Enter the following dataset into SPSS. Create numeric codes for the nominal variables, then use “values” to show the meaning of the numbers:

ID Age Jog_YN Weight Take_Vit

1 20 N 180 Y

2 30 N 150 N

3 33 N 175 N

4 40 N 163 N

5 41 N 190 N

6 43 N 171 Y

7 45 N 130 N

8 50 N 188 N

9 52 N 164 N

10 55 N 170 N

11 21 Y 136 Y

12 22 Y 155 Y

13 24 Y 160 Y

14 27 Y 142 N

15 30 Y 170 Y

16 32 Y 125 Y

17 33 Y 151 N

18 34 Y 134 Y

19 37 Y 115 Y

20 48 Y 170 Y

1. Check your dataentry by getting descriptive statisticson all of the above variables. What is the meanage for the whole group? What is the SD for weight? (2 points for the analysis, 0.5 each for the two values requested).

2. Test whether joggers are more likely than non-joggers to take vitamins: In other words, get a cross-tabulation of the two variables, request row and column percentages, and click on the “statistics” tab to request “chi-square”. (3 points for the stem. 2 points for part a, 2 points for b  7 in total)

a. What specific percentages from the table best answer the question as posed? What do they show?

b. Which two-tailed p-value from the chi-squaretable would you report? What does it show? Why did you pick that p-value?

3. Obtain a table showing mean, SD, and medianage and weight for the joggers and non-joggers. You don’t have to do a statistical test, just get the statisticsrequested. Briefly interpret the results. (3 points).

This in-depth solution analyzes the data set and answers the three questions with stepwise calculations and explanations.