1. Which of the following are true?

a)The probability of making a Type I error is conditional on the Null Hypothesis being true.

b) A Type II error cannot occur if the decision is do not reject the null hypothesis

c)Type I and Type II errors can occur together.

d) The decision rule is usually formulated so that there is a low probability of making a Type I error

2.Which of the following are true?

a) The statistical decision of "do not reject the null hypothesis" can be made if the p-value is larger than alpha.

b) In classical hypothesis testing, the null hypothesis is 'not rejected' if the p-value exceeds the value of the Type I error.

c)In classical hypothesis testing, the decision to 'reject' the null hypothesis implies that the data available did not provide enough evidence to accept the null hypothesis.

d) "Not rejecting" the null hypothesis means the value of the parameter is definitely that stated inH_o