Statistics HW 4 - Question 1 0.2 out of 0.2 points The aim...

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Question 1 0.2 out of 0.2 points The aim in this homework is to teach you: (1) How to interpret the graphical and numerical descriptive measures. (2) Understanding the differences between parametric and nonparametric methods. (3) Conduct Sample Size calculations (from Lectures 5-7). We will only use the Armspan data for females to answer the following questions. Remember: Select Data / Split Worksheet in Minitab Download the following dataset: Arm Span Data Using the Armspan data, you will practice visual techniques (box plot, histogram, probability plot), descriptive statistics (mean, standard error, confidence interval for the mean), nonparametric tests (sign and Wilcoxon signed rank) and parametric tests (paired samples t- test) to see if females systematically have different arm spans and heights. The variable, "differen" (difference between height-armspan) is already in the file but follow the steps just for practice. You will now practice the creation of a new variable called "differ". To do this, follow the given steps: • Left click on "Calc" • Left click on "Calculator" • Store result in variable: differ • Expression: ‘height’ – ‘armspan’ • Left click on "OK" This variable will be used to answer the following questions. Did you do all of the above? Selected Answer: Yes, I did Answers: Yes, I did No, I did not Question 2
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0.2 out of 0.2 points Use the variable differ to create a box plot, histogram, probability plot and summary statistics then answer the following question. Does the box plot show any extreme outliers (Hint: Minitab Command Editor might assist)? Selected Answer: There is clear evidence of extreme outliers Answers: There is no evidence of extreme outliers There is clear evidence of extreme outliers There is possible evidence of an extreme outlier Question 3 0.2 out of 0.2 points Use the variable differ to create a box plot, histogram, probability plot and summary statistics then answer the following question. Does the boxplot show any mild outliers? Selected Answer: There is possible evidence of mild outliers at the lower end of the scale Answers: There is possible evidence of mild outliers at the lower end of the scale There is possible evidence of mild outliers at the higher end of the scale There is no evidence of mild outliers Question 4 0.2 out of 0.2 points Use the variable differ to create a box plot, histogram, probability plot and summary statistics then answer the following question. Does the histogram look reasonably bell shaped? Selected Answer: The histogram does not look reasonably bell- shaped Answers: The histogram does not look reasonably bell- shaped The histogram looks reasonably bell-shaped
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Cannot answer the question; not enough information is available. Question 5 0.2 out of 0.2 points Use the variable differ to create a box plot, histogram, probability plot and summary statistics then answer the following question. Does the histogram satisfy the Gaussian assumption?
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