Looking at the table, the p-value of 0.354 is greater than the level of significance of 0.05 (5%), we fail to reject the null hypothesis. Using the P-value Formula Table, Check if the Hypothesis is Rejected or not when the P-value is 0.354 with 5% Level of Significance. It indicates the null hypothesis is very likely. It indicates the null hypothesis is very unlikely. \(Z = \frac=\) assumed population proportion in the null hypothesis The formula for the calculation for P-value is: The level of significance(α) is a predefined threshold that should be set by the researcher. P-value always only lies between 0 and 1. P-value is an important statistical measure, that helps to determine whether the hypothesis is correct or not. The smaller the P-value, the stronger is the evidence in favor of the alternative hypothesis given observed frequency and expected frequency. In this video, Professor Curtis uses StatCrunch to demonstrate how to use StatCrunch to perform hypothesis testing on the proportion of polygraph results (My. The P-value formula is used as an alternative to the rejection point to provide the least significance for which the null hypothesis would be rejected. The P-value represents the probability of occurrence of the given event. P-value defines the probability of getting a result that is either the same or more extreme than the other actual observations.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |