Quiz Over Chapter 10 of the
Inferences Concerning One or
- A ____ (small/large) number of statistical techniques are available
to researchers who want to deal inferentially with the mean(s) computed
from sample data.
- (T/F) The technique of interval estimation can be used in studies
where interest lies in one or two means.
Inferences Concerning a Single Mean
- When a single sample is taken from a population, at what will the
researcher be guessing, the sample mean or m?
- In general, large sample sizes tend to bring about _____ (narrow/wide)
- In Excerpt 10.4, how much difference was there between the sample mean and the
numerical value in the null hypothesis?
- With a single group, the null hypothesis can be rejected when the
difference between the sample mean and ____ is larger than what would
be expected by chance.
- the actual population mean
- the pinpoint number in the null hypothesis
- If a researcher conducts a t-test on a single group mean, and if
df = 19, how many subjects were in the sample?
Inferences Concerning Two Means
- Which of the following terms suggest that 2 samples are "correlated"?
(Choose 1 or more of the options)
- paired samples
- matched samples
- independent samples
- unpaired samples
- dependent samples
- If the two samples have different ns, this is a "tip-off" that the
samples are ____ (independent/correlated).
- If a group's pretest mean is compared against its posttest mean,
these two sets of data are considered to be _____ (independent/correlated).
- (T/F) In comparing 2 means with a statistical test, 2 separate
inference are made (one to m1,
the other to m2).
- Do these statements say the same thing?
- Ho: m1 = m2
- Ho: m1 - m2
- (T/F) When comparing 2 means, Ho
does not have to be set up in a "no difference" fashion.
- In Excerpt 10.17, altogether how many men and women were involved
in the study?
- The means of 2 independent samples can be contrasted via a t-test,
a __-test, or a __-test.
- What do the abbreviations df, SS, and MS stand for?
- In an ANOVA summary table, the calculated value (i.e., F-value) is
computed by dividing MSbetween by _____ .
- In an ANOVA summary table, the total number of subjects in both groups
= dfbetween + dfwithin + ___ .
- How would you know that two sample means are significantly different
from each other if all you're able to look at are the two numerical
values that form the end points of the CI?
Multiple Dependent Variables
- If a researcher has data from 2 groups on 3 dependent variables,
and if he/she wants use a t-test to compare the means of the groups,
how many t-tests would the researcher perform?
- In Excerpt 10.15, the number in parentheses at the end of the final sentence is .008.
What would this number have been if there had been 2 rather than 6 virtues?
- (T/F) The Bonferroni technique cannot be used when there's
only one sample.
- If the pseudo-Bonferroni technique is used by a ".05" researcher
who wants to compare two groups on each of 7 dependent variables, what
revised alpha level would he/she probably use?
Effect Size Assessment and Power Analyses
- When conducting a test on one or two means, do most researchers do
something to help them (and their readers) distinguish between statistical
and practical significance?
- In Excerpt 10.9, which two numbers should you compare if you're trying
to determine whether the difference between the two means has "practical
- 6.17 and 2.64
- 4.48 and 2.35
- 6.17 and 4.48
- 2.64 and 2.35
- Suppose a researcher determines that 20 subjects must be in each
sample in order for the statistical comparison of 2 sample means to
have a power of .80. In this study, there will be a 20% chance
of a Type __ error.
- What 4 underlying assumptions are associated with t-, z-, or F-tests
that compare 2 means?
- (T/F) If a researcher tests an underlying assumption, he/she hopes
to reject the assumption's null hypothesis.
- In Excerpt 10.15, the results of 3 t-tests are reported. In which
of these t-tests do the sample data support most the homogeneity of
- What makes a statistical comparison of two means robust to the equal
- In Excerpt 10.3, the statistical test showed "no significant difference" (with p
= .366). Based on this finding, can the null hypothesis of the z-test be accepted?
- (T/F) The very small p-value in Excerpt 10.9 strongly suggests
that all of the research participants endorsed a smaller number of barriers to exercise
at posttest than they did at pretest.
- The last sentence of Chapter 10 says: "____________ by any of these
techniques, regardless of how bold the researchers' claims might be."
A Few Tougher Questions Over Chapter 10
- (T/F) Whereas a one-tailed test must be used whenever
the null hypothesis deals with a single population, a two-tailed
test must be used whenever the null hypothesis deals with two populations.
- In Excerpt 10.11, would the computed F have turned out larger than 8.510
or smaller than 8.510 if the 2 SDs had been smaller (with
nothing else about the data being changed)?
- The scores summarized in Excerpt 10.1 most likely were
- positively skewed.
- negatively skewed.
- not skewed at all.
- How should the concept of "overlapping distributions" influence
how we interpret the assertion in Excerpt 10.8 that "...girls were more accurate
on no-go trials during the GNG task ... than boys...."?
- Insert "slightly" after the word "were"
- Insert "significantly" after the word "were"
- Insert "far" after the word "were"
- Insert "on average," prior to the word "girls"
- If, in Excerpt 10.21, alpha had been set equal to .01 (rather than
.05), the power analysis would have indicated the need for ___ (more/fewer)
participants in each group.
- If a one-way analysis of variance is used to compare 2 groups of
20 subjects each, and if the SStotal turns out equal to 86
while the MSerror turns out equal to 2, how large would the
calculated value be?
- Look at Excerpt 10.23. Which of the following alpha levels would have made Levene's
test "conservative" in the sense that this alpha would have made it harder for
the researcher to get a desired result from Levene's test?
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