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Chapter 9 Inferences based on two samples - Devore Test Bank

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Chapter 9 Inferences based on two samples - Devore Test Bank

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Chapter 9 Inferences based on two samples



COMPLETION

1. Let be a random sample from a population with mean
be a random sample with mean and that the X and Y samples are independent of one another.
The expected value of is and the standard deviation of = .


ANS:
PTS: 1

2. Let be a random sample from a normal population with mean
be a random sample from a normal population with mean
be a random sample from a normal population with mean
=16, and that X and Y samples are independent of one another. If the sample mean values are
then the value of the test statistic to test is z =
and that will be rejected at .01 significance level if

ANS: -1.45, 2.58, -2.58

PTS: 1

3. In testing the computed value of the test statistic is z = 2.25. The P-value for
this two-tailed test is then .

ANS: .0244

PTS: 1

4. Investigators are often interested in comparing the effects of two different treatments on a response. If the individuals
or subjects to be used in the comparison are not assigned by the investigators to the two treatments, the study is said
to be . If the investigators assign individuals or subjects to the two treatments in a random fashion, this
is referred to as .

ANS: observational, randomized controlled experiment.

PTS: 1

5. Provided that the sample sizes m and n of two independent samples X and Y are both large (i.e., m> 40 and n> 40),
then a confidence interval for the difference between the two population means, with a confidence level of
approximately is , where the values of the population variances are unknown.


ANS:
PTS: 1

,6. Provided that at least one of the sample sizes m and n of two independent samples X and Y is small, and that the
corresponding populations are both normally distributed with unknown values of the population variances, then a
confidence interval for the difference between the two population means, with a confidence level of
is .

, ANS:

PTS: 1

7. The pooled t procedures are alternatives to the two-sample t procedures for situations in which not only the two
population distributions are assumed to be but also they have equal .

ANS: normal, variances

PTS: 1

8. The degrees of freedom associated with the pooled t test, based on sample sizes m and n, is given by .

ANS:

PTS: 1

9. The pooled t confidence interval for estimating with confidence level using two independent
samples X and Y with sizes m and n is given by .


ANS:
PTS: 1

10. The weighted average of the variances of two independent samples is referred to as the of
(the common variance of the two population variances), and is denoted by .

ANS: pooled estimator,

PTS: 1

11. The number of degrees of freedom for a paired t test, where the data consists of n independently pairs
is .

ANS: n-1

PTS: 1

12. The rejection region for level .025 paired t test in testing is , where the
data consists of 12 independent pairs.

ANS:

PTS: 1

13. A 90% confidence interval for the true mean difference in paired data consisting of n independent pairs, is
determined by the formula .

, ANS:

PTS: 1

14. In testing where is the true mean difference in paired data consisting of 16
independent pairs, the value of the test statistic is found to be 2.8. Then the P-value is approximately .

ANS: .014

PTS: 1

15. Let with X and Y independent variables, and let
is an estimator of

ANS: unbiased

PTS: 1

16. In testing denote the two population properties, the P-
value is found to be .0715. Then at .05 level, should .

ANS: not be rejected

PTS: 1

17. In testing denote the two population proportions, the
following summary statistics are given: m = 400, x = 140, n = 500 and y = 160. Then the value of the test statistic is z
= .

ANS: .949

PTS: 1

18. In testing where denote the two population
proportions, the standardized variable is an estimate of the common value of

and m and n are the two sample sizes, has approximately a standard normal distribution when .

ANS: is true

PTS: 1

19. If are independent random variables with degrees of freedom respectively, then
the random variable has an F distribution.

ANS: chi-squared

PTS: 1

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