Chapter 8 and 9 BB
The width of a confidence interval estimate for a proportion will be
narrower for 90% confidence than for 95% confidence.
If the Type I error for a given test is to be decreased, then for a fixed sample size n
the Type II error will increase.
True or False: The t distribution is used to develop a confidence interval estimate of the population mean when the population standard deviation is unknown.
true
A Type II error is committed when
we don't reject a null hypothesis that is false.
True or False: The difference between the sample proportion and the population proportion is called the sampling error.
False
Which of the following would be an appropriate alternative hypothesis?
The population proportion is less than 0.65.
Which of the following would be an appropriate null hypothesis?
The population proportion is no less than 0.65.
True or False: For a given data set, the confidence interval will be wider for 95% confidence than for 90% confidence.
True
True or False: Holding the sample size fixed, increasing the level of confidence in a confidence interval will necessarily lead to a wider confidence interval.
True
True or False: It is not considered an unethical practice to discard extreme or unusual values if you can determine that a measurement is incomplete or grossly in error because of some equipment problem or unusual behavioral occurrence unrelated to the study.
True
True or False: The test statistic measures how close the computed sample statistic has come to the hypothesized population parameter.
True