QNT 275 Week 4 Quiz

QNT 275 Week 4 Quiz | Assignment Help | University Of Phoenix 

Week 4 Quiz

• ​1

The values assigned to a population parameter based on the value(s) of a sample statistic are:

​the probabilities

​estimate(s)

​the probability distribution

​a sampling distribution

• 2

​The confidence level of an interval estimate is denoted by:

​(1-β)*100%

​α

​β

​(1-α)*100%

• 3

For a two-tailed test, the p-value is:

​the area in the tail under the curve on the side which the sample statistic lies

​the area under the curve between the mean and the observed value of the sample statistic

​twice the area under the curve between the mean and the observed value of the sample statistic

​twice the area in the tail under the curve on the side which the sample statistic lies

• 4

​A sample of 126 corporate managers and another sample of 168 college professors produced mean job-related stress scores of 7.35 for the managers and 6.86 for the professors. Suppose that the standard deviations of the stress scores are 1.12 for the managers and 1.82 for the professors. The null hypothesis is that the mean stress scores are the same for corporate managers and college professors, while the alternative hypothesis is that the mean stress score for managers is different from the mean stress score for professors. The significance level for the test is 1%. What are the critical values of z?

​-2.58 and 2.58

​-1.96 and 1.96   

​-3.09 and 3.09

​-2.33 and 2.33

• 5

​Two samples drawn from two populations are independent if:

​the selection of one sample from one population does not affect the selection of the second sample from the second population

​two samples selected from the same population have no relation

​the selection of one sample from a population is not related to the selection of the second sample from the same population

​the selection of one sample from a population is related to the selection of the second sample from the same population

• 6

​The null hypothesis is a claim about a:

​parameter, where the claim is assumed to be false until it is declared true

​statistic, where the claim is assumed to be true until it is declared false

​statistic, where the claim is assumed to be false until it is declared true

​parameter, where the claim is assumed to be true until it is declared false