Asked by Dongmei Zhang on Jun 20, 2024
Verified
In a test of statistical hypotheses,what does the P-value tell us?
A) If the null hypothesis is true
B) If the alternative hypothesis is true
C) The largest level of significance at which the null hypothesis can be rejected
D) The smallest level of significance at which the null hypothesis can be rejected
P-value
It quantifies the likelihood of observing the collected data if the null hypothesis were true, used in hypothesis testing as a critical component.
Null Hypothesis
A hypothesis that assumes no significant difference or effect, serving as the default assumption in statistical hypothesis testing.
Alternative Hypothesis
A hypothesis that contradicts the null hypothesis; it suggests there is an actual effect or difference.
- Decode the implications of P-values in the realm of hypothesis examination.
Verified Answer
MM
Myemeledi MotloungJun 24, 2024
Final Answer :
D
Explanation :
The P-value is the smallest level of significance at which the null hypothesis can be rejected. It tells us the strength of evidence against the null hypothesis, with smaller P-values indicating stronger evidence.
Learning Objectives
- Decode the implications of P-values in the realm of hypothesis examination.