H25 Conclusion: 1As the focus of the article is on the myth of the \"Freshman 15

Question

H25 Conclusion: 1As the focus of the article is on the myth of the "Freshman 15", consider the data values as (April September) to represent the gains (or losses) in weight over freshman year. Let ud denote the mean of the differences (Apr. Sept.), test your paper's hypothesis (at significance level of 0.05) that students are gaining an average of less than 15lbs over freshman year, thereby discredited the long held belief. Is the data from these two s or de ent? Weight April (after) September before Table of results of t-test from Data Analysis -8.8 -8.8 6.6 4.4 -4.4 -6.6 2.2 4.4 2.2 d-bar (mean of differences) 2.6 149.9 141.1 123.5 t-Test: Paired Two Sample for Means 132.3 116.3 149.9 123.5 103.6 121.3 149.9 10 (s.d. of differences) 8.572167105 Varloble I Vanable 2 143.4306179 146.0300716 619.0029493 618.9364437 127.9 110.2 123.5 154.3 134.5 116.8 125.7 127.9 108.0 12 Null Hypothesis: Mean Variance Observations Pearson Correlation Hypothesized Mean Difference hesis: d

Explanation / Answer

Data from these two samples are dependent. Only then, we could conduct a paired sample t-test.

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