What is one thing you can think of that might lower the risk of making a type II error. Explain your answer?
Choosing higher values for α can reduce the probability of a Type II error.
Otherwise, it can be minimized either by picking a larger sample size or by choosing a "threshold" alternative value of the parameter in question that is further from the null value.
By increasing sample size, we reduce variability of statistic in question, thus reducing the chances of failing to be in rejection region when the true sampling distribution will indicate that it must be in rejection region.
By choosing threshold value of parameter (under which to compute probability of type 2 error) which is further from null value, we reduce chance that test statistic will be close to null value when the sampling distribution will indicate that it must be far from null value (in rejection region).
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