Test all at a 5% significance level.
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1. For each below type in A, B, or C
A = reject the null hypothesis
B = fail to reject the null hypothesis
C = an error was made/ does not make sense.
Test all at a 5% significance level.
- p-value = 0.4
- p-value = 0.04
- p-value = 4
- p-value = 4*10-12
- p-value = 4*102
- p-value = 0.01
- p-value = -0.03
- p-value = 0.06
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- What is meant by the sample space of an experiment?Suppose that we are testing a null hypothesis H0 about a populationproportion, using p-value techniques. If we are using a single set of data, which of the following are notpossible? (Select all that apply. You do not need to explain.)(a) We reject H0 at the 0.10 significance level, and reject H0 at the 0.05 significance level.(b) We reject H0 at the 0.10 significance level, and fail to reject H0 at the 0.05 significance level.(c) We fail to reject H0 at the 0.10 significance level, and reject H0 at the 0.05 significance level.(d) We fail to reject H0 at the 0.10 significance level, and fail to reject H0 at the 0.05 significance levelJacqueline, a medical researcher, would like to make the claim that a newly developed prescription medication for headaches gives patients relief in 61 minutes or less, on average. Jacqueline samples 12 users of the medication and obtains a sample mean of 55 minutes. At the 1% significance level, should Jacqueline reject or fail to reject the null hypothesis given the sample data below? H0:μ=61 minutes; Ha:μ<61 minutes α=0.01 (significance level) test statistic=−1.99 Answer for the above question: Do not reject the null hypothesis because the p-value 0.0233 is greater than the significance level α=0.01. Jacqueline is making the claim that the average time it takes the headache medication to work is less than 61 minutes. Therefore, this is a left-tailed test because of “less than". Since this is a left-tailed test, α and p-value will be areas on the left side of the distribution. In making the decision to reject or not reject H0, recall the criterion for comparing the…
- If the p-value of a hypothesis test is equal to 0.035, then the null hypothesis will be rejected for which cases? SELECT ALL THAT APPLY. a. for a significance level of 0.01 b. for a significance level of 0.10 c. for a significance level of 0.05 d. for a significance level of 0.02If a researcher obtained a P-value of 0.01 for a hypothesis test that has a significance level of 0.05, what conclusion should the researcher make? 1 The null hypothesis should not be rejected. 2 The alternative hypothesis should not be rejected. 3 The null hypothesis should be rejected. 4 The alternative hypothesis should be rejected. 5 The null hypothesis must be false.In follow up to my last test, I believe there are more females that use iPhones then males. In a study of ten males and ten females, see the data below: 5 out of 10 males surveyed use an iPhone. 7 out of 10 females surveyed use an iPhone. What is the null hypothesis and proposed hypothesis? Should we reject the null hypothesis at a .01 significance level and why? Is the proposed hypothesis acceptable based on evidence presented?
