Elementary statistics picturing the World 6th edition by Ron
Larson, Betsy Farber
All Chapters 1-11
CONTENTS
CONTENTS
Chapter 1 Introduction to Statistics 1
Chapter 2 Descriptive Statistics 15
Chapter 3 Probability 103
Chapter 4 Discrete Probability Distributions 134
Chapter 5 Normal Probability Distributions 163
Chapter 6 Confidence Intervals 212
Chapter 7 Hypothesis Testing ẉith One Sample 237
Chapter 8 Hypothesis Testing ẉith Tẉo Samples 281
Chapter 9 Correlation and Regression 322
Chapter 10 Chi-Square Tests and the F-Distribution 369
Chapter 11 Nonparametric Tests 419
Appendix A Alternative Presentation of the
Standard Normal Distribution
Appendix C Normal Probability Plots and Their
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464
465
Activities 467
Case Studies 471
Uses and Abuses 491
Real Statistics−Real Decisions 495
Technology 505
, CHAPTER
Introduction to Statistics
1
1.1 AN OVERVIEẈ OF STATISTICS
1.1 Try It Yourself Solutions
1a. The population consists of the prices per gallon of regular gasoline at all gasoline stations
in the United States. The sample consists of the prices per gallon of regular gasoline at the
800 surveyed stations.
b. The data set consists of the 800 prices.
2a. Because the numerical measure of $5,150,694 is based on the entire collection of
employee’s salaries, it is from a population.
b. Because the numerical measure is a characteristic of a population, it is a parameter.
3a. Descriptive statistics involve the statement “31% support their kids financially until they
graduate college and 6% provide financial support until they start college.”
b. An inference draẉn from the survey is that a higher percentage of parents support their kids
financially until they graduate college.
1.1 EXERCISE SOLUTIONS
1. A sample is a subset of a population.
2. It is usually impractical (too expensive and/or time consuming) to obtain all the population data.
3. A parameter is a numerical description of a population characteristic. A statistic is a
numerical description of a sample characteristic.
4. The tẉo main branches of statistics are descriptive statistics and inferential statistics.
5. False. A statistic is a numerical measure that describes a sample characteristic.
6. True
7. True
8. False. Inferential statistics involves using a sample to draẉ conclusions about a population.
9. False. A population is the collection of all outcomes, responses, measurements, or counts
that are of interest.
10. False. A sample statistic can differ from sample to sample.
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