What is the most appropriate conclusion if you determine that the critical value was 2 (C.V. = 2) and the test statistic was 1.5 (T.S. = 1.5) for the null hypothesis H_0: μ = 515?
A) BUMSD, reject H_0.
B) BUMSD, fail to reject H_0.
C) We lack enough information to make a conclusion.
D) We made a Type I or Type II error
What is the most appropriate conclusion if you determine that the critical value was 2 (C.V....
Find the critical value for the indicated hypothesis test, then use this value and the provided information to make a conclusion about the null hypothesis (i.e., reject or fail to reject the null hypothesis). 1.The test statistic in a left-tailed test is z = −2.05; significance level α = 8% 2. Test at the significance level α = 5% the hypothesis H0: p ≤ 0.04, given that the test statistic is z = 1.82. 3. Test at the significance level...
The Student's t distribution table gives critical values for the Student's t distribution. Use an appropriate d.f. as the row header. For a right-tailed test, the column header is the value of α found in the one-tail area row. For a left-tailed test, the column header is the value of α found in the one-tail area row, but you must change the sign of the critical value t to −t. For a two-tailed test, the column header is the value...
In a right tailed hypothesis testing, critical value is 1.5 and test statistic was found to be 1.8. Then Select one: a. we will NOT reject the null hypothesis. b. we will reject the alternative hypothesis. c. we will reject the null hypothesis. d. we will need more information to make the decision.
Which of the following statements most adequately summarizes the conclusion statement resulting from a p-value of 0.03? a. We fail to reject the null hypothesis at the alpha level of 0.1 b. We fail to reject the null hypothesis at the alpha level of 0.05 c. We reject the null hypothesis at the alpha level of 0.01 d. We fail to reject the null hypothesis at the alpha level of 0.05
We have created a 95% confidence interval for µ with the result (10, 16). What conclusion will we make if we test H0: µ = 16 versus HA: µ ≠ 16 at α = 0.05? Reject the null hypothesis. Accept the null hypothesis. Fail to reject the null hypothesis. Reject the alternative hypothesis. No decision can be made from the information given.
A hypothesis test is used to test the hypotheses H0: μ = 10.5 versus HA: μ > 10.5 where μ = the mean weight of a one-year old tabby cat. Based on a random sample of 21 cats, a p-value of 0.0234 is found. a) Using α = 0.05, what is the conclusion for this test, reject or fail to reject the null hypothesis? b) Based on your answer to part b, what type of error did you possibly make,...
a Which of the following statements is most appropriate for describing the Null Hypothesis? i. The experimental treatment does not affect the outcome of the experiment. ii. The experimental treatment does affect the outcome. iii. The Null Hypothesis is the research hypothesis. iv. None of the above statements are correct. _____ b. In a Hypothesis Test, a Type 2 Error (a false negative) occurs when: i. Reject a false null hypothesis ...
1.) In a hypothesis test, the observed value was found to be -2.10 whereas the critical value was 2.39. Based on this information we: a.) Fail to reject the null hypothesis b.) Reject the null hypothesis 2.) In a hypothesis test, the observed value was found to be -4.10 whereas the critical value was 2.39. Based on this information we: a.) Fail to reject the null hypothesis b.) Reject the null hypothesis Please explain why.
I spefically need to see how
the test statistic and critical value is calculated.
Test the claim that the proportion of men who own cats is significantly different than 80% at the 0.02 significance level. The null and alternative hypothesis would be: The test is: left-tailed right-tailed two-tailed Based on a sample of 55 people, 78% owned cats The test statistic is: (to 2 decimals) The positive critical value is: (to 2 decimals) Based on this we: Reject the null...
QUESTION 21 A p value is the probability of obtaining the value of the test statistic or more extreme, if the null hypothesis is true. a. True b. False QUESTION 18 Type I error occurs when a. you reject a false null hypothesis b. you reject a true null hypothesis c. you fail to reject a false null hypothesis d. you fail to reject a true null hypothesis QUESTION 19 Type II error occurs when a. you reject a false...