Posted: January 19th, 2024

STATS Week 6 Assignment Quiz 2016

Question 1 of 25
1.0 Points

The __________ is a hypothesis-testing
procedure in which there are two separate groups of people tested and the
population variance is not known.

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A.t
test for dependent means
B.t
test for a single sample
C.t
test for independent means
D.t
test for repeated measures
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Question 2 of 25
1.0 Points

Which of the following is an example of a
situation in which you could conduct a t test for independent means?

A.A
comparison of the SAT scores of a group of 10 students who completed a special
SAT preparation course compared to how people do on the SAT in general.
B.A
comparison of scores of participants in a memory study in which one group
learns the words in alphabetical order and another group learns the words in
order of word length.
C.A
comparison of participants’ scores on a skills test before and after attending
a training session for improving the skill.

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D.None of the above would be suitable for a t test for independent
means.
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Question 3 of 25
1.0 Points

The comparison distribution for a t test
for independent means is a:

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A.distribution of differences between means
B.Z
distribution (i.e., a normal curve)

C.distribution of difference scores

D.distribution of proportional variance scores
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Question 4 of 25
1.0 Points

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A “distribution of differences between
means” can be thought of as a distribution of as:

A.difference scores, in which the difference scores are found by
subtracting a series of sample means from the population mean

B.the differences you find when you use several methods, in sequence, of
estimating the population mean

C.the differences you get when you repeatedly draw a sample mean from
one population and a sample mean from another population and subtract one mean
from the other

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D.the differences between a single sample from Population 1 and all
possible samples from Population 2
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Question 5 of 25
1.0 Points

You conduct a t test for independent means
and reject the null hypothesis. This means that:

A.the samples were from populations that were actually dependent rather
than independent
B.the
variance of one sample is so much larger than the variance of the other sample
that you decide that the variances of the parent populations must not have been
the same

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C.the mean of one sample is so far from the mean of the other sample
that you decide the samples must come from populations with different
means

D.the mean of one sample is statistically the same as the mean of the
other sample, so they probably come from populations with equal means
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Question 6 of 25
1.0 Points

When conducting a t test for independent
means, a typical research hypothesis might be:

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A.the mean of Population 1 is greater than the mean of Population 2

B.the mean of Sample 1 is greater than the mean of Sample 2

C.the mean of Sample 1 is the same as the mean of Sample 2

D.the mean of Population 1 is the same as the mean of Population 2
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Question 7 of 25
1.0 Points

All of the following are true for both the
t test for independent means AND the t test for dependent means, EXCEPT:

A.population variances are estimated from the information in the sample
of scores actually studied

B.pretest–posttest experimental designs are common

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C.the population means are unknown

D.the sample scores (in some form) are eventually compared to a t
distribution
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Question 8 of 25
1.0 Points

When determining the pooled population
variance estimate in a t test for independent means:

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A.the variance of at least one of the original populations must be known
(as opposed to estimated), but the other can be estimated from sample
scores

B.the variance of BOTH of the original populations must be known, as
opposed to estimated

C.the estimates based on each of the samples are averaged in such a way
as to give more influence to the estimate based on more participants

D.the scores from both samples are combined to form a single sample, and
the estimated variance is figured in the usual way, but using this combined
sample
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Question 9 of 25
1.0 Points

In a t test for independent means, the
weighted average of the estimates of the population variance from two samples
is known as the:

A.estimate of sample standard deviation

B.primed estimate of population standard deviation

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C.pooled estimate of population variance

D.pooled estimate of degrees of freedom

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Question 10 of 25
1.0 Points

In a t test for independent means, the
square root of the variance of distribution of differences between means is
known as the:

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A.overestimate of population variance

B.pooled estimate of population standard deviation

C.variance of the distribution of differences between means

D.standard deviation of the distribution of differences between
means
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Question 11 of 25
1.0 Points

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Which of the following is the best way to
reduce the variances in the distributions of means when conducting a t test for
independent means?

A.Increase the size of the samples

B.Raise the study’s level of significance

C.Use the true population variance

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D.Treat the two samples as one sample

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Question 12 of 25
1.0 Points

When conducting a t test for independent
means, once the variances are known for each of the distributions of means, the
variances can be added together to give the:

A.pooled estimate of the population variance

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B.variance of the distribution of differences between means
C.t
score

D.power of the study
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Question 13 of 25
1.0 Points

The variance of a distribution of
differences between means equals:

A.the difference between the variances of the two distributions of
means

B.the sum of the variances of the two distributions of means

C.the difference between the two estimated population variances

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D.the sum of the two estimated population standard deviations
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Question 14 of 25
1.0 Points

The comparison distribution for a t test
for independent means is a t distribution (as opposed to a normal curve)
because:

A.tables are not available for the normal curve

B.the population variance is estimated

C.Z
distributions were not used at the time the t test for independent means was
invented

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D.there are more degrees of freedom for a single sample than for when
you use two samples
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Question 15 of 25
1.0 Points

When using a t table, the degrees of
freedom you should use for a t test for independent means is the:

A.degrees of freedom for Sample 1 divided by the total degrees of
freedom for both samples

B.average of the degrees of freedom for the two samples

C.sum of the two sample sizes, minus one

D.sum of the two samples’ degrees of freedom
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Question 16 of 25
1.0 Points

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Each of the following is part of conducting
a t test for independent means, EXCEPT:

A.difference scores are found for each participant

B.the population variances are estimated

C.a
comparison is made against a t distribution

D.the variance of the distribution of differences between means is
figured
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Question 17 of 25
1.0 Points

When conducting a t test for independent means:

A.you assume the medians of the two populations are equal

B.you reject the null hypothesis if the t score is more extreme than the
cutoff t score

C.you should use only the .01 significance level because of the greater
power compared to a t test for dependent means

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D.all of the above
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Question 18 of 25
1.0 Points

Many computer programs provide two sets of
results for the t test for independent means. The standard method assumes that
the population variances are __________ ; an alternative procedure takes into
account that the population variances may be __________.

A.negatively skewed; positively skewed

B.skewed; normally distributed

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C.equal; unequal

D.divisible by one another; highly skewed
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Question 19 of 25
1.0 Points

The effect size for the t test for
independent means is the difference between the sample means divided by the:

A.pooled estimate of the population SD

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B.SD of the distribution of differences between means

C.SD of difference scores

D.variance of difference scores for the population
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Question 20 of 25
1.0 Points

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For a study using a t test for independent
means, with any given total number of participants, power is greatest when the
participants are divided into __________ groups.

A.2
equal
B.3
equal
C.2
unequal
D.3
unequal
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Question 21 of 25
1.0 Points

For a study using a t test for independent
means, the approximate number of participants needed for 80% power for an
estimated small effect size and using a one-tailed test is:

A.50

B.64

C.310

D.393
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Question 22 of 25
1.0 Points

Suppose you carry out a study using a t
test for independent means. The number of participants in each group is 40 and
you conduct a one-tailed test. What would be the approximate level of power if
you anticipated a medium effect size? (Consult the power table 9-4).

A..07

B..72

C..97

D..29
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Question 23 of 25
1.0 Points

Suppose you carry out a study using a t
test for independent means. The number of participants in each group is 50 and
you conduct a two-tailed test. What would be the approximate level of power if
you anticipated a small effect size? (Consult the power table 9-4).

A..53

B..80

C..60

D..17
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Question 24 of 25
1.0 Points

In an experiment involving 50 participants,
which study would have the most power?

A.A
study with 5 in the experimental group and 40 in the control group
B.A
study with 40 in the experimental group and 10 in the control group
C.A
study with 25 in the experimental group and 25 in the control group

D.All would have the same power because power depends on the total
number of participants; how they are divided between groups makes no
difference.
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Question 25 of 25
1.0 Points

In a t test for independent means, when the
number of scores in the two groups differs, the __________ is used as the
equivalent of each group’s sample size when determining power.

A.power coefficient

B.pooled estimate
C.harmonic mean

D.independent t scores
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