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Accepting Or Rejecting Null Hypothesis. Asked Nov 5 20 at 1206. You cant prove a negative. If our statistical analysis shows that the significance level is below the cut-off value we have set eg either 005 or 001 we reject the null hypothesis and accept the alternative hypothesis. When the null hypothesis is rejected it means the sample has done some statistical work but when the null hypothesis is accepted it means the sample is almost silent.
Here you could say the null hypothesis was not rejected or failed to reject the null hypothesis because you did not find evidence against the null hypothesis. About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy Safety How YouTube works Test new features Press Copyright Contact us Creators. You cant prove a negative. Asked Nov 5 20 at 1206. Remember that in a one-tailed test the regi. Psychonomic Bulletin Review 16 225237 2009.
The value in the table is 2042.
Rejecting or failing to reject the null hypothesis If our statistical analysis shows that the significance level is below the cut-off value we have set eg either 005 or 001 we reject the null hypothesis and accept the alternative hypothesis. Rejecting or failing to reject the null hypothesis. All it means is that the null hypothesis has not been disprovenhence the term failure to reject A failure to reject a hypothesis should not be confused with acceptance. Accepting the null hypothesis would indicate that youve proven an effect doesnt exist. Failing to reject a hypothesis means a confidence interval contains a value of no difference. When to Reject the Null hypothesis Basically you reject the null hypothesis when your test value falls into the rejection region.