Explain how interpreting the confidence interval from your hypothesis test could help you make a better decision than just interpreting the p-value. Write two or three sentences.

In a hypothesis test, the p-value is 0.009. The stated significance level is 0.05. What is the decision regarding the null hypothesis? a. More information is needed to make a decision. b. Not reject the null hypothesis c. Reject the null hypothesis. d. Reject the alternative hypothesis.

What is the p-value in hypothesis testing?*1 pointa. The probability of making a Type I errorb. The probability of rejecting the null hypothesis when it's truec. The probability of failing to reject the null hypothesis when it's falsed. The level of significance for the test

In the p-value approach to hypothesis testing, how is the p-value used?a.It is compared to the level of significance to determine the rejection region.b.It is used to calculate the effect size of the observed data.c.It represents the probability of committing a Type 1 error.d.It determines the power of the statistical test.

The p-value in hypothesis testing represents which of the following: Group of answer choicesThe probability of failing to reject the null hypothesis, given the observed resultsThe probability that the null hypothesis is true, given the observed resultsThe probability that the observed results are statistically significant, given that the null hypothesis is trueThe probability of observing results as extreme or more extreme than currently observed, given that the null hypothesis is true

For a strong Null hypothesis, what should be the value of P-value?Select an option Clear ResponseP-value must be greater than 0.05P-value must be lesser than 0.05P-value must be equal to 0.05P-value cannot determine the null hypothesis