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8. A sociologist focusing on popular culture and media believes that the average number of hours per week (hrs/week) spent using social media is greater for women than for men. Examining two independent simple random samples of 50 individuals each, the researcher calculates sample standard deviations of 2.3 hrs/week and 2.5 hrs/week for women and men respectively. If the average number of hrs/week spent using social media for the sample of women is 1 hour greater than that for the sample of men, what conclusion can be made from testing the null hypothesis that the time spent using social media is the same for women and men against the alternative that it's higher for women? (a = 0.01) A conclusion is not possible without knowing the average number of hrs/week spent using social media in each sample. We can not reject the null hypothesis so we can conclude that the observed difference in average number of hrs/week spent using social media is significant at 1% significance level. We can not reject the null hypothesis so we can conclude that the observed difference in average number of hrs/week spent using social media is not significant at 1% significance level. We reject the null hypothesis so we can conclude that the observed difference in average number of hrs/week spent using social media is significant at 1% significance level. We reject the null hypothesis so we can conclude that the observed difference in average number of hrs/week spent using social media is not significant at 1% significance level.

8. A sociologist focusing on popular culture and media believes that the average number of hours per week (hrs/week) spent using social media is greater for women than for men. Examining two independent simple random samples of 50 individuals each, the researcher calculates sample standard deviations of 2.3 hrs/week and 2.5 hrs/week for women and men respectively. If the average number of hrs/week spent using social media for the sample of women is 1 hour greater than that for the sample of men, what conclusion can be made from testing the null hypothesis that the time spent using social media is the same for women and men against the alternative that it's higher for women? (a = 0.01) A conclusion is not possible without knowing the average number of hrs/week spent using social media in each sample. We can not reject the null hypothesis so we can conclude that the observed difference in average number of hrs/week spent using social media is significant at 1% significance level. We can not reject the null hypothesis so we can conclude that the observed difference in average number of hrs/week spent using social media is not significant at 1% significance level. We reject the null hypothesis so we can conclude that the observed difference in average number of hrs/week spent using social media is significant at 1% significance level. We reject the null hypothesis so we can conclude that the observed difference in average number of hrs/week spent using social media is not significant at 1% significance level.

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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8. A sociologist focusing on popular culture and media believes that the average number of hours per week (hrs/week) spent using social media is greater for women than for men. Examining two independent simple random samples of 50 individuals each, the researcher calculates sample standard deviations of 2.3 hrs/week and 2.5 hrs/week for women and men respectively. If the average number of hrs/week spent using social media for the sample of women is 1 hour greater than that for the sample of men, what conclusion can be made from testing the null hypothesis that the time spent using social media is the same for women and men against the alternative that it's higher for women? (a = 0.01) A conclusion is not possible without knowing the average number of hrs/week spent using social media in each sample. We can not reject the null hypothesis so we can conclude that the observed difference in average number of hrs/week spent using social media is significant at 1% significance level. We can not reject the null hypothesis so we can conclude that the observed difference in average number of hrs/week spent using social media is not significant at 1% significance level. We reject the null hypothesis so we can conclude that the observed difference in average number of hrs/week spent using social media is significant at 1% significance level. We reject the null hypothesis so we can conclude that the observed difference in average number of hrs/week spent using social media is not significant at 1% significance level.
Transcribed Image Text:8. A sociologist focusing on popular culture and media believes that the average number of hours per week (hrs/week) spent using social media is greater for women than for men. Examining two independent simple random samples of 50 individuals each, the researcher calculates sample standard deviations of 2.3 hrs/week and 2.5 hrs/week for women and men respectively. If the average number of hrs/week spent using social media for the sample of women is 1 hour greater than that for the sample of men, what conclusion can be made from testing the null hypothesis that the time spent using social media is the same for women and men against the alternative that it's higher for women? (a = 0.01) A conclusion is not possible without knowing the average number of hrs/week spent using social media in each sample. We can not reject the null hypothesis so we can conclude that the observed difference in average number of hrs/week spent using social media is significant at 1% significance level. We can not reject the null hypothesis so we can conclude that the observed difference in average number of hrs/week spent using social media is not significant at 1% significance level. We reject the null hypothesis so we can conclude that the observed difference in average number of hrs/week spent using social media is significant at 1% significance level. We reject the null hypothesis so we can conclude that the observed difference in average number of hrs/week spent using social media is not significant at 1% significance level.
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