Question

1. When conducting a t test for differences between means, increasing sample size impacts the

a. standard deviation of the sampling distribution

b. degrees of freedom

c. t score

d. all of the above

2. In terms of finding importance vs. statistics

a. researchers can analyze importance as well as significance

b. there is no difference between importance and significance

c. the distinction is entirely dependent upon data

d. researchers cannot formally assess importance

3. When finding significance involving two sampled proportions, we find the value of the population proportion by estimating

a. the value of the sample means

b. the sample standard deviations

c. the value z obtained

d. the sample proportions

4. Population variance measures-

a. dispersion

b. location

c. central tendency

d. degrees of freedom

5. When the null hypothesis in the chi square test for independence is true, there should be

a. large difference between the observed frequencies and the expected frequencies

b. no difference between the row and the column marginals

c. little difference between the observed frequencies and the expected frequencies

d. no difference between the observed frequencies and the marginals

Answer #1

Explain how to perform a two-sample t-test for the difference
between two population means. Which explanation below best
describes how to perform the two-sample t-test?
A. Find the critical value(s) and identify the rejection
region(s). Specify the level of significance. State the hypotheses
and identify the claim. Determine the degrees of freedom. Make a
decision and interpret it in the context of the original claim.
Find the standardized test statistic.
B. State the hypotheses and identify the claim. Specify the...

In a paired t-test, when will the distribution of sample means
of the differences be normal or approximately normal?
Select all that apply.
A.
When the sample is representative of the population of
interest
B.
When the sample size is at least 30
C.
When the distribution of differences in the population is
normal
D.
When all of the above are true

In constructing a confidence interval estimate for the
difference between two population proportions, we: A. never pool
the population proportions B. pool the population proportions when
the populations are normally distributed C. pool the population
proportions when they are equal D. pool the population proportions
when the population means are equal The ratio of two independent
chi-squared variables divided by their degrees of freedom is: A.
normally distributed B. Student t-distributed C. F-distributed D.
chi-squared distributed

The MINITAB printout shows a test for the difference in
two population means.
Two-Sample
T-Test and CI: Sample 1, Sample 2
Two-sample T for Sample
1 vs Sample 2
N
Mean
StDev
SE Mean
Sample 1
5
29.00
3.00
1.3
Sample 2
7
28.89
3.63
1.4
Difference = mu (Sample
1) - mu (Sample 2)
Estimate for
difference: 0.11
95% CI for difference:
(-4.3, 4.5)
T-Test of difference =
0 (vs not =):
T-Value = 0.06 P-Value
= 0.96...

Independent simple random samples are taken to test the
difference between the means of two populations whose
variances are not known. Given the sample sizes
are n1 = 11 and n2 = 16; and the sample
variances are S12 = 33 and
S22 = 64, what is the correct distribution to
use for performing the test?
A.
t distribution with 49 degrees of freedom
B.
t distribution with 59 degrees of freedom
C.
t distribution with 24 degrees of freedom...

The estimated effect size for a study using a t test for
dependent means is the mean of the difference scores divided by
the:
Select one:
a. estimated standard deviation of the population of difference
scores
b. estimated variance of the sample of difference scores
c. difference scores
d. estimated mean of the population of difference scores

Describe a confidence interval for the difference in means
between two population by stating
1. a pair of populations composed of the same type of individuals
and a quantitative variable on those populations,
2. sizes and degrees of freedom of samples from those
populations,
3. the means of those samples, and
4. the standard deviations of those samples. Then state
5. a confidence level and find
6. find the interval. Finally, perform a test of significance
concerning the difference in...

A two means t-test is appropriate when ____
A. the value for ? is known
B. the mean for a sample is compared to a known population
mean
C. one sample is used to test a hypothesis about one
population
D. there are two separate samples containing different
subjects

1. if a statistically significant difference was found between
two means using an independent-samples t test, which of the
following interpretations would be correct.
A) something over and above sampling error is responsible for
the difference between sample means
B) the difference between two means is meaningful.
C)it is unlikely that something other than error is responsible
for the difference between the sample means.
D) the difference between the two means is due to a large effect
size
2. in...

1. The F ratio may be used to assess difference between
(among):
a. two sample means b. three sample means c. four sample means
d. All of these
3. With a two-group experimental design, the independent
variable has been manipulated at:
a. one level b. two levels c. three levels d. all of these
4. For the F ratio, if alpha is set at .05, it remains at .05 of
comparisons are made between (among)
a. 2 group means b....

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