A recent study focused on the number of times men and women send a Twitter message in a day. The information is summarized here. Sample Size Sample Mean Population Standard Deviation Men 25 23 5 Women 30 28 10 At the 0.01 significance level, is there a difference in the mean number of times men and women send a Twitter message in a day? Based on the p-value, what is your conclusion? Reject the null hypothesis and conclude the means are the same. Fail to reject the null hypothesis and conclude the means are different. Fail to reject the null hypothesis. Reject the null hypothesis and conclude the means are different.
A recent study focused on the number of times men and women send a Twitter message in a day. The information is summarized here. Sample Size Sample Mean Population Standard Deviation Men 25 23 5 Women 30 28 10 At the 0.01 significance level, is there a difference in the mean number of times men and women send a Twitter message in a day? Based on the p-value, what is your conclusion? Reject the null hypothesis and conclude the means are the same. Fail to reject the null hypothesis and conclude the means are different. Fail to reject the null hypothesis. Reject the null hypothesis and conclude the means are different.
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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A recent study focused on the number of times men and women send a Twitter message in a day. The information is summarized here.
Sample |
Population Standard Deviation | ||
Men | 25 | 23 | 5 |
Women | 30 | 28 | 10 |
At the 0.01 significance level, is there a difference in the mean number of times men and women send a Twitter message in a day? Based on the p-value, what is your conclusion?
Reject the null hypothesis and conclude the means are the same.
Fail to reject the null hypothesis and conclude the means are different.
Fail to reject the null hypothesis.
Reject the null hypothesis and conclude the means are different.
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