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Statistics: Informed Decisions Using Data 3/e (絕)

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ISBN：9780321610966
作者：Michael Sullivan
版次：3
年份：2009
出版商：Pearson Education

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New to This Edition

More than 45% new and updated exercises give instructors a variety of exercises to choose from when assigning homework. Most exercises require students to write a few sentences to explain the meaning of their statistical analysis results.
More than 60% new and updated examples continue to engage students and provide clear, concise explanations with the Problem, Approach, Solution presentation.
Preparing for this Section quizzes verify that students have the prerequisite knowledge for the next section, and include page numbers for quick reference.
You Explain It! problems within select “Applying the Concepts” sections require students to explain the meaning of statistical results in their own words.
Putting It Together problems at the end of each exercise set synthesize many of the topics already covered.
Chapter Review answers are now available at the back of the book.
Chapter Tests help students prepare for exams.
Technology Answers are now included where they differ from by-hand answers.
Expanded content includes a discussion of the differences between observational studies and designed experiments, including the various types of observational studies.

Content updates

Section 1.3 presents random sampling and simple random sampling.
Chapter 2 now includes an increased emphasis on reading and interpreting graphs.
Chapter 3 offers a presentation of quartiles that emphasizes conceptually what quartiles represent.
Chapter 4 contains expanded coverage of correlation versus causation and coverage of Simpson's Paradox.
Chapter 5 now emphasizes using tree diagrams to determine probabilities and interpretation of a probability. A new Putting It Together section summarizing the various techniques for computing probabilities includes two flowcharts to help students choose a method for determining probabilities.
Chapter 6 emphasizes using probabilities to identify unusual results.
Chapter 8 includes more relevant examples that utilize simulation to demonstrate the sampling distribution of the sample mean; a new activity develops the concept of the mean and standard deviation of the sampling distribution of the sample mean, and problems foreshadow the concept of a P-value.
Chapter 9 clarifies the interpretation of “level of confidence,” and features a discussion of bootstrapping, an algorithm for generating bootstrap samples, and methods for estimating the population proportion when the normality condition is not satisfied.
Chapter 10 problems are written in everyday language that leads to a hypothesis test, with an emphasis on using confidence intervals to test hypotheses.
Chapter 11 includes McNemar's test for comparing two population proportions from dependent sampling, asking students to decide on the appropriate test.
Chapter 12 exercises feature more relevant and interesting data sets, as well as an emphasis on examining conditional distributions to identify the major contributors to the size of the chi-square test statistic.
Chapter 13 offers an updated discussion of one-way analysis of variance that emphasizes the logic behind the procedure.
The Companion CD-ROM includes Data Sets formatted for MINITAB®, Excel®, the TI-83/84, JMP®, SPSS® and TXT; 20 Applets; DDXL Excel add-in to enhance Excel's statistics capabilities; Formula and Table Card in PDF format, and an Additional Topics Folder including Sections 4.5, 5.7, 6.4, Chapter 15, and Appendix B. The CD-ROM is included with every new copy of the book.

Table of Contents
PART 1. GETTING THE INFORMATION YOU NEED
1. Data Collection
PART 2. DESCRIPTIVE STATISTICS
2. Organizing and Summarizing Data
3. Numerically Summarizing Data
4. Describing the Relation between Two Variables
PART 3. PROBABILITY AND PROBABILITY DISTRIBUTIONS
5. Probability
6. Discrete Probability Distributions
7. The Normal Probability Distribution
PART 4. INFERENCE: FROM SAMPLES TO POPULATION
8. Sampling Distributions
9. Estimating the Value of a Parameter Using Confidence Intervals
10. Hypothesis Tests Regarding a Parameter
11. Inferences on Two Samples
12. Inference on Categorical Data
13. Comparing Three or More Means
14. Inference on the Least-Squares Regression Model and Multiple Regression
15. Nonparametric Statistics (on CD)

With training in mathematics, statistics, and economics, Mike Sullivan, III has a varied teaching background that includes 15 years of instruction in both high school and college-level mathematics. He is currently a full-time professor of mathematics and statistics at Joliet Junior College. Mike has numerous textbooks in publication in addition to his Introductory Statistics Series, which include a Developmental Math series, and a Precalculus series, which he writes with his father, Michael Sullivan. Mike has built this book in the classroom using feedback from his students. He is well aware of the challenges of students taking an introductory statistics course. His goal is for students to be more informed interpreters of data, so that they will be better decision makers and have stronger critical-thinking skills. When not in the classroom or writing, Michael enjoys spending time with his three children, Michael, Kevin, and Marissa, and playing golf.