Question: 1.What is a null hypothesis H0? a) A null hypothesis H0 is a specific hypothesis where the claim is that the population parameter does not

1.What is a null hypothesis H0?

a) A null hypothesis H0 is a specific hypothesis where the claim is that the population parameter does not equal 0.

b) A null hypothesis H0 is a working hypothesis making a claim about the population parameter in question.

c) A null hypothesis H0 is a specific hypothesis where the claim is that the population parameter is equal to 0.

d) A null hypothesis H0 is any hypothesis that differs from the original claim being made.

2.What is an alternate hypothesis H1?

a) An alternate hypothesis H1 is any hypothesis that differs from the original claim being made.

b) An alternate hypothesis H1 is a specific hypothesis where the claim is that the population parameter is equal to 0.

c) An alternate hypothesis H1 is a specific hypothesis where the claim is that the population parameter does not equal 0.

d) An alternate hypothesis H1 is a working hypothesis making a claim about the population parameter in question.

3. What is a type I error? a type II error?

a) Type I and type II errors occur when we fail to reject the null hypothesis when it is false.

b) Failing to reject the null hypothesis when it is false is a type I error. Rejecting the null hypothesis when it is true is a type II error.

c) Type I and type II errors occur when we reject the null hypothesis when it is true.

d) Rejecting the null hypothesis when it is true is a type I error. Failing to reject the null hypothesis when it is false is a type II error.

4. What is the level of significance of a test?

a) The level of significance of a test is the probability we fail to reject the null hypothesis.

b) The level of significance of a test is the probability with which we are willing to risk a type I or a type II error.

c) The level of significance of a test is the probability the population parameter is equal to 0.

d) The level of significance of a test is the probability with which we are willing to risk a type I error.

e) The level of significance of a test is the probability with which we are willing to risk a type II error.

5. What is the probability of a type II error?

a)

b)

c) 1

d) 1

e) +

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