We have learned that the probability of making a type 1 error when the null hypothesis is true is usually set at 5%. The probability of making a type 2 error when the alternative hypothesis is true is harder to find. Do you think that probability depends on the size of the sample? Explain your answer. ---Select--- , a type 2 error occurs when the alternative hypothesis is ---Select--- and the null hypothesis is ---Select--- . The larger the sample the ---Select--- the value of the test statistic (holding the effect constant) so the easier it is to ---Select--- the null hypothesis with a larger sample