If the tabulated value in hypothesis testing is more than the calculated value, than the null hypothesis is accepted. Otherwise it is rejected. … The second approach of hypothesis testing is the probability value approach. The second step of this approach is to determine the test size.
Secondly, how can a null hypothesis be rejected?
If the P-value is less than (or equal to) , then the null hypothesis is rejected in favor of the alternative hypothesis. And, if the P-value is greater than , then the null hypothesis is not rejected. … If the P-value is less than (or equal to) , reject the null hypothesis in favor of the alternative hypothesis.
- When your p-value is less than or equal to your significance level, you reject the null hypothesis. The data favors the alternative hypothesis. …
- When your p-value is greater than your significance level, you fail to reject the null hypothesis.
Considering this, what is the rejection rule in hypothesis test?
The decision rule is: Reject H0 if Z > 1.645. The decision rule is: Reject H0 if Z < 1.645. The decision rule is: Reject H0 if Z < -1.960 or if Z > 1.960. The complete table of critical values of Z for upper, lower and two-tailed tests can be found in the table of Z values to the right in “Other Resources.”
When null hypothesis is not rejected we conclude that?
If the null hypothesis is not rejected, we conclude that H0 is true. You just studied 16 terms!
When the null hypothesis is rejected Which of the following is true?
If there is less than a 5% chance of a result as extreme as the sample result if the null hypothesis were true, then the null hypothesis is rejected. When this happens, the result is said to be statistically significant .
When we fail to reject the null hypothesis which of the following statements is true?
14 Answers. Failing to reject a null hypothesis is evidence that the null hypothesis is true, but it might not be particularly good evidence, and it certainly doesn’t prove the null hypothesis.