Which of the following statements about hypothesis testing are TRUE? [Select ALL that are TRUE.] Type I and Type II Errors represent mistakes a statistician makes when performing statistical analysis, such as applying the central limit theorem when it is not justified a hypothesis test can conclude that there is sufficient evidence to accept the null hypothesis the alternative hypothesis is accepted when the null hypothesis is rejected statistical hypotheses about population parameters are proven true or false with 100% certainty a hypothesis test can conclude that there is sufficient evidence to reject the null hypothesis the probability of making a Type I Error and the probability of making a Type II Error both decrease when the critical region is made smaller the probability of making a Type I Error and the probability of making a Type II Error both decrease when the sample size is increased the null hypothesis involves setting an unknowable population parameter EQUAL TO a claimed value