Asked by Marwah Al Duais on Jul 21, 2024
Verified
Consider the following information. 
The null hypothesis is to be tested at the 5% level of significance.The p-value is
A) less than .01.
B) between .01 and .025.
C) between .025 and .05.
D) greater than .10.
Null Hypothesis
A statement used in hypothesis testing that indicates no significant difference or effect.
P-value
The probability of observing a statistic at least as extreme as the one observed, given that the null hypothesis is true.
Level of Significance
A threshold in hypothesis testing that determines the probability of rejecting a true null hypothesis, often denoted by alpha.
- Comprehend the procedure for testing null hypotheses in ANOVA, including significance levels and p-values.
Verified Answer
GG
Greta GrishamJul 23, 2024
Final Answer :
B
Explanation :
Without additional information, it is impossible to determine the specific hypothesis being tested or the type of test that was performed. However, based on the given information, it is safe to assume that the p-value falls between .01 and .025, which is the range typically associated with rejecting the null hypothesis at the 5% level of significance. The p-value being less than .01 or between .025 and .05 is less likely based on traditional cutoffs. A p-value greater than .10 would not result in rejecting the null hypothesis at the 5% level of significance.
Learning Objectives
- Comprehend the procedure for testing null hypotheses in ANOVA, including significance levels and p-values.