P values are the probability that a sample will have an effect at least as extreme as the effect observed in your sample if the null hypothesis is correct.
The p-value indicates how extreme the data are. We compare the p-value with the alpha to determine whether the observed data are statistically significantly different from the null hypothesis:
If the p-value is less than or equal to the alpha (p< .05),
then we reject the null hypothesis, and we say the result is
statistically significant.
If the p-value is greater than alpha (p > .05), then we fail to
reject the null hypothesis, and we say that the result is
statistically nonsignificant (n.s.).
1. We are given that
P value = 0.06 and α = 0.07
Thus, we can see that P value α
Hence in this case we reject the null hypothesis.
2. Hera p value = α = 0.06
Here , p value and alpha (α) both are equal.
Hence , in this case we also reject the null hypothesis.
3. Here, p value = 0.06 and α = 0.01
Now,here we can see that p value > α
Thus , in this case we do not reject the null hypothesis.
(6 points) In each part, we have given the significance level and the P-value for a...
(1 point) In each part, we have given the significance level and the P-value for a hypothesis test. For each case determine if the null hypothesis should be rejected. Write "reject" or "do not reject" (without quotations). (a) ?-0.06, P 0.06 answer (b) ? 0.07, P 0.06 answer (c) ? 0.01, P-0.06 answer.
(1 point) In each part, we have given the significance level and the P-value for a hypothesis test. For each case determine if the null hypothesis should be rejected. Write "reject' or "do not reject' (without quotations). a)a 0.06, P 0.06 answer. (b) α 0.07,P-0.06 answer (c) α 0.01, P. 006 answer Note: You can earn partial credit on this problem. Preview My Answers Submit Answers You have attempted this problem 0 times. You have unlimited attempts remaining
The P-value for a hypothesis test is 0.079. For each of the following significance levels, decide whether the null hypothesis should be rejected. a. alphaequals0.05 b. alphaequals0.10 a. Determine whether the null hypothesis should be rejected for alphaequals0.05. A. Reject the null hypothesis because the P-value is equal to or less than the significance level. B. Do not reject the null hypothesis because the P-value is equal to or less than the significance level. C. Reject the null hypothesis because...
6 – Test Statistic LEARNING OBJECTIVE: Determine whether to reject a null hypothesis from a given p-value and significance level. BOOO > Select the correct statement. a.) Given a p-value of 0.01, and a significance level of 5%, you should reject the null hypothesis. b.) Given a p-value of 0.08, and a significance level of 2%, you should reject the null hypothesis. c.) Given a p-value of 0.06, and a significance level of 5%, you should reject the null hypothesis. d.) Given a p-value of...
Previous Page Next Page Page 6 of 14 Question 6 (1 point) The significance level and P-value of a hypothesis test are given. Decide whether the null hypothesis should be rejected. Q = 0.01, P-value = 0.02 OA) Reject the null hypothesis. B) Do not reject the null hypothesis. Previous Page Next Page Page 6 of 14
Suppose a hypothesis test is conducted using a significance or alpha level of 0.05, and the null hypothesis is rejected. This means that? A we would also reject the null hypothesis if the significance level had been 0.10 instead of 0.05. B the p-value was greater than 0.05. C we would also reject the null hypothesis if the significance level had been 0.01 instead of 0.05. D All answer options are correct.
p-value Approach: The p-value is the smallest significance level at which the null hypothesis is rejected. While using the normal distribution, suppose, z = Zobserved is the test statistic value for testing the hypothesis about a population mean. This test statistic value is usually negative for a left-tailed test and is usually positive for a right-tailed test. The p-value is obtained with the help of the Standard Normal Distribution Table (Table IV). 1. For a left-tailed test, p-value = P(z<...
A P-value of 0.12 is calculated on a hypothesis test with a significance level set at 0.01. Which of the following is the correct conclusion for the test? a. Claim the null hypothesis is true b. Fail to reject the null hypothesis c. Reject the null hypothesis d. Claim the alternative hypothesis is true Which of the following are not requirements for using the t-distribution for a hypothesis test concerning μ? (More than one answer may be correct.) a. Sample...
Which of the following is TRUE? a. The p-value should always be larger than the selected level of significance. b. If the p-value is smaller than the level of significance, then do not reject the alternate hypothesis. c. If we reject the null hypothesis, it is possible that p-value is larger than the selected level of significance. d. If the p-value is larger than the level of significance, then do not reject the null hypothesis.
A hypothesis test is performed at the α = 0.05 level of significance. The p-value is determined to be 0.03. Therefore, we know that we would _______________. either reject or fail to reject the null hypothesis, depending on the value of the test statistic. reject the null hypothesis know that a 99% confidence interval would contain the value specified in the null hypothesis. fail to reject the null hypothesis