Worksheetsnorton
Total questions: 19
Worksheet time: 10mins
Name
Class
Date
1.
In a one-way ANOVA, factor refers to the
a)
dependent variable being measured.
b)
error term in the analysis.
c)
number of participants in a group.
d)
grouping variable or independent variable.
2.
What does the null hypothesis of the one-way ANOVA state?
a)
All participants in all of the levels come from the same underlying population.
b)
Each group has a unique distribution that is unrelated to the others.
c)
At least one group mean is significantly different from the rest.
d)
The independent variable has a strong effect on the dependent variable.
3.
If you are comparing student test scores across three different teaching methods, how many levels does the factor have?
a)
3
b)
2
c)
1
d)
4
4.
In a 2 x 3 factorial design, how many independent variables (factors) are being tested?
a)
1
b)
2
c)
3
d)
5
5.
In a 2 x 2 factorial ANOVA, how many main effects and interactions are possible?
a)
2 main effects and 1 interaction
b)
1 main effect and 2 interactions
c)
2 main effects and 2 interactions
d)
3 main effects and 1 interaction
6.
What is the main advantage of using a factorial ANOVA instead of running multiple one-way ANOVAs?
4 lines
7.
The three core assumptions of a one-way ANOVA are
a)
normal distribution, homogeneity of variance, and linearity.
b)
equal group sizes, independence, and normality.
c)
random sampling, equal means, and homogeneity of variance.
d)
homogeneity of variance, independence, and normality.
8.
Achieving statistical significance in an ANOVA test tells you
a)
which specific group is different from the others.
b)
that all group means are significantly different from one another.
c)
that at least one group mean is different, but not which one(s).
d)
that your sample size is too large.
9.
Which of the following η² values would indicate a large effect size according to general guidelines?
a)
0.01
b)
0.06
c)
0.14
d)
0.8
10.
What does a post hoc test help control for in multiple comparisons?
a)
sample size bias
b)
Type I error
c)
Type II error
d)
effect size overestimation
11.
If a one-way ANOVA has only two groups, what should you do?
a)
Use a post hoc test to find differences.
b)
Skip the ANOVA and use a t test.
c)
Always use Tukey’s test.
d)
Use multiple ANOVAs to confirm results.
12.
In the context of a one-way ANOVA, what does the family-wise error rate refer to?
a)
the probability that all group means are equal
b)
the likelihood of a Type II error for one comparison
c)
the error caused by unequal sample sizes across groups
d)
the increased risk of making a Type I error when conducting multiple post hoc comparisons
13.
Which of the following research questions is best addressed using a chi-square test of independence?
a)
Does average job satisfaction differ between remote and in-office workers?
b)
Are religious affiliations related to political party registration?
c)
Is the average number of hours worked different between professions?
d)
Can income level predict attitudes toward tax policy?
14.
What is the null hypothesis in a chi-square goodness-of-fit test?
a)
The means of the groups are equal.
b)
There is a linear relationship between the variables.
c)
The distribution of data is random.
d)
The independent variable predicts the dependent variable.
15.
A marketing student wants to know whether there is a relationship between age and shopping preference (online vs. in-store)... primary issue?
a)
Chi-square tests can only be used when both variables are ordinal.
b)
The age variable should be converted into categories before using a chi-square.
c)
A chi-square is not appropriate because the study has only two groups.
d)
Chi-square tests require equal group sizes.
16.
Which of the following best describes a parameter in statistics?
a)
a characteristic of a sample
b)
a variable that changes during an experiment
c)
a numerical summary of a population
d)
a measurement of central tendency for ordinal data
17.
A nonprofit records volunteer (Yes/No) and age category... best statistical approach?
a)
independent-samples t test
b)
chi-square test of independence
c)
one-way ANOVA
d)
chi-square goodness-of-fit
18.
City officials... bus depot & asthma... conclusion?
a)
Living near a bus depot causes asthma.
b)
There is a nonrandom association.
c)
People who live farther are healthier.
d)
Average asthma cases were significantly higher.
19.
Which distinguishes chi-square tests?
a)
Use GOF when comparing two categorical variables...
b)
Use independence when testing one variable...
c)
GOF only when ordinal; independence when nominal.
d)
GOF compares distribution of one categorical variable; independence tests relation of two.
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