Asked by Michael Bergamo on May 26, 2024
Verified
Typically,the null hypothesis in a test of significance is a statement of "no difference" in the true means.
Null Hypothesis
A statement that asserts that there is no effect or no difference, and it serves as the starting point for statistical testing.
- Gain knowledge of the underlying principles involved in hypothesis testing, including the roles of null and alternative hypotheses.
Verified Answer
DM
Darlene MontaniMay 27, 2024
Final Answer :
True
Explanation :
The null hypothesis in a test of significance usually assumes that there is no significant difference between the true value or means being compared.
Learning Objectives
- Gain knowledge of the underlying principles involved in hypothesis testing, including the roles of null and alternative hypotheses.