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Test Bank — Essentials of Statistics for the Behavioral Sciences, 10th Edition (Gravetter, Wallnau, Forzano & Witnauer, 2020) | All Chapters 1-15 Covered

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Master descriptive statistics, probability, hypothesis testing, t tests, analysis of variance, correlation, regression, and chi-square procedures with this complete Test Bank for Essentials of Statistics for the Behavioral Sciences, 10th Edition by Frederick Gravetter, Larry Wallnau, Lori-Ann Forzano, and James Witnauer. Chapter 1: Introduction to Statistics, Chapter 2: Frequency Distributions, Chapter 3: Central Tendency, Chapter 4: Variability, Chapter 5: z-Scores: Location of Scores and Standardized Distributions, Chapter 6: Probability, Chapter 7: Probability and Samples: The Distribution of Sample Means, Chapter 8: Introduction to Hypothesis Testing, Chapter 9: Introduction to the t Statistic, Chapter 10: The t Test for Two Independent Samples, Chapter 11: The t Test for Two Related Samples, Chapter 12: Introduction to Analysis of Variance, Chapter 13: Two-Factor Analysis of Variance, Chapter 14: Correlation and Regression, and Chapter 15: The Chi-Square Statistic: Tests for Goodness of Fit and Independence, ensuring comprehensive preparation for behavioral science statistics examinations, psychology coursework, social science research methods, and quantitative analysis studies through complete coverage of statistical concepts, data analysis techniques, inferential procedures, and research interpretation.

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TEST BANK
Essentials of Statistics for the Behavioral Sciences
ST

Frederick Gravetter, Larry Wallnau, Lori-Ann Forzano, James Witnauer

────────────────────────────────────────────────────
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10th Edition
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TEST BANK
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ED
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, TABLE OF CONTENTS
Test Bank: Essentials of Statistics for the Behavioral Sciences, 10th Edition
By Frederick Gravetter, Larry Wallnau, Lori-Ann Forzano, James Witnauer
ST

CHAPTER 1 Introduction to Statistics

CHAPTER 2 Frequency Distributions
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CHAPTER 3 Central Tendency

CHAPTER 4 Variability

CHAPTER 5 z-Scores: Location of Scores and Standardized Distributions

CHAPTER 6 Probability
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CHAPTER 7 Probability and Samples: The Distribution of Sample Means

CHAPTER 8 Introduction to Hypothesis Testing
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CHAPTER 9 Introduction to the t Statistic

CHAPTER 10 The t Test for Two Independent Samples

CHAPTER 11 The t Test for Two Related Samples
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CHAPTER 12 Introduction to Analysis of Variance

CHAPTER 13 Two-Factor Analysis of Variance

CHAPTER 14 Correlation and Regression
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CHAPTER 15 The Chi-Square Statistic: Tests for Goodness of Fit and Independence
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ED
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, Chapter 01
1. A researcher uses an anonymous survey to investigate the television-viewing habits of 100 American adolescents. The
researcher plans to make an inference about the television-viewing habits of all American adolescents based on the results
of the survey. The entire group of American adolescents is an example of a .
a. sample
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b. statistic
c. populatio
n
d. parameter
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ANSWER: c
DIFFICULTY: Apply
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Apply

2. A researcher uses an anonymous survey to investigate the social media habits of American college students. Based on
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the set of 300 surveys that were completed and returned, the researcher finds that students spend an average of 2 hours
each day using social media. The set of 300 students who returned surveys is an example of a .
a. parameter
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b. statistic
c. populatio
n
d. sample ANSWER:
d DIFFICULTY:
AP
Apply
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Apply
PR
3. In order for a researcher to obtain a random sample, they need to specifically do which of the following things?
a. rule out confounding variables
b. ensure that each person in the population has an equal chance of being selected for the
sample
c. make certain that results are valid
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d. make sure that each participant has an equal chance of being assigned to each
experimental condition
ANSWER: b
DIFFICULTY: Understand
REFERENCES: 1.1 Statistics, Science, and Observations
ED
KEYWORDS: Bloom’s: Understand

4. In contrast to a datum, which of the following descriptions is most consistent with the concept of data?
a. the mean average of 15 participants’ individual scores on a problem-solving task
b. the percentile that the score of 1 participant on a problem-solving task falls into
??
c. the individual scores of 15 participants on a problem-solving task
d. the individual score of 1 participant on a problem-solving task


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, ANSWER: c
DIFFICULTY: Analyze
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Analyze
ST
5. A researcher is curious about the average monthly car insurance bill for high school students in the state of Florida. If
this average could be obtained, it would be an example of a .
a. parameter
b. statistic
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c. populatio
n
d. sample ANSWER:
a DIFFICULTY:
Apply
REFERENCES: 1.1 Statistics, Science, and Observations
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KEYWORDS: Bloom’s: Apply

6. Which statement below regarding populations is true?
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a. Populations typically are small in size.
b. Populations cannot consist of non-human animal research subjects.
c. The experimental research method should be used to examine
populations.
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d. It usually is challenging to obtain data from every person in a population.
ANSWER: d
DIFFICULTY: Understand
REFERENCES: 1.1 Statistics, Science, and Observations
KEYWORDS: Bloom’s: Understand
PR
7. The relationship between a statistic and a sample is the same as the relationship between .
a. a sample and a population
b. a statistic and a parameter
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c. a parameter and a population
d. descriptive and inferential statistics
ANSWER: c
DIFFICULTY: Understand
REFERENCES: 1.1 Statistics, Science, and Observations
ED
KEYWORDS: Bloom’s: Understand

8. Organizing a set of scores in a table or computing an average to summarize a data set is an example of using .
a. parameters
b. random sampling
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c. descriptive statistics
d. inferential statistics
ANSWER: c

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