Which are the common used ways to sampling? A: Simple random sample without replacement B: Simple random sample with replacement C: Stratified sample D: Cluster sample
Which are the common used ways to sampling? A: Simple random sample without replacement B: Simple random sample with replacement C: Stratified sample D: Cluster sample
Which of the following sampling methods is a probability sample?
Which of the following sampling methods is a probability sample?
Which of the following is most likely a population as opposed to a sample?
Which of the following is most likely a population as opposed to a sample?
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.
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.
A sample in which the characteristics of the sample are the same as those of the population is a(n): （ ） A: attributes sample. B: variables sample. C: random sample. D: representative sample.
A sample in which the characteristics of the sample are the same as those of the population is a(n): （ ） A: attributes sample. B: variables sample. C: random sample. D: representative sample.
Let's say that population X~N（[img=36x26]1803dc1a509e5ed.png[/img]）,[img=114x23]1803dc1a594f2d6.png[/img] is the sample of X,[img=15x22]1803dc1a6159fd0.png[/img] is the mean of our sample, and [img=19x22]1803dc1a69f6423.png[/img] is the variance of our sample.Which of the following is not true? A: [img=190x74]1803dc1a75634cd.png[/img] B: [img=118x46]1803dc1a7e668c3.png[/img] C: [img=135x50]1803dc1a8a7f9af.png[/img] D: [img=153x72]1803dc1a9526716.png[/img]
Let's say that population X~N（[img=36x26]1803dc1a509e5ed.png[/img]）,[img=114x23]1803dc1a594f2d6.png[/img] is the sample of X,[img=15x22]1803dc1a6159fd0.png[/img] is the mean of our sample, and [img=19x22]1803dc1a69f6423.png[/img] is the variance of our sample.Which of the following is not true? A: [img=190x74]1803dc1a75634cd.png[/img] B: [img=118x46]1803dc1a7e668c3.png[/img] C: [img=135x50]1803dc1a8a7f9af.png[/img] D: [img=153x72]1803dc1a9526716.png[/img]
The<br/>process which requires the calculation of an interval and then<br/>selects the items based on the size of the interval is ( <br/>) A: statistical<br/>sampling. B: random<br/>sample selection. C: systematic<br/>sample selection. D: computerized<br/>sample selection.
The<br/>process which requires the calculation of an interval and then<br/>selects the items based on the size of the interval is ( <br/>) A: statistical<br/>sampling. B: random<br/>sample selection. C: systematic<br/>sample selection. D: computerized<br/>sample selection.
An unbiased estimator is a sample statistic, which has an expected value equal to the value of the population parameter.
An unbiased estimator is a sample statistic, which has an expected value equal to the value of the population parameter.
A<br/>sample in which the characteristics of the sample are the same as<br/>those of the population is a ( ) A: variables<br/>sample. B: representative<br/>sample. C: attributes<br/>sample. D: random<br/>sample.
A<br/>sample in which the characteristics of the sample are the same as<br/>those of the population is a ( ) A: variables<br/>sample. B: representative<br/>sample. C: attributes<br/>sample. D: random<br/>sample.
A test is often a one-off event which may not necessarily give a fair sample of the learners’ overall proficiency.
A test is often a one-off event which may not necessarily give a fair sample of the learners’ overall proficiency.