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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

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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

Group Women* Men Sample Mean 134.222 122.6 Sample Standard Deviation 22.379 32.347 Sample Size 18 27
Transcribed Image Text:Group Women* Men Sample Mean 134.222 122.6 Sample Standard Deviation 22.379 32.347 Sample Size 18 27
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