1.
When examining differences between
proportions, it is appropriate to use which approach to defining the standard
error of the sampling distribution?
A) both approaches are appropriate
B) the pooled-variances approach
C) neither approach is appropriate
D) the separate-variances approach
2. 10. A police department is implementing
a new initiative in different high crime areas throughout the city—they will be
assigning an officer to walk the area for one month. I have been asked to
assess whether the strategy was effective in reducing calls for police service.
I am interesting in the number of calls for service in a specific location
before an officer was assigned to walk the area and after an officer was
assigned to walk the area. What type of statistical technique would I use?
A) T-test for independent samples
B) F-test
C) T-test for dependent samples
D) There is no way to make the comparison.
E) Chi-square test of independence
3.
Typically, when using a t-test to compare
means, what level of measurement is the independent variable?
A) Ordinal
B) Interval
C) Nominal
D) Ratio
4.
When the samples are relatively large or
are evenly divided, the estimates of the standard error using the
pooled-variances and separate-variances approaches will be _____.
A) Exactly equal
B) Similar
C) Statistically significant
D) Dissimilar
5.
Why can we use a normal sampling
distribution to test hypotheses involving proportions?
A) because the mean and standard deviation
are appropriate statistics to use with proportions
B) because as N increases the sampling
distribution of a proportion approximates a normal curve
C) because proportions are ratio-level
measures
D) all the answers given
6.
I am getting ready to calculate and
independent sample t-test. I have assumed homoscedasticity. What am I assuming?
A) That I fail to reject the null
hypothesis.
B) That the standard deviations of the two
groups are not equal
C) That the standard deviations of the two
groups are equal
D) That I reject the null hypothesis.
7.
A two-sample t-test…
A) compares two samples to one another
B) compares a sample to a known population
C) compares apples and oranges
D) compares a sample to an unknown
population
8.
I have completed an F-test and rejected the
null hypothesis. What does this mean?
A) I can reject the null hypothesis of no
difference between two independent means.
B) I can assume homoscedasticity.
C) I cannot assume homoscedasticity.
D) I can use the pooled variance estimate
of t.
9.
The null hypothesis for a difference of
means test is generally what?
A) that there are no means
B) that the means are the same
C) that the means are not the same
D) none of the choices given
10.
The assumption that population
distributions have equal standard deviations is known as what?
A) homoscedasticity
B) multicolinearity
C) discordancy
D) heteroscedasticity
11.
One of the requirements of the two-sample
t-test is that the samples examined be what?
A) proportionate
B) independent
C) equal
D) representative
12.
To perform a t-test comparing means, what
“minimal” level of measurement must your dependent variable be?
A) Interval
B) Nominal
C) Ratio
D) Ordinal
13.
A “dependent samples T Test” is
used for what type of two samples? (Select all that apply)
A) Control and treatment
B) Matched
C) Independent
14.
The pooled-variance approach to calculating
the standard error assumes that the population distributions have _____
variances.
A) large
B) small
C) unequal
D) equal
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