TEST BANK
Statistics in Plain English
5th Edition by Timothy C. Urdan
Complete Chapter Test Bank
are included (Ch 1 to 16)
** Immediate Download
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** All Chapters included
, Test Bank Questions
Chapter 1
1. Suppose I want to know whether adult men and women in America differ in their ability to
remain faithful to their romantic partner (i.e., not cheat on them). So I select a random
sample of 200 college undergraduates (100 men, 100 women) from around the country and
ask them if they have ever cheated on a romantic partner. Sixty percent of the men in my
sample admit to having cheated whereas 45% of the women said they had been unfaithful in
the past. Please answer the following questions based on this study.
A. What is the dependent variable in this study?
Faithfulness, or whether one cheated on a partner.
B. What is the independent variable in this study?
Sex/gender (male, female)
C. How is the independent variable measured (i.e., interval-ratio, nominal/categorical,
ordinal)?
Nominal/categorical
D. In the question I said that I selected my sample(s) randomly. What exactly does that
mean?
It means that every member of the population, i.e., every adult American man
and woman, had an equal chance of being selected to be in the sample.
E. What is/are the population(s), as specified by the research question?
Adult men and women in America. Or, two populations: adult American
women and adult American men.
F. What is/are the sample(s)?
200 college students, half male, from around the country. Or 100 women and
100 men (2 samples).
G. Do you think the sample is a good representation of the population? Explain your
answer.
No. College students tend to be younger, wealthier, and more educated than
most American adults. May influence mating opportunities, morality. College
brings large numbers of men and women together without parental supervision,
and that can certainly influence cheating behaviors.
, H. What type of study is this (experimental, quasi-experimental, correlational,
observational, etc.)? Tell me why you think so?
Correlational. Nothing is being manipulated so it cannot be experimental or
quasi-experimental, and nothing is being observed. It is survey data.
I. Is this study descriptive, inferential, or both? Explain your answer.
Meant to be inferential because want to make inferences about the population
from the sample. But could argue it is both as sample statistics will be
described.
J. Do you believe the results of this study will generalize? Explain your answer.
I would say no because the sample is a bad representation of the population.
On the other hand, I do not have evidence that wealth, age, education level, and
the college environment are related to willingness to be unfaithful, so maybe
results will generalize. I believe the research indicates that college students are
less faithful than older Americans, but I am not sure. I would have to look it
up.
2. Suppose that I want to know how many hot dogs the average American adult eats in a year.
So, I go to a Giants baseball game and ask the first 100 fans I meet how many hot dogs they
eat in a year. I find that the average member of my sample eats 250 hot dogs a year.
A. What type of sample have I selected (i.e., random, convenience, representative)?
Convenience. I took the first 100 fans I met at the game. There is nothing
systematic about this method.
B. Who is my population supposed to be, according to my research question?
American adults, because that is what I say in the research question.
C. What type of study is this, descriptive or inferential?
Inferential, because I am hoping to use data from my sample to reach
conclusions about the larger population.
D. Do you think my results will generalize to the larger population? Tell me why or
why not.
No. My sample came from a baseball game. What do people eat at baseball
games? Hot dogs. So this is a sample of baseball fans, and baseball fans tend to
