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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.

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?

R TIMED TEST, with 9 questions. I know what types of questions will be on the test, but I CANNOT INCLUDE THEM UNTIL WE ARE READY TO BEGIN THE TIMER. Please see my attached images, the first one on confidence intervals makes up questions 1-7, the second is a variation of these initial confidence interval questions, and the last picture shows the format of the last 2 questions on hypothesis testing. This gives you plenty of time and the questions are rather straight forward. I NEED SOMEONE ABLE TO BEGIN NOW. THE FINAL DEADLINE IS 11PM PST Thanks

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.

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

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?

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 . .

, 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!

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

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

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.

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)

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.

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

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:

d that 70% of adults go to the doctor for their yearly checkup. If you want to test the validity of this claim, how many adults must be surveyed in order to be 90% confident that the sample percentage is in error by no more than 5 percentage 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. 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?

rtia 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 supports the minister of commerce of amnesty international? what other issues might be important when evaluating this data?

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.

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

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?