The marketers of Ginko biloba nutritional supplements claim that the active ingredient in their product can enhance memory. To test this claim, a researcher gives a sample of n = 30 subjects a standard memory test, has them take the Ginko supplements for 3 months, and then re-take the memory test to see if their scores increased. The data for this experiment are given below. The Data ID# Pre-test Post-test ID# Pre-test Post-test ID# Pre-test Post-test 64 73 76 11 59 68 21 64 12 54 53 22 44 46 55 58 AWN- 73 73 13 60 66 23 59 59 24 67 58 60 14 67 72 67 60 15 62 56 25 52 54 54 16 61 67 26 63 74 56 63 17 27 64 71 60 55 66 74 77. 18 56 59 28 56 56 76 84 19 77 83 29 76 81 10 62 75 20 69 71 30 69 68 16. Use excel or jamovi, to perform a two-sample t-test on the Pre-test vs Post-test data from the study of the effectiveness of Ginko supplements to enhance memory. Produce separate graphs and summary statistics for the Pre-test and Post-test scores to determine if these data meet the Normality assumption for two-sample t-tests. Use Minitab to perform a test of equal variances. Copy / Paste the graphs and print-outs into a single word processor page. At the bottom of the page type your assessment of whether or not the data indicate the Normality and equal variances assumptions for the two-sample t-test are fulfilled Based on your assessment above, perform the most appropriate two-sample t-test (i.e., Separate or Pooled variance, One- or Two-tailed test). Copy / Paste the t-test output on a separate word processor page. Type answers to the following questions on the word processor page with the t-test print-out. a. Explain the meaning of the p-value from the test of significance in the context of this study, using terms understandable to someone who has not studied statistics. b. Based on this analysis, state your conclusion with regard to the original question. C. Compute the 95% confidence interval for (HPost - Here ), and explain the interpretation of this confidence interval in the context of this study, using terms understandable to someone who has not studied statistics