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Statistics
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Business Statistics
Quiz 11: Statistical Inferences Based on Two Samples
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Question 1
True/False
In an experiment involving matched pairs, a sample of 12 pairs of observations is collected. The degrees of freedom for the t statistic is 10.
Question 2
True/False
In testing the difference between two population variances, it is a common practice to compute the F statistic so that its value is always greater than or equal to one.
Question 3
True/False
There are two types of machines, called type A and type B. Both type A and type B can be used to produce a certain product. The production manager wants to compare efficiency of the two machines. He assigns each of the 15 workers to both types of machines to compare their hourly production rate. In other words, each worker operates machine A and machine B for one hour each. These two samples are independent.
Question 4
True/False
In testing the difference between the means of two normally distributed populations using large independent random samples, the sample sizes from the two populations must be equal.
Question 5
True/False
In testing the difference between two means from two independent populations, the sample sizes do not have to be equal.
Question 6
True/False
If the limits of the confidence interval of the difference between the means of two normally distributed populations were from −2.6 to 1.4 at the 95 percent confidence level, then we can conclude that we are 95 percent certain that there is a significant difference between the two population means.
Question 7
True/False
The controller of a chain of toy stores is interested in determining whether there is any difference in the weekly sales of store 1 and store 2. The weekly sales are normally distributed. This problem should be analyzed using an independent means method.
Question 8
True/False
In forming a confidence interval for μ
1
− μ
2
, only two assumptions are required: independent samples and sample sizes of at least 30.
Question 9
True/False
In testing the equality of population variances, two assumptions are required: independent samples and normally distributed populations.
Question 10
True/False
When testing the difference between two proportions selected from populations with large independent samples, the z test statistic is used.
Question 11
True/False
When comparing two population means based on independent random samples, the pooled estimate of the variance is used when there is an assumption of equal population variances.
Question 12
True/False
Assume that we are constructing a confidence interval for the difference in the means of two populations based on independent random samples. If both sample sizes n
1
and n
2
=10, and the distributions of both populations are highly skewed, then a confidence interval for the difference in the means can be constructed using the t test statistic.
Question 13
True/False
If the limits of the confidence interval of the difference between the means of two normally distributed populations were 8.5 and 11.5 at the 95 percent confidence level, then we can conclude that we are 95 percent certain that there is a significant difference between the two population means.
Question 14
True/False
When comparing the variances of two normally distributed populations using independent random samples, if s
1
2
= s
1
2
, the calculated value of F will always be equal to one.
Question 15
True/False
When we are testing a hypothesis about the difference in two population proportions based on large independent samples, we compute a combined (pooled) proportion from the two samples if we assume that there is no difference between the two proportions in our null hypothesis.
Question 16
True/False
In testing the difference between the means of two normally distributed populations using independent random samples, the alternative hypothesis always indicates no difference between the two specified means.