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Failing to reject the null hypothesis when it is false is

Question

Failing to reject the null hypothesis when it is false is

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Solution

Failing to reject the null hypothesis when it is false is known as a Type II error. This occurs when we do not observe a difference when in truth there is one. This could be due to several reasons such as a small sample size or lack of sensitivity in our testing method.

Similar Questions

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

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

we reject the true null hypothesis.

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At the  = 0.05 level. In question 7, the decision on the null hypothesis is:  Do not reject reject None of the above

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