The higher the p-value, the higher is the probability of failing to reject a null hypothesis.Īnd the lower the p-value, the higher is the probability of the null hypothesis being rejected.Īs you can observe from the image below, the higher the P-value the more close to the center of the graph we would be and hence more close to our claim in Null hypothesis and thus less chance of rejecting it. Otherwise, we fail to reject the Null Hypothesis if the P-value is greater than the significance level. If the P-value is less than the significance level, then the Null Hypothesis is rejected. To make the decision, we need to compare the Alpha or Significance level with the P value. How to make the final decision of the Hypothesis Test? Now, this Z score is looked up on the Z table to find the corresponding cumulative probability till that point.įurther, if it was a two tailed test then this value is multiplied by 2 to get the final P value. Sigma is the Standard Deviation of the Sample, The formula for calculating the P-value is as follows: The decision is displayed for both One Tailed Test and Two Tailed Test as well.

The calculator also displays the decision for an alpha value or significance level of 5%.

Along with the P-value it also displays the Z score. The calculator will display the P value for One Tailed test as well as for Two Tailed Test. This P value is then used to make a decision of either rejecting the null hypothesis or fail to reject the null hypothesis by comparing the P value to the Significance level or Alpha value. The sample mean, the hypothesised mean, the sample size and the standard deviation of the sample are the metrics used to calculate the Z score and based on this value the P value is calculated using the Z table. P Value calculator is a simple and easy to use tool which helps in calculating the P value using the Z score calculated by using the statistical measures of the sample.

Null hypothesis test calculator