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 Sample Size given P Value?
Sample Size given P Value calculator uses Sample Size = ((P Value of Sample^2)*Assumed Population Proportion*(1-Assumed Population Proportion))/((Sample Proportion-Assumed Population Proportion)^2) to calculate the Sample Size, Sample Size given P Value formula is defined as the total number of individuals or items included in a specific sample, and calculated using the P value of the sample data. Sample Size is denoted by N symbol.
How to calculate Sample Size given P Value using this online calculator? To use this online calculator for Sample Size given P Value, enter P Value of Sample (P), Assumed Population Proportion (P0(Population)) & Sample Proportion (PSample) and hit the calculate button. Here is how the Sample Size given P Value calculation can be explained with given input values -> 10.14 = ((0.65^2)*0.6*(1-0.6))/((0.7-0.6)^2).