The p-value is NOT equal to α, the level of significance of the hypothesis test.
True or false?
False pvalue can be between 0 ana 1 and sometimes is also equal to level of significance such as 0.01 ,0.05 and 0.10. Higher p value means weak evidence against null hypothesis and when p value is less than 0.5 than we have strong evidence against null hypothesis. Moreover when p value is equal to level of significance than we reject the null hypothesis.
The p-value is NOT equal to α, the level of significance of the hypothesis test. True...
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
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...
Briefly discuss the difference between the "Alpha level" (α) and the "p-value". True or False: Reject the null hypothesis when α = 0.042 and p-value = 0.03 True or False: Retain the null hypothesis when α = 0.02 and p-value = 0.010 True or False: Reject the null hypothesis when α = 0.01 and p-value = 0.005 True or False: Retain the null hypothesis when α = 0.001 and p-value = 0.02
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...
Which of the following is NOT true about the level of significance of a hypothesis test? The larger the significance, the higher the risk that we make an error The level of significance is the maximum risk we are willing to accept in making an error. The significance level is also called the α level The significance level is determined by your sample size
Assume that a hypothesis test will be conducted using significance level α = .01 and alternative hypothesis Ha: μ : ≠ 19.3. Furthermore, we will use the following sample data: n = 12, x-bar = 18.8, and s = 2.1. Find the p-value for the test. Group of answer choices 0.8540 0.3810 0.5730 0.4270
When the P-value for a test of hypothesis is greater than the level of significance, the proper conclusion Select one: a. is to reject H_0 and conclude that H_1 is true b. is to reject H_0 and say there is not enough evidence to conclude that H_1 is true c. is to fail to reject H_0 and conclude that H_1 is true d. is to fail to reject H_0 and say there is not enough evidence to conclude H_1 e....
3) Consider The P-value for a hypothesis test is P 0.0237 and the level of significance is α:-0.05. Determine the following: DDo you reject or fail to reject Ho i) According to either reject or fail to reject Ho interpreter your decision of the following claim Ho: μ Ha: μ > 8.0 a. 80 (Calm) Hai μ< 52(Claim) b. Ho: Hu 142
If a null hypothesis is rejected at the 0.10 significance level but not at the 0.05 significance level, then the p-value of the test is between 0.05 and 0.10. True or false?
The p-value for a hypothesis test turns out to be 0.0332. At a significance level of αα = 0.04, what is the proper decision? Reject H0 or Fail to reject H0