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
Question
Solution 1
True
Explanation: In hypothesis testing, a one-sided test (also known as a one-tailed test) evaluates the probability of observing a test statistic as extreme as, or more extreme than, the observed value in one direction (either greater than or less than a certain value). A two-sided test (or two-t 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.
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Similar Questions
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
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 criterion for hypothesis testing is to reject the null hypothesis if:Group of answer choices
State the null and alternate hypothesis State Critical Value What is the Test Statistic Value State the p-value What is your decision Write a conclusion