举一反三
- A point estimator will be unbiased if the A: expected value of the point estimator equals the value of the population parameter B: sample size is greater than 30 or np ³ 5 and n(1-p) ³ 5 C: sampling distribution is normally distributed D: value of the population parameter is known
- The test statistic measures how close the computed sample statistic has come to the hypothesized population parameter.
- The sample variance is an unbiased estimator of the population variance.
- When estimating population parameters, a point estimate is:? always equal to a population value.|a range of possible values for a population parameter.|the population mean.|a statistic that estimates a population parameter.
- 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
内容
- 0
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
- 1
Which of the following is a statistic that can be used to test hypotheses about a single population parameter? 未知类型:{'options': ['F statistic', 't statistic', 'Durbin Watson statistic', ''], 'type': 102}
- 2
Which of the following is not necessary to determine a p-value? A: Knowledge of whether the test is one-tailed or two-tailed B: The value of the test statistic C: The level of significance D: Sample size
- 3
Which of the following is most likely a parameter as opposed to a statistic
- 4
Within a resource-plan definition, what differentiates a top-level plan from a subplan?() A: A subplan has the PLAN_SUB parameter value set to SUB B: A top-level plan has the GROUP_OR_PLAN parameter set to the name of the subplan in the resource-plan definition C: There is no difference in the resource-plan definition D: A subplan always has the CPU_MTH parameter value set to RATIO E: The string TOP_LEVEL is appended to the name of top-level resource pla