The Survey of Study Habits and Attitudes (SSHA) is a psychological test designed to measure various academic behaviors (motivation, study habits, attitudes, etc…) of college students. Scores on the SSHA range from 0 to 200. The data for random samples 18 women (*the outlier from the original data set was removed) and 27 men yielded the following summary statistics. Is there a difference in SSHA performance based upon gender? Conduct the appropriate hypothesis test in including stating the relevant hypothesis, test statistic, p-value, and conclusion. Then, construct and interpret a 90% confidence interval for the mean difference

The Survey of Study Habits and Attitudes (SSHA) is a psychological test designed to measure various academic behaviors (motivation, study habits, attitudes, etc…) of college students. Scores on the SSHA range from 0 to 200. The data for random samples 18 women (*the outlier from the original data set was removed) and 27 men yielded the following summary statistics. Is there a difference in SSHA performance based upon gender? Conduct the appropriate hypothesis test in including stating the relevant hypothesis, test statistic, p-value, and conclusion. Then, construct and interpret a 90% confidence interval for the mean difference

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section: Chapter Questions

Problem 11MCQ

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Question

The Survey of Study Habits and Attitudes (SSHA) is a psychological test designed to measure various academic behaviors (motivation, study habits, attitudes, etc…) of college students. Scores on the SSHA range from 0 to 200. The data for random samples 18 women (*the outlier from the original data set was removed) and 27 men yielded the following summary statistics.
Is there a difference in SSHA performance based upon gender? Conduct the appropriate hypothesis test in including stating the relevant hypothesis, test statistic, p-value, and conclusion.

Then, construct and interpret a 90% confidence interval for the mean difference