Hypothesis Testing In Statistics – When To Reject The Null Hypothesis

Moderate evidence against H(0): reject it, and go with H(1)

What’s the interpretation of a p-value between 1-5%

In the field of statistics, hypotheses are assumptions that are made about a population based on sample data. The null hypothesis (H(0)) is a statement that there is no significant difference or relationship between two variables, while the alternative hypothesis (H(1)) is a statement that there is a significant difference or relationship between two variables.

When there is moderate evidence against the null hypothesis, it means that the results of the statistical analysis suggest that the null hypothesis is unlikely to be true, and there is evidence in favor of the alternative hypothesis. In this situation, the researcher should reject the null hypothesis and accept the alternative hypothesis.

It is important to note that the decision to reject the null hypothesis should be based on a careful evaluation of the statistical evidence, including the sample size, the level of significance, and the strength of the evidence. The researcher should also consider the practical significance of the results, as well as any potential biases or confounding factors that may have influenced the analysis.

In summary, when moderate evidence against the null hypothesis is observed, the researcher should reject the null hypothesis and support the alternative hypothesis based on a thorough evaluation of the statistical evidence and practical significance of the results.

More Answers: