Just because two or more values are different does not mean that they are differ

Question

Just because two or more values are different does not mean that they are different in a statistically significant manner. Researchers rely on the p values that are generated for each of their statistical tests to determine significance. If the p value is larger than the alpha, then they are not different in a statistically significant manner, and therefore the values are not considered different. In this journal activity, consider these concepts in terms of the differences between null and alternative hypotheses.

Write 1 to 2 paragraphs about this statement above

Explanation / Answer

P value means ' probability of rejecting null hypothesis'

if it falls in rejecting region, then reject H0 otherwise fail to reject H0

Suppose probable rejecting percentage is 5%,

then decision rule : if p value < 0.05, then reject H0. It indicates p value falls in rejection region.

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