What is the other name of Null Hypothesis

The null hypothesis is often called the statistical hypothesis because it states no real effect or no difference in the target population. It gives a baseline for significance testing. Researchers collect data compute a test statistic and find a p value to judge whether results are unlikely if the null were true. If the probability is smaller than a preset alpha they reject the null and support the alternative. Clear operational definitions guard against ambiguity. Power analysis sample planning and effect size reporting improve study quality. Responsible practice also reports confidence intervals so decisions are transparent and replicable.