Q1: Read and review the scripture verses and commentary in the "_Devotion" PowerPoint slides. Then, complete the assignment in the Word document. Note that you will need two di (or dice) for this exercise. If you do not have di, then you can use this virtual di-roller. After you have completed the worksheet, enter your tabled data in this Google Sheet. On the Class Di Roll Data tab, enter your name on the first available row, and then enter the number of times you recorded each di-sum (in your Word document) in the corresponding columns next to your name.
Questions:
1. How does a positively skewed distribution differ in appearance from a negatively skewed one? Provide two (unique, no duplicate) examples of variables in your field that tend to be positively or negatively skewed. (150-200 words)
2. After reading the discussion in Tanner, pages 123-127, when might we use an alpha level other than the conventional 0.05 to conclude whether statistical support exists for a research hypothesis? Provide examples from the field. (150-200 words)
Chapter 4
1. What is the z score for a score of 79 when the mean score of all persons who complete a depression scale is 89 and the standard deviation is 5?
2. Is a person with a score of 79 more or less depressed than most other people who complete the scale?
3. Use Table A (p. 458-459 in your text) to find the following:
o a. The area of the normal curve above a z score of 1.71
o b. The area of the normal curve between the mean and a z score of -1.34
o c. The z score of the normal curve that marks the 38th percentile
o d. The z scores that mark the upper and lower limits of the middle 42 percent of the normal curve.
Complete the following problems, found at the end of each respective chapter in Tanner textbook. For these problems, feel free to use Microsoft Excel (or an equivalent) or SPSS, but submit all answers together in one file.
Chapter 4
• Questions 2, 3, 4, 8, and 12
Chapter 5
• Questions 1, 4, 5, 8, and 12
SPSS
Open the Wii database and run a boxplot on Pain Score (y-axis) and Athlete Status (x-axis).
In a separate Word document, please respond to each of the following questions in a few sentences:
1. On average, who experiences more pain? How do you know?
2. Are there any outliers? If so, how many?
3. Which status has the greater range of scores? How do you know?
4. Without any other data, what are your initial thoughts to explain the different range of pain scores between the two groups?
Please save your output and submit with your written assignment (e.g., copy and paste into your assignment).
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