Questions: 1. How many total cases are in the data file? 2. What mistakes, if any, did you find and correct? Complete the following table

Questions: 1. How many total cases are in the data file? 2. What mistakes, if any, did you find and correct? Complete the following table (add any additional rows as needed) with any errors you found and corrected. 3. How many variables are in the file? 4. How many respondents have visited AFC within the last 30 days? 5. Using only the standard deviation for each of the Importance variables, which variable had the greatest amount of agreement? List these four variables in table below in order of most to least agreement. Create and present a Frequency table to present your answers to the following questions: 6. What percentage of the respondents who answered the Gender question is male? 7. What percentage of everyone who took the survey is female? Create and present a single Frequency table What percentage of the respondents who answered the question make over $120,000 per year? What percentage of the respondents who answered the question reported making $60,0000 or less per year? What percentage of the respondents who answered the question reported making over $30,000 per year? What percentage of the survey respondents reported making between $60,001 and $75,000 per year? Create and present a Histogram 12. What are the mean, standard deviation, and count for age? 13. What are the upper and lower boundaries (i.e., ages) of the normal distribution? How did you calculate these numbers (show your calculations)? 14. Identify (by specific ages and frequency) any outliers (if any). 15. If there are outliers, what do you recommend be done with them and why? and present formula is in the book Createand present 19. Be sure to show the ranking numbers (e.g., 1,2,3,4). Create a table to compare the means between: 20. The pairs of all of these four continuous Importance variables (General Fitness; Social Aspects; Physical Enjoyment; Specific Medical Concerns). Explain if there are/are not significant differences between each pair of variables. List the variables in the table in the order of most important to least important (be sure to show why/how you determined the level of importance). Run Create and present a Cross-tabulation table of the variables Pool and Doctor. 23. What percentage of the total sample utilized the therapy pool? 24. What percentage of who used the therapy pool did a doctor recommend? 25. What percentage of recommended by a doctor utilized the therapy pool? 26. Show and explain if the results are significant. 27. How strongly, if at all, are the variables associated with each other? Show in a table: 28. The comparison of the means between the number of Visits and the work status of members. Explain, and show, if the means are significantly different from each other. Run and interpret a analysis and create a single table that: 29. Uses the four Importance variables (General Fitness; Social Aspects; Physical Enjoyment; Specific Medical Concerns) showing the correlations and which are significant. 30. Replace the diagonal values with the respective means in the table. Run and interpret a linear analysis using Revenue as the dependent variable. The independent variables are the four Importance variables used above, and the variables Likely To Recommend and Age. 31. Show evidence if the model is or is not significant. 32. What is the coefficient of multiple determination for the model? How do you interpret it? 33. Which variables, if any, are significant? How do you know that they are significant? Interpret the effect each significant variable has on the dependent variable. 34. Are the results and your interpretation the same if the alpha is changed to .10? Recommendations 35.

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