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1.1) (Ch. 7) Explain what a residual is (also known as residual of prediction). 2) ...

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?

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litarianism. To begin with, provide a full description of left-wing authoritarianism. Then identify two traits of totalitarian syndrome and explain why you believe they support the assertion that left-wing authoritarianism is more similar to totalitarianism.
There are different understandings as to the nature of representation in an indirect democracy. Name and describe each type. Finally, explain which of these you could expect to find in the parliamentary system and why.
What, in the parliamentary context, is confidence? Why is it important, how might it be lost, and what happens if it is lost?
The Canadian and the US political systems each contain a Senate. In one of the regimes the Senate is the dominant chamber, in the other it is not. Identify which is which and explain why.
Provide a full description of the characteristics of a federal state. In your view, how would Plato and Aristotle classify this type of governmental system?

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stions:
Based on the energies you found in c and d, which of these complexes has the largest predicted splitting between the t2g orbitals and the eg orbital. Remember--not every element has occupied d-orbitals. How is that going to impact your next answers?
Which one would absorb the longer wavelength of light? Explain why.
Transition metal complexes are often vibrantly colored due to the splitting of the d-orbitals caused by the ligands. Based on your results would you expect that both of these complexes have any significant color? Explain.

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e dynamics of culture and people in teams.•To develop intercultural communication skills to communicate, solve problems, make decisions, and resolve conflict within teams.Methodology:Discuss the process of integrating a new product or service into the culture of FTIC. Since this assignment is about the team at FTIC and not your dynamics as a team, the narrative for this deliverable must be written in third person (objective style). At least three sources must be used in each section and this document should be a maximum of 2,000 words.Organizational Culture: How would you describe the current organizational culture at FTIC? How would the product or service your team has researched support the current organizational culture at FTIC? How would you suggest FTIC structure the team responsible for this new product rollout? What leadership characteristics will be necessary within the team responsible for the rollout? Why did you pick these characteristics? This should build upon your work in D3.VABES: What are the VABES of FTIC? How does your product align with the VABES of FTIC? Are there ways your product might not align with the VABES of FTIC?Organizational Structure: What is the organizational structure of FTIC? Where would your product fit into the organizational structure of FTIC? What steps will FTIC need to take to fully integrate your product into their current organizational structure? If you do not think it will fit into the organizational structure, explain why. Grading: For this section of the deliverable, you will be graded using the AACSB standards for written work rubrics located in the Z371 syllabus. This assignment is worth 25 points.

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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
.
.

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1. Which best describes the difference between single cell and multicellular organisms? *
1 point
a. Single-cell organisms can perform all processes in one cell, but multicellular organisms need many cells to do specialized functions together.
b. Single-cell organisms need one cell to function, but multicellular organisms need lots of cells who all have the same job.
c. Single-cell organisms need many cells to do specialized functions together, but multicellular organisms can perform all processes in one cell.
d. Single-cell organisms need multiple cells with similar structures, but multicellular organisms need only one cell.
2. How does your brain move your arm? *
1 point
a. The brain sends a message to your bones to move your arm
b. The brain sends a message to your nerves to move your arm
c. The lungs send a message to your muscles
d. The muscles send a message to your brain
3. Which correctly explains the difference between the respiratory and circulatory system? *
1 point
a. The respiratory system includes your lungs and the circulatory system includes your heart
b. The respiratory system takes in oxygen and the circulatory system breaks down food
c. The respiratory system takes in water and carbon dioxide, but the circulatory system does not
d. The respiratory system includes the brain and the circulatory system includes to lungs
4. Which of the following is a learned behavior? *
1 point
a. Dimples when you smile
b. Ability to sing
c. Freckles
d. Hair color
5. These are all examples of: *
1 point
Captionless Image
a. Evaporation
b. Radiation
c. Transpiration
d. Percipitation
6. Which of these does NOT make a new material? *
1 point
a. Burning a wooden log
b. Iron nail rusitng
c. Ice melting
d. Mysterious color change
Explain why: *
This is a required question
7. What would you want to put your drink it to keep it cold? *
1 point
Metal (good conductor)
Plastic (bad conductor)
Explain why: *
8. How does the sun play a role in the water cycle? *
1 point
a. Heats water and turns it into water vapor gas
b. Cools gas to make water droplets and clouds
c. Creates strong winds
d. Causing it to rain
9. What will happen when a metal chair is left outside in the hot sun? *
1 point
a. Increase in weight
b. Decrease in weight
c. Increase in size
d. Decrease in size
10. What would the weight of the lemonade be if the water is 3.0 grams, the ice is 2.5 grams, and the mixture is 0.25 grams? *
1 point
a. 5.75 g
b. 5 g
c. 6.25 g
d. 10.1 g

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van and Alex, have the same productivities: Sylvan is identical to Rajan, while Alex
and Esther are identical.
Esther and Rajan both engage in market work. Sylvan works full time at home, so only Alex works in the
market.
a) Given this information, which couple has the higher opportunity cost of home produced goods?
Explain how you determined this. You can add a diagram if that helps, but you are not required
to include one.
b) Can you determine which couple has the higher utility? Explain why or why not.
Suppose now that value of market production for both Alex and Esther increased to $12/per hour.
c) Explain the change in the household joint production possibility frontier generated by this
change.
d) Explain what would happen to each couple’s choice of both household and market produced
goods, using an analysis by means of income and substitution effects.
e) What changes in time allocation for each couple that would be necessary to produce and
consume this new bundle? Briefly explain your reasoning.

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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.

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tarting the process of meiosis. Draw the chromosomes, depicting them inside the cell, as you would expect them to appear during Metaphase I. (Note: there is more than one correct answer for this prompt. You only need to draw one of the answers.)
2.How many copies of gene A are present in this parent cell during Metaphase I?
3.How many total chromosomes would you have after DNA replication (synthesis)?
4.While examining a specific tissue in this organism, Bridget noticed some cells with more than one nucleus (this is commonly found in many species, including humans!). What could have happened during the process of cell division to yield these multinucleate cells?
5.In one of her harebrained experiments, Dr. Milam remembers treating some cells from one of her organisms with a drug that resulted in the cell being unable to replace RNA primers with DNA. Which protein in the cells was most likely affected by this drug treatment?
6.In another one of her experiments, Dr. Milam treated cells with a different drug that caused an adenosine in gene A to be paired with a cytosine instead of a thymine during DNA replication. However, Dr. Milam remembers that the amino acid sequence of the protein product of gene A wasn’t actually changed. How could you explain this observation?

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lin dimers to the “+” end of a microtubule. Assuming that colchicine has no other actions, what effects would this have on the functioning of the endomembrane system. Explain how you came to that conclusion using principles that we have learned about the eukaryotic cell.

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there was no Age and/or Sex entered) has been created. It is called Newmarket_Cleaned.csv.
Data file: Newmarket_Cleaned.csv
(Links to an external site.)
. Direct HTTP link: https://unh.box.com/shared/static/p8x4xlbean3rlslmfskfu74fe89yjui8.csv
Please use it for this problem. Consider the “Model 4” developed in class, which contained Age, Age^2, and Sex as independent variables. First re-create this model with the cleaned dataset (you will need to create the Age^2 column; you can verify your model summary against the one from class), and then proceed with this problem.
Make the necessary changes to the model to incorporate Year as a categorical explanatory variable (you may need to change how R interprets the variable, before running this model). Does the year of the race seem to be related to mean finishing time, after taking into account the other variables in Model 4? Use the 0.05 significance level. Explain your work/logic, and key output to support your answer.
Using the updated model, after accounting for age and sex, what is the expected difference in finishing times for runners from 2008 versus runners from 2004?
Using the updated model, after accounting for age and sex, what is the expected difference in finishing times for runners from 2014 versus 2011?
In the above, the directions are to treat Year as a categorical variable. Explain how the regression model would be different if it instead were treated as a numeric variable. What are the assumptions being made about the effect of Year in the two different approaches?

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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]

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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]

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1.AU MAT 120 Systems of Linear Equations and Inequalities Discussion

mathematicsalgebra Physics