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If a null hypothesis is not rejected, is it true?
How do researchers determine the level of evidence needed to reject or support a null hypothesis?
Researchers typically use a significance level or p-value to determine the strength of evidence against the null hypothesis. A p-value is the probability of obtaining the observed results of a test, assuming the null hypothesis is true. If the p-value is less than the significance level (usually set at 0.05), then the null hypothesis is rejected. If the p-value is greater than the significance level, the null hypothesis is not rejected.