What is P value in Statistics?
The p value is a number, calculated from a statistical test, that describes how likely you are to have found a particular set of observations if the null hypothesis were true.
P values are used in hypothesis testing to help decide whether to reject the null hypothesis. The smaller the p value, the more likely you are to reject the null hypothesis.
The p value, or probability value, tells you how likely it is that your data could have occurred under the null hypothesis. It does this by calculating the likelihood of your test statistic, which is the number calculated by a statistical test using your data.
How to Calculate P Value of Sample?
P Value of Sample calculator uses P Value of Sample = (Sample Proportion-Assumed Population Proportion)/sqrt((Assumed Population Proportion*(1-Assumed Population Proportion))/Sample Size) to calculate the P Value of Sample, P Value of Sample formula is defined as the probability associated with a statistical test, indicating the likelihood of obtaining the observed results or more extreme results if the null hypothesis is true. P Value of Sample is denoted by P symbol.
How to calculate P Value of Sample using this online calculator? To use this online calculator for P Value of Sample, enter Sample Proportion (PSample), Assumed Population Proportion (P0(Population)) & Sample Size (N) and hit the calculate button. Here is how the P Value of Sample calculation can be explained with given input values -> 0.912871 = (0.7-0.6)/sqrt((0.6*(1-0.6))/10).