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Statistics Age of the student N Valid 92 Missing 0 Mean 36.98 Median 34.00 Mode 25 Std. Deviation 14.174 Skewness 651 Std. Error of Skewness

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Statistics Age of the student N Valid 92 Missing 0 Mean 36.98 Median 34.00 Mode 25 Std. Deviation 14.174 Skewness 651 Std. Error of Skewness 251 Range 51 Minimum 18 Maximum 69 Task 2: For the ninety - two (92) patients, use the Frequencies option to produce output detailing the following measures: . Minimum age. . Maximum age. . Mean age . Modal age. Median age. . . Standard deviation in the ages. Range of ages. . . Skewness in the ages. Briefly describe the distribution of the ages of the participants as suggested by these summative measures. Which measure of central tendency best represents the distribution. Discuss.Task 4: Simple Boxplot of Age of the student by Clinic Choice 60 40 Age of the student 20 Clinic Size Professional Treatment Accessibility Clinic Choice Use the Graphs option to produce box plots for the variable Age after classifying by Choice. Comment on the shape of each distribution. Support your comments by obtaining output detailing the skewness. OneDrive XChi-Square Tests Asymptotic Significance Value df (2-sided) Pearson Chi-Square 3.630 458 Likelihood Ratio 3.729 444 N of Valid Cases 92 a. 1 cells (11.1%) have expected count less than 5. The minimum expected count is 3.33. Task 6: For the data variables Age_Groups and Choice, use the Crosstabs option to: a) produce a cross-tabulation summarizing the data; b) determine whether the age_groups are associated with clinic choice by using an appropriate test at a 5% level of significance. Ensure that the hypotheses for the test as well as p value are stated. Discuss the validity of the test conducted

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