Question: the confidence interval for a correct decision is one -alpha, and is the confidence interval.An incorrect decision is has the probability of being decreased by

the confidence interval for a correct decision is one -alpha, and is the confidence interval.An incorrect decision is has the probability of being decreased by the lowering the alpha value.

For making a false or wrong decision, or type II error, when in fact there was not enough evidence, beta is used and to reduce type II error one should lower the beta.

There are several factors that affect the power of the tests, alpha and beta, a and those are significance level chosen, sample size, and how the alternative hypothesis is framed.

How would I structure a statistical response to this discussion?

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