First Edition by Andy Field
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, Field et al., Discovering Statistics Using JASP
SAGE Publishing, 2025
Testbank
Chapter 1: Why is my evil lecturer forcing me to learn
statistics?
1. A café owner decided to calculate how much revenue he gained from lattes each month.
What type of variable would the amount of revenue gained from lattes be?
a. Categorical.
b. Discrete.
c. Nominal.
d. Continuous.
Ans: D
2. A café owner wanted to compare how much revenue he gained from lattes across different
months of the year. What type of variable is ‘month’?
a. Continuous.
b. Categorical.
c. Dependent.
d. Interval.
Ans: B
3. Which of the following best describes a confounding variable?
a. A variable that affects the outcome being measured as well as, or instead of, the
independent variable.
b. A variable that is manipulated by the experimenter.
c. A variable that has been measured using an unreliable scale.
d. A variable that is made up only of categories.
Ans: A
, Field et al., Discovering Statistics Using JASP
SAGE Publishing, 2025
4. If a test is valid, what does this mean?
a. The test will give consistent results.
b. The test has internal consistency.
c. The test measures a useful construct or variable.
d. The test measures what it claims to measure.
Ans: D
5. When questionnaire scores predict or correspond with external measures of the same
construct that the questionnaire measures the questionnaire is said to have:
a. Ecological validity.
b. Content validity.
c. Criterion validity.
d. Factorial validity.
Ans: C
6. When the results of an experiment can be applied to real-world conditions, that experiment
is said to have:
a. Ecological validity.
b. Factorial validity.
c. Content validity.
d. Criterion validity.
Ans: A
7. A variable manipulated by a researcher is known as:
a. A discrete variable.
b. An independent variable.
c. A dependent variable.
d. A confounding variable.
, Field et al., Discovering Statistics Using JASP
SAGE Publishing, 2025
Ans: B
8. A variable that measures the effect that manipulating another variable has is known as:
a. A predictor variable.
b. An independent variable.
c. A dependent variable.
d. A confounding variable.
Ans: C
9. A predictor variable is another name for:
a. An independent variable.
b. A dependent variable.
c. A confounding variable.
d. A discrete variable.
Ans: A
10. The discrepancy between the numbers used to represent something that we are trying to
measure and the actual value of what we are measuring is called:
a. Reliability.
b. The ‘fit’ of the model.
c. Variance.
d. Measurement error.
Ans: D
11. What kind of variable is IQ, measured by a standard IQ test?
a. Nominal.
b. Continuous.
c. Categorical.
d. Discrete.
, Field et al., Discovering Statistics Using JASP
SAGE Publishing, 2025
Ans: B
12. A frequency distribution in which low scores are most frequent (i.e. bars on the graph are
highest on the left-hand side) is said to be:
a. Positively skewed.
b. Leptokurtic.
c. Platykurtic.
d. Negatively skewed.
Ans: A
13. A frequency distribution in which high scores are most frequent (i.e. bars on the graph
are highest on the right-hand side) is said to be:
a. Leptokurtic.
b. Platykurtic.
c. Negatively skewed.
d. Positively skewed.
Ans: C
14. A frequency distribution in which there are too many scores at the extremes of the
distribution is said to be:
a. Positively skewed.
b. Leptokurtic.
c. Negatively skewed.
d. Platykurtic.
Ans: D
15. A frequency distribution in which there are too few scores at the extremes of the
distribution is said to be:
a. Leptokurtic.
, Field et al., Discovering Statistics Using JASP
SAGE Publishing, 2025
b. Positively skewed.
c. Platykurtic.
d. Negatively skewed.
Ans: A
16. Which of the following is designed to compensate for practice effects?
a. Giving participants a break between tasks.
b. A control condition.
c. Counterbalancing.
d. A repeated-measures design.
Ans: C
17. Variation due to variables that have not been measured is known as:
a. Homogenous variance.
b. Systematic variation.
c. Residual variance.
d. Unsystematic variation.
Ans: D
18. The purpose of a control condition is to:
a. Rule out a tertium quid.
b. Allow inferences about cause.
c. Control for participant characteristics.
d. Show up relationships between predictor variables.
Ans: B
19. If the scores on a test have a mean of 26 and a standard deviation of 4, what is the z-score
for a score of 18?
a. 2
, Field et al., Discovering Statistics Using JASP
SAGE Publishing, 2025
b. –1.41
c. –2
d. 11
Ans: C
20. What is a scientific journal?
a. A collection of peer-reviewed articles written by scientists.
b. A notebook kept by scientists containing important details of all their own experimental
research for future reference.
c. A collection of articles written by scientists that have not yet been reviewed by other
scientists in the field.
d. A piece of scientific research that has not yet been published.
Ans: A
21. The standard deviation is the square root of the:
a. Coefficient of determination.
b. Sum of squares.
c. Range.
d. Variance.
Ans: D
22. Below is a histogram of ratings of Britney Spears’s CD, Britney. What can we say about
the data from this histogram?
, Field et al., Discovering Statistics Using JASP
SAGE Publishing, 2025
a. The data are leptokurtic.
b. The modal score is 5.
c. The data are normally distributed.
d. The median rating was 2.
Ans: B
23. What is the standard deviation?
a. A measure of the dispersion or spread of data around the mean.
b. A measure of the relationship between two variables.
c. The variance squared.
d. The degree to which scores cluster at the ends of the distribution.
Ans: A
24. Complete the following sentence:
A small standard deviation (relative to the value of the mean itself).
, Field et al., Discovering Statistics Using JASP
SAGE Publishing, 2025
a. Indicates that the mean is a poor fit of the data.
b. Indicates that you should analyse your data with a non-parametric test.
c. Indicates that data points are close to the mean (i.e. the mean is a good fit of the data).
d. Indicates that the data points are distant from the mean.
Ans: C
25. Complete the following sentence:
A large standard deviation (relative to the value of the mean itself).
a. Indicates that the data points are close to the mean.
b. Indicates that the mean is a good fit of the data.
c. Indicates that you should analyse your data with a parametric test.
d. Indicates that the data points are distant from the mean (i.e. the mean is a poor fit of the
data).
Ans: D