Typically, it is very easy for a hypothesis test to accurately reject the null hypothesis when there is little difference between the hypothesized and actual population mean.

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Typically, it is more challenging to accurately reject the null hypothesis when the difference between the hypothesized and actual population mean is small, as the statistical power of the test decreases with smaller effect sizes.

Typically, It Is Very Easy for a Hypothesis Test to Accurately