未知类型:{'options': ['F statistic', 't statistic', 'Durbin Watson statistic', ''], 'type': 102}
举一反三
- Which of the following is a statistic that can be used to test hypotheses about a single population parameter?( ) A: χ2 statistic B: F statistic C: Durbin Watson statistic D: t statistic
- Which of the following is a statistic that can be used to test hypotheses about a single population parameter? A: F statistic B: t statistic C: LM statistic D: Durbin Watson statistic
- In a test of the mean of a population, if the population variance is: A: known, a z- distributed test statistic is appropriate. B: known, a t- distributed test statistic is appropriate. C: unknown, a z -distributed test statistic is appropriate.
- Which of the following is most likely a parameter as opposed to a statistic
- The test statistic measures how close the computed sample statistic has come to the hypothesized population parameter.
内容
- 0
A statistic is usually unobservable while a parameter is usually observable.
- 1
The critical region is: A: the region in which our sample statistic must fall if we are going to be certain to make a Type I error. B: the region in which our sample statistic must fall if we are not to reject the null hypothesis. C: the region in which our sample statistic must fall if we are going to be certain to make a Type II error. D: the region in which our sample statistic must fall if we are to reject the null hypothesis.
- 2
Statistic
- 3
An unbiased estimator is a sample statistic, which has an expected value equal to the value of the population parameter.
- 4
A F-statistic is used to test the hypothesis that: A: two population variances are equal. B: MSE equals 0. C: a z-statistic is greater than 0. D: a z statistic less than a t statistic.