HLT 362V Module 2 - Exercise 26.docx - Nam e Date Jasmin...

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Nam e Jasmin Rodriguez Course HLT-362V Date 8/20/2018 Section Module 2 – Exercise 26 1. Plot the frequency distribution for “Age at Enrollment” by hand or by using SPSS. 2. How would you characterize the skewness of the distribution in Question 1—positively skewed, negatively skewed, or approximately normal? Provide a rationale for your answer. Descriptives Statistic Std. Error Age Mean 53.80 1.481
3. Compare the original skewness statistic and Shapiro-Wilk statistic with those of the smaller dataset (n = 15) for the variable “Age at First Arrest.” How did the statistics change, and how would you explain these differences? [DataSet2] Statistics Age Age at Arresst Education NumberTimesFir ed N Valid 15 15 15 15 Missing 0 0 0 0 Skewness -.622 .738 .658 .955 Std. Error of Skewness .580 .580 .580 .580 Kurtosis -.600 .255 -.936 -.717 Std. Error of Kurtosis 1.121 1.121 1.121 1.121 [DataSet1] C:\Users\jrodriguez188\Documents\exercise 26 - data set 1.sav Descriptives Statistic Std. Error
Age Mean 53.80 1.481 95% Confidence Interval for Mean Lower Bound 50.70 Upper Bound 56.90 5% Trimmed Mean 54.00 Median 56.00 Variance 43.853 Std. Deviation 6.622 Minimum 41 Maximum 63 Range 22 Interquartile Range 11 Skewness -.351 .512 Kurtosis -.883 .992 Age at Arresst Mean 26.20 2.599 95% Confidence Interval for Mean Lower Bound 20.76 Upper Bound 31.64 5% Trimmed Mean 25.17 Median 23.00 Variance 135.116 Std. Deviation 11.624 Minimum 12 Maximum 59 Range 47 Interquartile Range 12 Skewness 1.402 .512 Kurtosis 2.043 .992 Education Mean 12.45 .211 95% Confidence Interval for Mean Lower Bound 12.01 Upper Bound 12.89 5% Trimmed Mean 12.44 Median 12.00 Variance .892 Std. Deviation .945 Minimum 11 Maximum 14 Range 3 Interquartile Range 1 Skewness .576 .512
Kurtosis -.575 .992 NumberTimesFired Mean 1.50 .407 95% Confidence Interval for Mean Lower Bound .65 Upper Bound 2.35 5% Trimmed Mean 1.33 Median 1.00 Variance 3.316 Std. Deviation 1.821 Minimum 0 Maximum 6 Range 6 Interquartile Range 3 Skewness 1.133 .512 Kurtosis .576 .992 Tests of Normality Kolmogorov-Smirnov a Shapiro-Wilk Statistic df Sig. Statistic df Sig. Age .180 20 .088 .950 20 .373 Age at Arresst .175 20 .110 .879 20 .017 Education .333 20 .000 .815 20 .001 NumberTimesFired .245 20 .003 .808 20 .001 a. Lilliefors Significance Correction The statistics changed because the amount of data was smaller and less skewed data.

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