In statistics, hypothesis testing is a confirmatory analysis of statistical data to make yes or no decisions. A hypothesis test analyse the results of null hypothesis and alternative hypothesis of a population. The final decisions are usually made by conducting null hypothesis test. If p value is small, H0 will be rejected and large p-values will not allow to reject H0. P-value, T-score and test result can be calculated using Hypothesis Testing Calculator based on population mean.
If you are performing one tailed test which has a sample mean of 20 and population mean is 15. The size of the population is 5 and SD is 25 with the significance level of -10. If you perform the statistical hypothesis testing,
T-score is 0.44721
P-value is 0.6726
P-value > -10 ( Significance level). Hence, H0 is not rejected.H0 is Null Hypothesis.