A/B TestingWhich of the following statements is true?You can reject the null hypothesis while testing at a 20% significance level but not at 10%.You can reject the null hypothesis while testing at a 10% significance level but not at 5%.You can reject the null hypothesis while testing at a 5% significance level but not at 1%.None of the above
Question
A/B TestingWhich of the following statements is true?You can reject the null hypothesis while testing at a 20% significance level but not at 10%.You can reject the null hypothesis while testing at a 10% significance level but not at 5%.You can reject the null hypothesis while testing at a 5% significance level but not at 1%.None of the above
Solution
All of the statements can be true depending on the p-value of the test.
- If the p-value is between 10% and 20%, you can reject the null hypothesis at a 20% significance level but not at 10%.
- If the p-value is between 5% and 10%, you can reject the null hypothesis at a 10% significance level but not at 5%.
- If the p-value is between 1% and 5%, you can reject the null hypothesis at a 5% significance level but not at 1%.
So, the correct answer is not "None of the above". Instead, the correct answer depends on the specific p-value of the test.
Similar Questions
If a hypothesis is rejected at a 5% level of significance, it ___.Group of answer choicesmay be rejected or not rejected at the 1% levelwill always be rejected at the 1% levelwill always be accepted at the 1% levelwill never be tested at the 1% level
The statement “If there is sufficient evidence to reject a null hypothesis at the 10% significance level, then there is sufficient evidence to reject it at the 5% significance level” is: Please select the best answer of those provided below.
If we reject a null hypothesis at the 0.05 level of significance, then we must also reject it at the 0.10 level.Group of answer choicesTrueFalse
Everything else remaining the same, is it easier to reject a null hypothesis with a 5% or 1% level of significance?
Which of the following statements is true regarding the significance level in hypothesis testing?a.It is the probability of a Type 1 errorb.It is the probability of a Type 2 errorc.It is the probability of correctly accepting the null hypothesisd.It is the probability of correctly rejecting the null hypothesisClear my choice
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