False 7. The probability of making a Type I error and the level of significance, alpha, are the same. C True C False 8. A Type II error is committed when we incorrectly accept an alternative hypothesis that is false. C True C False 9. The analyst gets to choose the significance level, alpha. It is typically chosen to be 0.50, but it is occasionally chosen to be 0.05. C True C False 10. The significance level alpha also determines the rejection region. C True C False 11. Sample evidence is statistically significant at the alpha level only if the p-value is larger than C True C False 12. The p-value of a test is the probability of observing a test statistic at least as extreme as the one computed given that the null hypothesis is true. C True C False13. A low pvalue provides evidence for accepting the null hypothesis and rejecting the alternative. [3 True [3 False 14. If a null hypothesis about a population mean is rejected at the 0.025 level of signicance, then it must also be rejected at the 0.01 level. [3 True [3 False 15. he test statistic for a hypothesis test of a population proportion is the z-value. [3 True [3 False 16. Tests in which samples are not independent are referred to as matched pairs or paired samples. [3 True [3 False 17. An example of a paired sample is the number of defective computer chips of a particular type from two different manufacturers. [3 True [3 False Chapter 9 Quiz 1. A null hypothesis is a statement about the value of a population parameter. It is usually the current thinking, or \"status quo\". E: True [3 False 2. An alternative or research hypothesis is usually the hypothesis a researcher wants to prove. [3 True [3 False 3. An alternative hypothesis can have the signs >,