1. The probability of committing a type 2 error increases as alpha increases:

**False**

2. If type 1 error for a given test is to be decreased, then for a fixed sample n, the type 2 error test will increase.

**True**

3. If a decision maker is concerned that the chance of making type 2 error is too large, one option that will help reduce the risk is to reduce the significance level:

**False**(number of samples must be increased)

4. When the decision maker has control over the null and alternative hypotheses, the alternative hypothesis should be the "research" hypothesis.

**False**

5. It is possible to appropriately test a null and alternative hypotheses using the test statistic approach and reach a different conclusion that would be reached is the p-value approach was used.

**False**

6. When a hypothesis test is two-tailed, the level of significance must be twice as large as when the test is one tailed.

**False**

Please let me know if you think that some of my answers are wrong...thank you!