The p-value for the hypothesis test is 0.0062 , which means the observed difference [ Select ] statistically significant at the 1% level.
Question
Solution 1
The p-value for the hypothesis test is 0.0062, which means the observed difference is statistically significant at the 1% level. This is because the p-value is less than 0.01 (1%), indicating strong evidence against the null hypothesis. Therefore, we reject the null hypothesis and conclude that the Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study prob
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solv
Similar Questions
The p-value for the hypothesis test is 0.0062 , which means the observed difference [ Select ] statistically significant at the 1% level.
he p-value for the hypothesis test is 0.0139 , which means the observed difference is/ is noy statistically significant at the 5% level
The p-value of a one-sided hypothesis test is 0.056. At the 10% significance level, what can we conclude if it was a two-sided hypothesis test instead?
A p-value of a one-sided hypothesis test is 0.035. At the 5% significance level, what would be the correct conclusion if the hypothesis was two-sided?
The p-value for a one-sided test is half of the p-value for a two-sided test of the same null hypothesis based on the same data.Answer instructionsTrueFalse