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Go to Exercise #6 on Class Handout #5:

Go to Exercise #6 on Class Handout #5:. 6.

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Go to Exercise #6 on Class Handout #5:

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  1. Go to Exercise #6 on Class Handout #5:

  2. 6. The SPSS data file football contains the distances traveled by the each of two identical footballs, one air-filled and one helium-filled, when kicked 39 times by a novice punter, as described in Exercise #5 of Class Handout #4; the differences between pairs of measurements in this data were treated as a random sample from a normal distribution to perform the statistical analysis in the exercise. Use this data in SPSS to do the following: (a) With this data and the appropriate guidelines in the document titled Using SPSS Version 19.0, use SPSS to create a new variable named air_minus_helium which is equal to the variable air_distance minus the variable helium_distance, and to obtain statistics and create graphs in order to check for normality and skewness in the new variable air_minus_helium.

  3. (b) For the new variable air_minus_helium, compare the skewnessand kurtosis coefficients to their respective standard errors (from the SPSS output in part (a)), look at the results of the Shapiro-Wilk test, and complete the corresponding statement about whether or not non-normality needs to be a concern with regard to statistical analysis.

  4. 6. - continued For the variable air distance minus helium distance in the data, the skewness coefficient (______ with s.e. = ______) and the kurtosis coefficient (______ with s.e. = ______) are each less than one standard error away from zero; also, although there are some outliers in the distribution, p= ______ is not less than 0.001 in the Shapiro-Wilk test. Consequently, non-normality is _____________________________________________ _____________________________________________ _____________________________________________ 0.123 0.378 0.404 0.741 0.358 not a concern with regard to statistical analysis involving the variable air distance minus helium distance.

  5. (c) Based on the conclusion in part (b), what can we say about the statistical analyses in Exercise #5 of Class Handout #4, based on the assumption of random selection from a normal distribution? We can say that the assumption of selection from a normal distribution can be considered satisfied for the statistical analyses in Exercise #5 of Class Handout #4.

  6. 7. This exercise concerns the “DATA CLEANING AND CATEGORICAL CODING” section of Chapter 2. The SPSS data file for this exercise is Mental Health.sav. (a) Read the beginning of the section, and the example on pages 22 and 23. Use the instructions on page 23 in the subsection “Using SPSS to Run Frequencies and Variable’s Range” to obtain the output displayed in Tables 2.1.A to 2.1.E. Compare the syntax file commands generated by the output with those shown on page 24 of the textbook. (b) Read the remainder of the section, and as indicated near the end of the section, use the instructions on page 23 with the variables GENDER and HOME to obtain the output displayed in Tables 2.2.A and 2.2.B. Note that there are errors in the textbook on page 355 in the description of the scales for the Mental Health.sav SPSS data file.

  7. 8. This exercise concerns the “MISSING DATA” section of the textbook. The SPSS data file for this exercise is Mental Health.sav. (a) Read the subsections up to the end of the subsection “Replacement with a predicted value”. (b) Use the Analyze> Correlate> Bivariate options in SPSS to obtain the output displayed in Table 2.3.A. Note that not all of the correlations match what is displayed in Table 2.3.A. The actual SPSS output is as follows:

  8. 8. - continued (c) Use the Analyze> Correlate> Bivariate options again as in part (b) with one change: click on the Options button to change from the Exclude cases pairwise option to the Exclude cases listwise option to obtain the output displayed in Table 2.3.B. Note that not all of the correlations match what is displayed in Table 2.3.B. The actual SPSS output is as follows:

  9. (d) While reading the example beginning on page 33 in the section, do the following: Use the instructions on page 33 in the subsection “Using SPSS to inspect missing values” to obtain the output displayed in Table 2.4. Compare the syntax file commands generated by the output with those shown on page 34 of the textbook. YOU CAN STOP READING AT THE END OF THE PARAGRAPH AT THE TOP OF PAGE 35. Next class, we will do Exercise #6 on Class Handout #5: 9. Open the SPSS data file Job Satisfaction. In the “NORMALITY AND DATA TRANSFORMATION” section of the textbook, read the subsections “Normality” and “Data Transformation”. Then, follow the instructions in the subsection “Practical Example” beginning on page 60 to obtain Tables 2.10, 2.11, and 2.12, and Figures 2.8, 2.9, 2.10. Compare the syntax file commands generated by the output with those shown in the textbook.

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