4.32 True or false:  Determine if the following statements are true or false, and explain your reasoning. If false, state how it could be corrected.   (d) If the alternative hypothesis is true, then the probability of making a Type 2 Error and the power of a test add up to 1. true   false (e) With large sample sizes, even small differences between the null value and the true value of the parameter, a difference often called the effect size, will be identified as statistically significant. false   true

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