No. The p-value only tells you how likely the data you have observed is to have occurred under the null hypothesis. · If the p-value is below your threshold of significance (typically < 0.05), then you can reject the null hypothesis, but this does not necessarily mean that your alternative hypothesis is true.

Ap-value, or probability value, is a number describing how likely it is that your data would have occurred under the null hypothesis of your statistical test.

P-values are usually automatically calculated by the program you use to perform your statistical test. They can also be estimated using p-value tables for the relevant test statistic. · P-values are calculated from the null distribution of the test statistic. They tell you how often a test statistic is expected to occur under the null hypothesis of the statistical test, based on where it falls in the null distribution. · If the test statistic is far from the mean of the null distribution, then the p-value will be small, showing that the test statistic is not likely to have occurred under the n