 minutes to submit your answers. The final exam will be found under "Online Exams" module on Canvas. The final exam will be available from 8:00 a.m. - 9:35 a.m. and you'll have 80 minutes to complete the test. This means that if you decide to start the exam at 9:00 a.m., you'll have 35 minutes to submit your answers. The test will no longer be available after 9:35 a.m. Please plan accordingly! Before you take the online final exam, make sure to use "Chrome" Browser. Canvas operates best under Chrome. Also, stay as close as possible to your router in order to avoid any internet disconnection problems. You are welcome to use your class notes and the textbook. Make sure to have a periodic table with you, a scientific calculator, and scrap paper. The final exam questions will be in the same format as the previous exams 3 & 4. I will be available this weekend if you have questions.

it will be assigned to me at 1pm on 4/10/20 (this Friday) and it will be due by 2pm. So I will need someone helping me from 1-2pm so I can complete it on time. To be quite frank I will need someone to just solve the questions for me so I can turn it in on time. I would like more sessions in the future to actually help me work through it. But for this test I need to just see the how the problem is work out. I have attached some files of example questions of what you can expect. But again, these are NOT the questions I need solved. I will not have those questions until the day of the test. So I need someone who can complete problems of this caliber quickly. Thank you.

100 and a standard deviation of 15. a. What is the probability that a given applicant will score over 100? b. Determine the probability that a random applicant scores over 135. c. Determine the probability that an applicant scores between 85 and 135.

measuring intracranial pressure (measured in millimeters of mercury [mm Hg]) for a group of traumatic-brain-injury patients on breathing support (X₁) compared a group of traumatic-brain-injury patients not on breathing support (X₂). Format answer as: 2.21 or -2.21 Group 1 X₁ Group 2 X₂ Pt 1 11 Pt. 11 15 Pt. 2 9 Pt. 12 14 Pt. 3 15 Pt. 13 12 Pt. 4 8 Pt. 14 13 Pt. 5 15 Pt. 15 10 Pt. 6 8 Pt. 16 8 Pt. 7 9 Pt. 17 16 Pt. 8 15 Pt. 18 11 Pt. 9 13 Pt. 19 12 Pt. 10 15 Pt. 20 12

i + β 4 X 4 i + β 5 X 5 i + μ i You then decide to test the null hypothesis β 2 = β 3 = β 4 = 0. What is your restricted model?

catalyse), 20% hydrogen peroxide solution, liquid detergent, beakers, boiling tube, test tubes (3), measuring cylinder and ruler and stopwatch. Aim: to find the relationship between pH level and enzyme catalase What happens if I use too much hydrogen peroxide that would react with the potato and what happens if I put in too much detergent?

encils and calculators. He has 72 pencils and 24 calculators and he must use all of the pencils and calculators. If Zayed creates the greatest number of identical packages possible, how many pencils will be in each package?

ull and alternative hypotheses and use an appropriate test with a significance level of alpha = 0.05 to determine if this statement is true or not. What test should I use the Goodness of fit Chi-squared test or Kruskal Wallis test ?

s, interest rate = 5%] against this function: public static double PMT(double yearlyInterestRate, int totalNumberOfMonths, double loanAmount) { var rate = (double)yearlyInterestRate / 100 / 12; var denominator = Math.Pow((1 + rate), totalNumberOfMonths) - 1; return (rate + (rate / denominator)) * loanAmount; } Note that the expected value for this input is a positive number between $100 and $2000. When using the website to calculate the expected value make sure you zero out all the other components (i.e. the home owner insurance)

ulation standard deviation is 4. Conduct the following test of hypothesis using the 0.05 significance level. H0: μ = 43 H1: μ ≠ 43 find the p value (round z value to 2 decimals and final answer 4 decimal place)

is due tomorrow and it is really hard.

nt. I have attached a data set to the message.

oduce the product only if the average response to a 5-point scale question (where 5 = Strongly Prefer) is better than 4.0. Please set up the appropriate hypothesis test and do the first three steps (use an á value of 0.05). Then, use these data: Sixty-four people answer the question. You calculate the average response to be 4.5 on a 5-point scale, and the standard deviation (Sx) is 2. How will you state the Null and Alternate Hypotheses [2 points]?

adolescents. I have completed the Literature review. I have to plan a research design for the thesis. ABOUT THE THESIS: Population- 13+ to 19 years adolescents No of IV s- 2 that is, Gender is the First IV and Locus of Control ( LOC) is the second IV Levels of IV- Gender has 2 levels ( male and female). LOC has two levels ( Internal Locus of Control and External Locus of Control). Both IV s are categorical variables. List of DV s- 1. Self Esteem 2. Coping 3. Happiness 4. Academic motivation 5. Exam Anxiety 6. Life Style Each DV will be measured by using appropriate Statistical scales. All DVs will be taken as continuous variables. All the scales measure the quantitative aspect only. DV MEASUREMENT: Each of the scales that will be used to measure DV contains several areas or dimensions or sub-categories. For example, the self-esteem scale contains 78 items divided into 6 categories like personal, social, emotional, academic, intellectual and moral. THESIS AIM- To check the impact of IV s on each of these DV s in isolation and also investigate the interaction effects between gender and locus of external. I will be using the SPSS package for calculations. PROBLEM: Problem 1: Which is the most appropriate Statistical test or design that should be used here? I believe a 2x2 ANOVA will be best suited here. Problem 2: If I am measuring the impact of IV s on each DV in isolation, should I use several Two Way AONVA tables or a single MANCOVA table? Problem 3: Each of the DV is measured using scales containing several dimensions. Are such dimensions of the scales need to be treated as the levels of the dependent variables? In other words, do the levels of DV are decided as per the dimensions of the scale that was used to measure the DV? If this is so, then even if I am measuring the DV s in isolation; each DV will have multiple levels, which in turn will change my design from Two Way ANOVA to perhaps MANCOVA? What is the right approach here? Note: I have not intentionally divided DV into any levels. Kindly help me to arrive at a statistically significant research design! If possible, kindly briefly explain the type of the design as well as the rational or suitability of the sign for my research problem.

e effect of lowering the heart rate. For a sample of 50 medical students whose pulse was measured after 6 weeks of taking the drug, the mean heart rate was 70 beats per minute (bpm). If the mean heart rate for a population was 72 bpm with a standard deviation of 12, can the psychiatrist conclude that the new drug lowers heart rate significantly? (Set the alpha level at .05) Complete all steps of the hypothesis test to test the null hypothesis.

consists of adding/subtracting/dividing/multiplying rationals.

grammar so please help

oups were used (lawyer, physical therapist, cabinetmakers, and system analysts). The results obtained for a sample of 5 individuals from each groups. Using the "ANOVA Output" below, please answer the following questions ( Use the significance level 5%). Q1. The value of the test statistic is ____________ QUESTION 2 Q2. The p- value of the test is _________________ QUESTION 3 Q3. At the 5% significance level, the null hypothesis is rejected if the value of the F statistics is >= _________________ QUESTION 4 Q4. Interpret the ANOVA result at the 5% significance level. Is there any difference in the job satisfaction among the four occupational groups? Answer either yes or no. Explain the reason of your answer statistically. QUESTION 5 Data from a Trucking Company is Southern California were utilized to examine the relationship among total daily travel time (y), miles to traveled (X1), and the number of deliveries (x2). Based on the "Regression Output" below, please answer the following questions. Q5. The number of sample used in this regression analysis is______________ QUESTION 6 Q6. What is the value of the coefficient of determination? QUESTION 7 Q7. What is the F test statistic value for the regression model significane test? QUESTION 8 Q8. What is the predicted travel time for X1 =95, and X2= 6? QUESTION 9 Q9. Is X2 (number of deliveries) related to Y (travel time)? Answer either yes or no. Explain the reason of your answer statistically. ATTACHED ARE GRAPHS

also have an upcoming test on this unit on Monday I am looking to get some help studying for.

llion a fine against Koyo USA Corp. for violations at its Big Island water bottling plant, state officials said Monday. The company, which markets its filtered bottled ocean water in Hawaii and Japan under the band name Mahala Hawaii Deep Sea, paid $1 million to the Health Department on May 2 and must make the second payment by Aug. 31, 2013, health officials said. The Health Department had fined the company $5 million for the violations in September 2011 after an investigation found it had been using an unapproved manufacturing process since 2006. None of the company’s bottled waters was recalled and health officials said there was no threat or risk to human health, as confirmed by test results from independent laboratories and the state lab. Koyo continues to operate its facility at the Natural Energy Laboratory of Hawaii Authority in Kailua-Kona. Statement: The government should fine companies that do not follow procedures. 1. Present arguments (as many as you can think of) in support of the government why it is justified to fine Koyo. 2. Present arguments (as many as you can think of) in support of why Koyo should be allowed to do what it did. 3. What is your position? 4. Should the government be allowed to do this in some industries but not all? Why or why not? WRITE YOUR ANSWER UNDER FOUR CLEARLY MARKED SUBHEADINGS (SEE BELOW) REFERRING TO THE FOUR ABOVE. 1. FOR THE MOTION: 2. AGAINST THE MOTION: 3. MY POSITION: 4. DISCUSSION:

Corp. for violations at its Big Island water bottling plant, state officials said Monday. The company, which markets its filtered bottled ocean water in Hawaii and Japan under the band name Mahala Hawaii Deep Sea, paid $1 million to the Health Department on May 2 and must make the second payment by Aug. 31, 2013, health officials said. The Health Department had fined the company $5 million for the violations in September 2011 after an investigation found it had been using an unapproved manufacturing process since 2006. None of the company’s bottled waters was recalled and health officials said there was no threat or risk to human health, as confirmed by test results from independent laboratories and the state lab. Koyo continues to operate its facility at the Natural Energy Laboratory of Hawaii Authority in Kailua-Kona. Statement: The government should fine companies that do not follow procedures. 1. Present arguments (as many as you can think of) in support of the government why it is justified to fine Koyo. 2. Present arguments (as many as you can think of) in support of why Koyo should be allowed to do what it did. 3. What is your position? 4. Should the government be allowed to do this in some industries but not all? Why or why not? WRITE YOUR ANSWER UNDER FOUR CLEARLY MARKED SUBHEADINGS (SEE BELOW) REFERRING TO THE FOUR ABOVE. 1. FOR THE MOTION: 2. AGAINST THE MOTION: 3. MY POSITION: 4. DISCUSSION:

for a smartphone​ carrier's data speeds at​ airports, the mean is μ=14.00 Mbps. The sample size is n=26 and the test statistic is t=1.678 Use Technology to find the P-Value

stions. The subject is college mathematics and the topic is probability and counting. I have unlimited attempts on the homework and two attempts on the math test. I just didn't have time to learn the chapter.

e investigations we determined that the program input size can be varied in a wide range and for N-bit input the program result is also always N – Bit long. Additionally we found that the program working time depends significantly on input length N, especially when N is greather than 10- 15 . Our test also revealed, that the program working time depends only on input length ,not the input itself. During our tests, we fixed the following working times (with an accuracy of one hundredth of a second) N = 2 – 16.38 seconds N = 5 – 16.38 seconds N = 10 – 16.44 seconds N = 15 – 18.39 seconds N = 20 – 1 minute 4.22 seconds We also planned to test the program for N = 25 and N = 30, but for both cases the program didn’t finish within half and hour was forced to terminate it. Finally, we decided for N = 30 to not terminate the program,but to wait a little bit longer.The result was 18 hours 16 minutes 14.62 seconds . We repeated the test for N = 30 and it gave us exactly the same result, more than 18 hours. Tasks: a) Find the program working times for the following three cases N = 25, N = 40 and N = 50. b) Explain your result and solution process.

egarding ANOVA analysis

curve, and stating the decision rule generating ANOVA table. to determine the test statistic

basics as well as the Chebychevs rule

A (refresher), linear regression, logistic regression, multivariate regression, chi square test (refresher), and more. CLT is a given, so are probability distributions; I eat MC simulations for breakfast. I only work in Excel; not so much interest in Crystal Ball and other add-ins; I have created my own VBA Excel functions such as Spearman(), triangularprobabilitydist() and PoissonInv(). So hit me with what you got, I am up to the challenge. looking for some fun and challenging time. Availability evenings and weekends; looking at 20+ hours of tutoring over next 6 weeks.

t way to do that would be to investigate her students’ test performance in a number of ways. The first thing she did was separate her students’ test scores based on the time of day she held her lectures (morning vs evening). Next she recorded the type of test students were writing (multiple choice vs short answer). She selected a random sample of students from her morning (n = 6) and evening (n = 7) classes (total of 13) and recorded scores from two of their tests as shown below. Morning Evening Multiple Choice Short Answer Multiple Choice Short Answer 66 74 70 45 64 55 80 55 72 77 78 55 70 57 84 60 61 58 64 70 67 69 84 60 70 63 DATA Set 1: Good morning sunshine. Is Time of Day important? 1. Prof. Maya recently read an article that concluded students retained more information when attending classes in the morning. Based on this finding she thought students in her morning class might have performed differently on their Short Answer test scores when compared to students in her evening class. Does the data support her hypothesis? [15 points] Multiple Guess! Does Exam Type matter? 2. Prof. Maya also knew that students often did better on multiple-choice tests because they only have to recognize the information (rather than recall it). Given this, she thought students attending the morning class might perform differently on the Multiple-Choice test when compared to the Short Answer test. Does the data support her hypothesis? [15 points] DATA Set 2: We’ll try anything once. Does the new Tutorial Plan work? 3. Combining all of her students (and ignoring time of day), Prof. Maya asked her TAs to try a new – and very expensive - tutorial study plan. She then chose a random sample of 20 students to receive the new study plan and another sample of 30 to continue using the old study plan. Following an in-class quiz, she divided the students into 3 levels of achievement (below average, average, and above average), and then created the frequency table below. Does the new expensive tutorial study plan improve student performance? [15 points] Below average Average Above Average New plan 7 7 6 Old plan 6 15 9 DATA Set 3: How are YOU doing? 4. Finally, Prof. Maya thinks that her 2018 class is doing better than her 2017 class did. She decided to collect a sample of test scores from the students in her course this year (combining all of the groups) and compare the average with her previous year’s class average. Does the data support her hypothesis? [15 points] The 2017 class average = 63% The 2018 sample size = 25 The 2018 sample standard deviation = 11 The 2018 sample average = use your actual midterm mark (yes, you the student reading this :) Bonus: What does it all mean? 5. Bonus: IF Prof. Maya had complete control of how and when she ran her course in 2018, considering all the info you just found in the 3 data sets, write a brief statement of how you would recommend she set-up the course next year – and explain why. [5 points]

t way to do that would be to investigate her students’ test performance in a number of ways. The first thing she did was separate her students’ test scores based on the time of day she held her lectures (morning vs evening). Next she recorded the type of test students were writing (multiple choice vs short answer). She selected a random sample of students from her morning (n = 6) and evening (n = 7) classes (total of 13) and recorded scores from two of their tests as shown below. DATA Set 1: Good morning sunshine. Is Time of Day important? 1. Prof. Maya recently read an article that concluded students retained more information when attending classes in the morning. Based on this finding she thought students in her morning class might have performed differently on their Short Answer test scores when compared to students in her evening class. Does the data support her hypothesis? [15 points] Multiple Guess! Does Exam Type matter? 2. Prof. Maya also knew that students often did better on multiple-choice tests because they only have to recognize the information (rather than recall it). Given this, she thought students attending the morning class might perform differently on the Multiple-Choice test when compared to the Short Answer test. Does the data support her hypothesis? [15 points] DATA Set 2: We’ll try anything once. Does the new Tutorial Plan work? 3. Combining all of her students (and ignoring time of day), Prof. Maya asked her TAs to try a new – and very expensive - tutorial study plan. She then chose a random sample of 20 students to receive the new study plan and another sample of 30 to continue using the old study plan. Following an in-class quiz, she divided the students into 3 levels of achievement (below average, average, and above average), and then created the frequency table below. Does the new expensive tutorial study plan improve student performance? [15 points] Below average Average Above Average New plan 7 7 6 Old plan 6 15 9 DATA Set 3: How are YOU doing? 4. Finally, Prof. Maya thinks that her 2018 class is doing better than her 2017 class did. She decided to collect a sample of test scores from the students in her course this year (combining all of the groups) and compare the average with her previous year’s class average. Does the data support her hypothesis? [15 points] The 2017 class average = 63% The 2018 sample size = 25 The 2018 sample standard deviation = 11 The 2018 sample average = use your actual midterm mark (yes, you the student reading this :) Bonus: What does it all mean? 5. Bonus: IF Prof. Maya had complete control of how and when she ran her course in 2018, considering all the info you just found in the 3 data sets, write a brief statement of how you would recommend she set-up the course next year – and explain why. [5 points]

You will use a single backing array(instead of two) and two hash functions (both MultiplicativeHashFunction objects), h1 and h2. The z values for your hash functions (and all subsequent hash functions needed when resizing or rehashing) will be taken from an array of integers passed to the CuckooHashTable constructor. The first value in the array will be used for the first incarnation of h1, the second value for the first incarnation of h2, the next two values will be used for the next incarnations of h1 and h2, etc. Note: be careful to follow this. We will be checking your array (via toString()) and correctness will depend on using the same values of z as we do when generating the test code. The MultiplicativeHashFunction objects you will use also have a getParams() method to show the value of z,w,d when that hash function is used. When adding an item, x, that is not in the hash table already, always add it to t[h1(x)] (even if t[h1(x)] is already taken and t[h2(x)] is available). The load factor must always satisfy α=n/t.length≤1/2. If adding an item will violate this then resize the table (doubling its size) and rehash everything (before doing the add). After removing an item, if the load factor satisfies α=n/t.length<1/8 AND the dimension satisfies d≥5 then resize by reducing the size of the bucket table by a factor 2 and rehash everything. Each time you resize you will create two new hash functions using the next two z values (that were initially passed to the constructor). Your constructor should initialize an empty bucket array of size 16 (i.e., d=4). This is the minimum size your bucket array should ever be. Never let the dimension be smaller then 4.

ertia has argued that the political problems have been exaggerated and that fewer people have been imprisoned for political reasons than you have been led to believe. However, Amnesty International reports that one third of the prisoners in Desertia are political prisoners. A representative from your company visited a prison and sampled 500 prisoners in Desertia, concluding that 90 of them are political prisoners. Test the hypothesis, at the 5% significance level, that one third of the prisoners in Desertia are political prisoners. Does this data support the Minister of Commerce or Amnesty International? What other issues might be important when evaluating this data?

nd the alomic mass for b if 19.9% of b atoms are 10b with a mass of 10.0129371 amu and 80.1% are 11b with a mass of 11.0093055

les can perform all normal functions at temperatures approaching 90 degrees celsius, while the DNA polymerase found in most bacteria cannot function at such extreme temperatures. Describe the differences in protein structure that could account for such variance in temperature resistance 2) Large nonpolar molecules can be dissolved into polar liquids in the presence of a class of compounds known as surfactants. This process is crucial in the digestion of lipids and the production of these compounds is the primary role of the gall bladder. Describe how the compounds produced in the gall bladder are able to increase the solubility of lipids in the polar environment found within the small intestine.

questions and I have a test tomorrow.

viduals differ from people in general in remembering threatening information. The memory performance of an individual for negative words was measured and was found to have a score of 48. The population average is 34 with a standard deviation of 9. At the 5% level of significance what should you conclude about whether clinically anxious individuals have a tendency to remember threatening words? (a) Clearly state null and research hypotheses in terms of the mean scores on the memory performance on negative words, μ, of anxious individuals. (b) What is the comparison distribution for the sample’s Z score? (c) What are the cut-off values for a test with significance level 0.05? (d) What is the observed Z score? (e) What is your conclusion? An educational psychologist was interested in whether children who grow up in bilingual settings have an advantage of distraction resistance compared with children in general. The distraction resistance test was administered to a randomly chosen child with bilingual upbringing background who was found to have a score of 69. The population average is 60 with a standard deviation of 3. Do children with bilingual upbringing background score higher on distraction resistance test than children in general? Use the 1% level of significance. (a) Clearly state null and research hypotheses in terms of the mean scores on distraction resistance, μ, of children with bilingual upbringing. (b) What is the comparison distribution for the sample’s Z score? (c) What are the cut-off values for a test with significance level 0.01? (d) What is the observed Z score? (e) What is your conclusion?

who oassed the second math test is 27. if 23 students passsed both tests how many failed both

selected, what is the probability that the subject is not​ lying? Is the result close to the probability of 0.395 for a negative test​ result? Did the Subject Actually​ Lie?

test questionmy test question

nce level, test the claim that the pulse rate of men have a standard deviation equal to 10.

is a multiple of three or greater than eight. A certain game consist of rolling a single fair die and pays off as follows nine dollars for a six, six dollars for a five, one dollar for four and no payoffs otherwise.Find the expected winnings for this game. A fair die is rolled four times. A 6 is considered success While all other outcomes are failures find the probability of three successes. A pet store has nine puppies including 4 poodles 3 terriers and 2 retrievers. If Rebecca an errand in that order each select one puppy at random without replacement find the probability that Aaron select a retriever given that from last Rebecca selects a poodle. Experience shows that a ski lodge will be for (166 guests) if there is a heavy snowfall in December, well only partially full (52 guests) With a light snowfall. What is the expected number of guests if the probability for a heavy snowfall is 0.40? I assume that heavy snowfall and light snowfall are the only two possibilities. A pet store has six puppies Including two poodles two Terriers and to retrievers. If Rebecca and Aaron in that order each select one puppy random with replacement (They both may select the same one) Find the probability That Rebecca selects a terrier and Aaron selects a retriever. Three married couples arrange themselves randomly in six consecutive seats in a row. Determine (A) the number of ways the following event can occur, And (B) the probability of the event. (The denominator of the probability fraction will be 6!=720, The total number of ways to arrange six items ). Each man was that immediately to the right of his wife. A coin is tossed five times. Find the probability that all our heads. Find the probability that at least three are heads. A certain prescription drug is known to produce undesirable facts and 35% of all patients due to drug. Among a random sample of a patient using a drug find the probability of the stated event. Exactly 5 have undesired effects. 10,000 raffle tickets are sold. One first prize of 1600, for second prizes of 800 each, And 9/3 prizes of 300 each or to be awarded with all winners selected randomly. If you purchase one ticket what are your expected winnings. Suppose a charitable organization decides to Raise money by raffling A trip worth 500. If 3000 tickets are sold at one dollar each find the expected net winnings for a person who buys one ticket. Round to the nearest cent Three men and seven women are waiting to be interviewed for jobs. If they are selected in random order find the probability that all men will be interviewed first A fair diet is rolled. What is the probability of rolling on our number or a number less than three. The pet store has 15 puppies, including five poodles, five Terriers, and five retrievers. If Rebecca and Aaron, in that order, select one puppy at random without replacement, find the probability that both select a poodle Beth is taking a nine question multiple-choice test for which each question Has three answer choices, only one of which is correct. Beth decides on answering By rolling a fair die And making the first answer choice if the die shows one or two, The second If the die shows three or four, and the third if the die shows five or six. Find the probability of the stated event. Exactly 6 correct answers For the experiment of drawing a single card from a standard 52 card deck find (a) the probability and (b) the odds are in favor that they do not drive six

utomatic selling machine.

his year. I'm looking for a formula that will tell me the probability that a person will cough x number of times in a given week. I started with the Poisson Distribution, but Poisson doesn't seem to take into account standard deviation. To calculate the probability with Poisson, only the mean, expected value, and test value are needed, meaning the variance/standard deviation of the data could vary widely, and you'd still get the same probability distribution. For example, if someone coughed exactly 5 times everyday, you'd get the same probability distribution if this person alternated coughing 0 times one day, 10 times the next, 0 times the next day, 10 times the next, and so on. Does my question make sense? Thanks for your help.

ve a clue at how to do it. 1st Take 2mL of the NaHSO3 solution. Add a drop of dilute HCl solution then add .02M KMnO4 solution one drop at a time, mixing after each drop, up to no more than 5 drops. What changes did you see? Test for SO42- by adding .1MBaCl2 solution one drop at a time, mixing after each drop, up to 6 drops. Write the balanced half-reaction equation for the oxidation of the bisulfite ion, HSO3-.

s, you run the following re- gression on a sample of 65 countries for the year 2012: books = 8.2314 + (1.0329) + 0.3149 age (0.4111) 8.1391 (0.5812) ? income 4.8121 (0.3543) + ereaders, 3.4125 educ (0.7314) where books is the number of paperback novels purchased in 2012, income is per capita GDP in 2012, educ is the average number of years of education for the population in 2012, age is the average age of the population in 2012 and ereaders is the number of electronic readers (e.g. Kindles) sold in 2012. The numbers in parentheses refer to standard errors corresponding to the estimated coefficients. You also find that R2 = 0.7231 and SSR = 1, 231. (a) Which of the slope coefficients are statistically different from zero at the 5% level of significance? Perform statistical tests to answer this question. [8 marks] Solution: Each test carries 2 marks. t ratios are: 14.0039, 4.66, 0.7659, -13.5819. The 2.5% critical value for a tn?k=65?5=60 distribution can be seen to be 2.0000, implying that all coefficients except the one on age are significant. (b) Does the intercept have a plausible interpretation? Explain briefly. [4 marks] Solution: The intercept indicates that demand for paperback novels equals 8.2314 when income, educ, age and ereaders all equal zero. Clearly this is not plausible. (c) Construct a 95% confidence interval for the coefficient on age. [8 marks] Solution: CI is given by [bage

est, correlated groups t test, 1 way bet-sub Anova, 2-way bet-sub Anova, 1-way rep-measures ANOVA or test for signif. of correlation. Attachment theory hypothesizes that children's relationships with their parents shape habitual patterns of attachment in close relations. Thus, ones childhood experiences should connect to relationship quality during adulthood. Many years ago, a large group of teenage boys had been interviewed about their families. These interviews were coded to provide data in childhood family environment- a measure on which low numbers reflected distant/punitive/cold relationships with parents while higher numbers reflected nurturing/autonomous/warm relationships. Many decades later, researchers attempted to re-contact these same people. A total of 81 men(aged 70-85 years) who had been married to the same spouse for at least ten years and agreed to participate were interviewed about their marriage. The spouses of these men were interviewed as well. The interviews were coded in order to provide a measure of relationship attachment-higher scores reflected greater levels of relationship satisfaction,loving, and caring. Is there any evidence to support attachment theory's claim that children's parental relationships predict relationship quality in adulthood?