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Failing to reject the null hypothesis when it is false.

Question

Failing to reject the null hypothesis when it is false.

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Solution

This situation is known as a Type II error, or a false negative. It occurs when a test fails to reject the null hypothesis when it is indeed false. This means that there is an effect or difference but the test has failed to detect it. This can be due to several reasons such as a small sample size or lack of power in the statistical test.

Similar Questions

we reject the true null hypothesis.

According to Type I error, the null hypothesis is false but we fail to reject it. Is it true or false?

null and alternative hypotheses.

The null hypothesis is most appropriately rejected when the p-value

The decision to reject or fail to reject the null hypothesis is based on:a.The researcher's personal beliefsb.The p-value obtained from the statistical testc.The sample size used in the studyd.The population size used in the study

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