26
Feb
Reject Null Hypothesis P Value. This means that if the P value is less than 005 you reject the null hypothesis. And if the value is greater than 005 the null hypothesis. Why are the two senses of alpha in hypothesis testing identical. Remember that in a one-tailed test the regi.
When your p-value is greater than your significance level you fail to reject the null hypothesis. Why are the two senses of alpha in hypothesis testing identical. At what point is it conventional to not reject the null hypothesis. What is the correct statistical language to conclude using type II error. If the p-value is less than 005 we reject the null hypothesis that theres no difference between the means and conclude that a significant difference does exist. Your results are statistically significant.
The P-value is probability value to test the null hypothesis is either rejected or not rejected generally the p-value is compared with 5 level of significance to find a conclusion for.
If the p-value is less than 005 we reject the null hypothesis that theres no difference between the means and conclude that a significant difference does exist. It indicates strong evidence against the null hypothesis as there is less than a 5 probability the null is correct and the results are random. After you perform a hypothesis test there are only two possible outcomes. If P is greater than or equal to 005 you dont reject the null hypothesis. You can also think about the p-value as the total area of the region of rejection. Therefore we reject the null hypothesis and accept the alternative hypothesis.