How do you accept or reject the null hypothesis t test?
If the absolute value of the t-value is greater than the critical value, you reject the null hypothesis. If the absolute value of the t-value is less than the critical value, you fail to reject the null hypothesis.
What is the criterion for rejecting the null hypothesis using the p-value approach choose the correct answer below?
The P-value (or probability value) is the probability of getting a value of the test statistic that is at least as extreme as the one representing the sample data, assuming that the null hypothesis is true. The null hypothesis is rejected if the P-value is very small, such as 0.05 or less.
Can you reject the alternative hypothesis?
As for the alternative hypothesis, it may be appropriate to say “the alternative hypothesis was not supported” but you should avoid saying “the alternative hypothesis was rejected.” Once again, this is because your study is designed to reject the null hypothesis, not to reject the alternative hypothesis.
What does ‘fail to reject’ means in a hypothesis test?
In a similar way, a failure to reject the null hypothesis in a significance test does not mean that the null hypothesis is true. It only means that the scientist was unable to provide enough evidence for the alternative hypothesis. As a result, the scientists would have reason to reject the null hypothesis.
When to reject the null?
When you reject the null hypothesis, it means that you have enough evidence to say that things are “other than normal.”. When you fail to reject the null hypothesis, it means that you do not have enough evidence to say things are other than expected based on a given confidence level.
What does reject the null mean?
Let use the popular p- value criteria. The rejection rule is: reject null hypothesis if p- value is less than 0.05 , 0.01 or 0.1. If you reject the null hypothesis, that means the alternative hypothesis will be accepted. But if you fail to, that means the claim of the null hypothesis after your research is valid.