Accredited Test Bank Solution For
Fundamental Statistics for the Social and
Behavioral Sciences, 2nd Edition
Tokunaga [All Lessons Included]
Complete Chapter Solution Manual
are Included (Ch.1 to Ch.15)
• Rapid Download
• Quick Turnaround
• Complete Chapters Provided
, Table of Contents are Given Below
"Fundamental Statistics for the Social and Behavioral Sciences" (2nd Edition) by Howard T. Tokunaga is
structured to provide a comprehensive understanding of statistical concepts within the context of social and
behavioral sciences. The chapters are organized as follows:
1. Introduction to Statistics and Research in the Social and Behavioral Sciences
2. Frequency Distributions and Graphs
3. Measures of Central Tendency
4. Measures of Variability
5. Standard Scores and the Normal Distribution
6. Probability and Sampling Distributions
7. Estimation and Confidence Intervals
8. Hypothesis Testing: One-Sample Designs
9. Hypothesis Testing: Two-Sample Designs
10. Analysis of Variance (ANOVA)
11. Factorial ANOVA
12. Correlation
13. Regression
14. Chi-Square Tests
15. Nonparametric Tests
This structured approach integrates statistical methods with research processes, illustrating how statistics are
utilized to answer questions and test hypotheses in the social and behavioral sciences. Each chapter includes
learning checks, review questions, and exercises to reinforce understanding.
CHAPTER 1: INTRODUCTION TO STATISTICS AND RESEARCH IN THE SOCIAL AND BEHAVIORAL
SCIENCES
1. Which of the following best defines statistics?
A) The study of historical events.
B) The science of collecting, organizing, analyzing, and interpreting data.
PAGE 1
,C) The art of persuasive writing.
D) The practice of conducting experiments in a laboratory.
Answer: B
Explanation: Statistics is defined as the science of collecting, organizing, analyzing, and interpreting data. It is
fundamental in making informed decisions based on data analysis.
2. What distinguishes descriptive statistics from inferential statistics?
A) Descriptive statistics make predictions, while inferential statistics summarize data.
B) Descriptive statistics summarize data, while inferential statistics make predictions or inferences about a
population.
C) Both are used to make predictions about future events.
D) They are interchangeable terms.
Answer: B
Explanation: Descriptive statistics are used to summarize and describe the features of a dataset, whereas
inferential statistics are used to make predictions or inferences about a larger population based on a sample.
3. Which of the following is an example of qualitative data?
A) Number of students in a class.
B) Test scores of students.
C) Types of fruits in a basket.
D) Heights of basketball players.
Answer: C
Explanation: Qualitative data describes qualities or characteristics and is non-numerical. "Types of fruits" is a
qualitative variable, whereas the others are quantitative.
4. In research, what is a hypothesis?
A) A proven fact.
PAGE 2
, B) A tentative statement about the relationship between variables.
C) A summary of the data collected.
D) A statistical test used to analyze data.
Answer: B
Explanation: A hypothesis is a tentative statement that proposes a possible relationship between variables,
which can be tested through research and experimentation.
5. What is the primary goal of research in the social and behavioral sciences?
A) To entertain the audience.
B) To develop new theories without testing existing ones.
C) To systematically investigate and understand human behavior and social phenomena.
D) To collect as much data as possible without analysis.
Answer: C
Explanation: The primary goal of research in these fields is to systematically investigate, understand, and
explain human behavior and social phenomena through scientific methods.
6. Which of the following best describes a population in statistical terms?
A) A single individual or case.
B) A subset of data used for analysis.
C) The entire group about which information is desired.
D) Data collected from an experiment.
Answer: C
Explanation: In statistics, a population refers to the entire group about which information is sought, as opposed
to a sample, which is a subset of the population.
7. What is a sample in research?
A) The entire group being studied.
PAGE 3
Fundamental Statistics for the Social and
Behavioral Sciences, 2nd Edition
Tokunaga [All Lessons Included]
Complete Chapter Solution Manual
are Included (Ch.1 to Ch.15)
• Rapid Download
• Quick Turnaround
• Complete Chapters Provided
, Table of Contents are Given Below
"Fundamental Statistics for the Social and Behavioral Sciences" (2nd Edition) by Howard T. Tokunaga is
structured to provide a comprehensive understanding of statistical concepts within the context of social and
behavioral sciences. The chapters are organized as follows:
1. Introduction to Statistics and Research in the Social and Behavioral Sciences
2. Frequency Distributions and Graphs
3. Measures of Central Tendency
4. Measures of Variability
5. Standard Scores and the Normal Distribution
6. Probability and Sampling Distributions
7. Estimation and Confidence Intervals
8. Hypothesis Testing: One-Sample Designs
9. Hypothesis Testing: Two-Sample Designs
10. Analysis of Variance (ANOVA)
11. Factorial ANOVA
12. Correlation
13. Regression
14. Chi-Square Tests
15. Nonparametric Tests
This structured approach integrates statistical methods with research processes, illustrating how statistics are
utilized to answer questions and test hypotheses in the social and behavioral sciences. Each chapter includes
learning checks, review questions, and exercises to reinforce understanding.
CHAPTER 1: INTRODUCTION TO STATISTICS AND RESEARCH IN THE SOCIAL AND BEHAVIORAL
SCIENCES
1. Which of the following best defines statistics?
A) The study of historical events.
B) The science of collecting, organizing, analyzing, and interpreting data.
PAGE 1
,C) The art of persuasive writing.
D) The practice of conducting experiments in a laboratory.
Answer: B
Explanation: Statistics is defined as the science of collecting, organizing, analyzing, and interpreting data. It is
fundamental in making informed decisions based on data analysis.
2. What distinguishes descriptive statistics from inferential statistics?
A) Descriptive statistics make predictions, while inferential statistics summarize data.
B) Descriptive statistics summarize data, while inferential statistics make predictions or inferences about a
population.
C) Both are used to make predictions about future events.
D) They are interchangeable terms.
Answer: B
Explanation: Descriptive statistics are used to summarize and describe the features of a dataset, whereas
inferential statistics are used to make predictions or inferences about a larger population based on a sample.
3. Which of the following is an example of qualitative data?
A) Number of students in a class.
B) Test scores of students.
C) Types of fruits in a basket.
D) Heights of basketball players.
Answer: C
Explanation: Qualitative data describes qualities or characteristics and is non-numerical. "Types of fruits" is a
qualitative variable, whereas the others are quantitative.
4. In research, what is a hypothesis?
A) A proven fact.
PAGE 2
, B) A tentative statement about the relationship between variables.
C) A summary of the data collected.
D) A statistical test used to analyze data.
Answer: B
Explanation: A hypothesis is a tentative statement that proposes a possible relationship between variables,
which can be tested through research and experimentation.
5. What is the primary goal of research in the social and behavioral sciences?
A) To entertain the audience.
B) To develop new theories without testing existing ones.
C) To systematically investigate and understand human behavior and social phenomena.
D) To collect as much data as possible without analysis.
Answer: C
Explanation: The primary goal of research in these fields is to systematically investigate, understand, and
explain human behavior and social phenomena through scientific methods.
6. Which of the following best describes a population in statistical terms?
A) A single individual or case.
B) A subset of data used for analysis.
C) The entire group about which information is desired.
D) Data collected from an experiment.
Answer: C
Explanation: In statistics, a population refers to the entire group about which information is sought, as opposed
to a sample, which is a subset of the population.
7. What is a sample in research?
A) The entire group being studied.
PAGE 3
