Question 376965: After some complaints in the large company, executives wanted to compare the average salaries of all their male and female employees. The salaries of a random sample of 50 male and 50 female employees were recorded. The appropriate hypothesis test yielded a p-value of 0.12. Based on the p-value with a significance level of 10%, can the executives conclude that the average salaries of their male and females employees are different?
A. Yes, they conclude that. Since the p-value is greater than the significance level, the executives can reject the alternative hypothesis that the average salaries of their male and female employees are the same.
B. Yes, they conclude that. Since the p-value is greater than the significance level, the executives can reject the alternative hypothesis that the average salaries of their male and female employees are different.
C. No, they can't conclude that. Since the p-value is greater than the significance level, the executives can't reject the null hypothesis that the average salaries of their male and female employees are the same.
D. No, they can't conclude that. Since the p-value is greater than the significance level, the executives can't reject the null hypothesis that the average salaries of their male and female employees are different.
Answer by SadieKhan(31)   (Show Source):
You can put this solution on YOUR website! Rule of thumb
If p-value is greater than the alpha do not reject the null hypothesis
As p value is 0.12>0.10 hence
Answer is
C. No, they can't conclude that. Since the p-value is greater than the significance level, the executives can't reject the null hypothesis that the average salaries of their male and female employees are the same.
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