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Questions and Answers
What is the significance level in a hypothesis test?
What is the significance level in a hypothesis test?
The significance level is the probability of rejecting the null hypothesis when it is true.
What does the p-value represent in a hypothesis test?
What does the p-value represent in a hypothesis test?
The p-value represents the probability of obtaining the observed result of a hypothesis test, assuming that the null hypothesis is true.
When the p-value is less than or equal to the significance level, what decision is made?
When the p-value is less than or equal to the significance level, what decision is made?
When the p-value is less than or equal to the significance level, the null hypothesis is rejected.
Study Notes
- The significance level is the probability of rejecting the null hypothesis when it is true.
- The p-value is the probability of obtaining the observed result of a hypothesis test, assuming that the null hypothesis is true.
- If the p-value is less than or equal to the significance level, then we reject the null hypothesis.
- If the p-value is greater than the significance level, then we fail to reject the null hypothesis.
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Description
Test your knowledge of hypothesis testing with this quiz covering significance levels, p-values, and the decision making process in hypothesis testing.
