Weiss Introductory Statistics About The Book
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New and Enhanced Features [ TOP ]
  • New Case Studies: Throughout the text, Weiss includes new and revised Case Study Chapter Openers. These case studies are introduced at the beginning of the chapter and discussed at the end showing students the links between the subject matter and how the material can be used in real life.

  • Integration of Technology: The integration of technology has now been expanded in this edition. Not only has the author integrated the latest version of Minitab® Rel. 12, but has now provided support for using the TI-83 graphing calculator and Excel spreadsheets.

  • Exercises: Many new and revised exercises allow students to pursue questions that are conceptual in nature. More advanced problems require students to synthesize and interpret information. Many of the technology exercises use new and current data.

  • Internet Projects: These new end-of-chapter projects lead students to use the Internet for data research and access to statistical simulations.

  • Content Changes:
    • Earlier chapters are streamlined so that the text is more easily adaptable for different length courses.
    • New chapter 11 on Inferences for Population Standard Deviations
    • Chapters on Regression, Correlation, and ANOVA are more introductory in nature. Modular chapters provide a more in-depth exploration of these topics, as well as Experimental Design.


Continued Features [ TOP ]
  • Step by Step Approach: Weiss takes a step by step approach to statistics covering topics, procedures, and techniques thoroughly and precisely. No assumptions are made as to students abilities, which ensures that they cover all need material.

  • Data: In most examples and exercises, the author has presented raw data in addition to summary statistics. This gives a more realistic view of statistics and provides an opportunity for the problems to be solved by computer if desired. Data sets are available on disk in the back of the text.


Table of Contents [ TOP ]

PART I: INTRODUCTION

Chapter 1: The Nature of Statistics
1.1 Two Kinds of Statistics
1.2 Classifying Statistical Studies
1.3 The Development of Statistics
1.4 Using the Computer*
1.5 Is a Study Necessary?
1.6 Simple Random Sampling
1.7 Other Sampling Procedures
1.8 Experimental Design
Chapter Review, Review Test, Internet Project, Using the Focus Database, Case Study Discussion, Biography

PART II: DESCRIPTIVE STATISTICS

Chapter 2: Organizing Data
2.1 Variables and Data
2.2 Grouping Data
2.3 Graphs and Charts
2.4 Stem-and-Leaf Diagrams
2.5 Distribution Shapes; Symmetry and Skewness
2.6 Misleading Graphs
Chapter Review, Review Test, Internet Project, Using the Focus Database, Case Study Discussion, Biography

Chapter 3: Descriptive Measures
3.1 Measures of Center
3.2 The Sample Mean
3.3 Measures of Variation; the Sample Standard Deviation
3.4 The Five-Number Summary; Boxplots
3.5 Descriptive Measures for Populations; Use of Samples
Chapter Review, Review Test, Internet Project, Using the Focus Database, Case Study Discussion, Biography

PART III PROBABILITY, RANDOM VARIABLES, AND SAMPLING DISTRIBUTIONS

Chapter 4: Probability Concepts
4.1 Probability Basics
4.2 Events
4.3 Some Rules of Probability
4.4 Contingency Tables; Joint and Marginal Probabilities*
4.5 Conditional Probability*
4.6 The Multiplication Rule; Independence*
4.7 Bayes's Rule*
4.8 Counting Rules*
Chapter Review, Review Test, Internet Project, Using the Focus Database, Case Study Discussion, Biography

Chapter 5: Discrete Random Variables*
5.1 Discrete Random Variables; Probability Distributions*
5.2 The Mean and Standard Deviation of a Discrete Random Variable*
5.3 The Binomial Distribution*
5.4 The Poisson Distribution*
Chapter Review, Review Test, Internet Project, Using the Focus Database, Case Study Discussion, Biography

Chapter 6: The Normal Distribution
6.1 Introducing Normally Distributed Variables
6.2 Areas Under the Standard Normal Curve
6.3 Working With Normally Distributed Variables
6.4 Assessing Normality; Normal Probability Plots
6.5 The Normal Approximation to the Binomial Distribution*
Chapter Review, Review Test, Internet Project, Using the Focus Database, Case Study Discussion, Biography

Chapter 7: The Sampling Distribution of the Mean
7.1 Sampling Error; the Need for Sampling Distributions
7.2 The Mean and Standard Deviation of x
7.3 The Sampling Distribution of the Mean
Chapter Review, Review Test, Internet Project, Using the Focus Database, Case Study Discussion, Biography

PART IV: INFERENTIAL STATISTICS

Chapter 8: Confidence Intervals for One Population Mean
8.1 Estimating a Population Mean
8.2 Confidence Intervals for One Population Mean When o Is Known
8.3 Margin of Error
8.4 Confidence Intervals for One Population Mean When o Is Unknown
Chapter Review, Review Test, Internet Project, Using the Focus Database, Case Study Discussion, Biography

Chapter 9: Hypothesis Testing for One Population Mean
9.1 The Nature of Hypothesis Testing
9.2 Terms, Errors, and Hypotheses
9.3 Hypothesis Tests for One Population Mean When o Is Known
9.4 Type II Error Probabilities; Power*
9.5 P-Values
9.6 Hypothesis Tests for One Population Mean When o Is Unknown
9.7 The Wilcoxon Signed-Rank Test*
9.8 Which Procedure Should Be Used?*
Chapter Review, Review Test, Internet Project, Using the Focus Database, Case Study Discussion, Biography

Chapter 10: Inferences for Two Population Means
10.1 The Sampling Distribution of the Difference Between Two Means for Independent Samples
10.2 Inferences for Two Population Means Using Independent Samples (Standard Deviations Assumed Equal)
10.3 Inferences for Two Population Means Using Independent Samples (Standard Deviations Not Assumed Equal)
10.4 The Mann-Whitney Test*
10.5 Inferences for Two Population Means Using Paired Samples
10.6 The Paired Wilcoxon Signed-Rank Test*
10.7 Which Procedure Should Be Used?*
Chapter Review, Review Test, Internet Project, Using the Focus Database, Case Study Discussion, Biography

Chapter 11: Inferences for Population Standard Deviations*
11.1 Inferences for One Population Standard Deviation*
11.2 Inferences for Two Population Standard Deviations Using Independent Samples*
Chapter Review, Review Test, Internet Project, Using the Focus Database, Case Study Discussion, Biography

Chapter 12: Inferences for Population Proportions
12.1 Confidence Intervals for One Population Proportion
12.2 Hypothesis Tests for One Population Proportion
12.3 Inferences for Two Population Proportions Using Independent Samples
Chapter Review, Review Test, Internet Project, Using the Focus Database, Case Study Discussion, Biography

Chapter 13: Chi-Squared Procedures
13.1 The Chi-Square Distribution
13.2 Chi-Square Goodness-Of-Fit Test
13.3 Contigency Tables; Association
13.4 Chi-Square Independence Test
Chapter Review, Review Test, Internet Project, Using the Focus Database, Case Study Discussion, Biography

PART V: REGRESSION, CORRELATION, AND ANOVA

Chapter 14: Descriptive Methods in Regression and Correlation
14.1 Linear Equations with One Independent Variable
14.2 The Regression Equation
14.3 The Coefficient of Determination
14.4 Linear Correlation
Chapter Review, Review Test, Internet Project, Using the Focus Database, Case Study Discussion, Biography

Chapter 15: Inferential Methods in Regression and Correlation
15.1 The Regression Model; Analysis of Residuals
15.2 Inferences for the Slope of the Population Regression Line
15.3 Estimation and Prediction
15.4 Inferences in Correlation
15.5 Testing for Normality*
Chapter Review, Review Test, Internet Project, Using the Focus Database, Case Study Discussion, Biography

Chapter 16: Analysis of Variance (ANOVA)
16.1 The F-Distribution
16.2 One-Way ANOVA: The Logic
16.3 One-Way ANOVA: The Procedure
16.4 Multiple Comparisons*
16.5 The Kruskal-Wallis Test*
Chapter Review, Review Test, Internet Project, Using the Focus Database, Case Study Discussion, Biography

Optional Modular Chapters
Available as Supplements or Custom Additions to the text.

PART VI: MULTIPLE REGRESSION AND MODEL BUILDING; EXPERIMENTAL DESIGN AND ANOVA

Module A: Multiple Regression Analysis (ISBN: 0-201-43710-4)
A.1 The Multiple Linear Regression Model
A.2 Estimation of the Regression Parameters
A.3 Inferences Concerning the Utility of the Regression Model
A.4 Inferences Concerning the Utility of Particular Predictor Variables
A.5 Confidence Intervals for Mean Response; Prediction Intervals for Response
A.6 Checking Model Assumptions and Residual Analysis
Module Review, Review Test, Internet Project, Using the Focus Database, Case Study Discussion, Answers to Selected Exercises, Index

Module B: Model Building in Regression (ISBN: 0-201-43711-2)
B.1 Transformations to Remedy Model Violation
B.2 Polynomial Regression Model
B.3 Qualitative Predictor Variables
B.4 Multicollinearity
B.5 Model Selection: Stepwise Regression
B.6 Model Selection: All Subsets Regression
B.7 Pitfalls and Warnings
Module Review, Review Test, Internet Project, Using the Focus Database, Case Study Discussion, Answers to Selected Exercises, Index

Module C: Design of Experiments and Analysis of Variance (ISBN: 0-201-43715-5)
C.1 Factorial Designs
C.2 Two-Way ANOVA: The Logic
C.3 Two-Way ANOVA: The Procedure
C.4 Two-Way ANOVA: Multiple Comparisons
C.5 Randomized Block Designs
C.6 Randomized Block ANOVA: The Logic
C.7 Randomized Block ANOVA: The Procedure
C.8 Randomized Block ANOVA: Multiple Comparisons
C.9 Friedman's Nonparametric Test for the Randomized Block Design
Module Review, Review Test, Internet Project, Using the Focus Database, Case Study Discussion, Answers to Selected Exercises, Index

APPENDIXES

Appendix A: Statistical Tables
I Random numbers
II Areas under the standard normal curves
III Normal scores
IV Values of t.gif
V Critical Values for a Wilcoxon signed-rank test
VI Critical values for a one-tailed Mann-Whitney test with =0.025 or a two-tailed Mann-Whitney test with =0.05
VII Critical values for a one-tailed Mann-Whitney test with =0.05 or a two-tailed Mann-Whitney test with =0.10
VIII Values of c.gif
IX Values of f.gif
X Critical Values for a correlation test for normality
XI Values of q0.01
XII Values of q0.05

Appendix B: Answers to Selected Exercises


Supplements [ TOP ]

Student's Solutions Manual: 0-201-88322-8
Instructor's Solutions Manual: 0-201-88321-X
Printed Test Bank: 0-201-88325-2
Power Point Slides: 0-201-88323-6
Minitab Lab Manual: 0-201-88324-4
TI-83 Lab Manual: 0-201-39863-X
TestGen EQ Win: 0-201-39864-8
TestGen EQ Mac: 0-201-39865-6
Data Sets CD: 0-201-88328-7
ActivStats: 0-201-31068-6


Introductory Stat's, 5/e and Elementary Stat's, 4/e Comparison [ TOP ]

Following are the major differences between the books Introductory Statistics 5/e (IS5) and Elementary Statistics 4/e (ES4), both by Neil A. Weiss, Reading, MA: Addison-Wesley, 1999.
  • All material found in ES4 is also contained in IS5, but not conversely. Thus, ES4 may be considered an abridged version of IS5.
  • ES4 does not contain a presentation of nonparametric methods, whereas IS5 does present these methods (see Section 9.7).
  • The chapter on descriptive methods in regression and correlation occurs early in ES4 (Chapter 4). On the other hand, it occurs late in IS5 (Chapter 14). Note, however, that IS5 has been written so that Chapter 14 can be covered immediately after Chapter 3 ("Descriptive Measures"). And, similarly, ES4 has been written so that Chapter 4 can be covered later.
  • In IS5 the material on probability and random variables is covered in two separate chapters (Chapters 4 and 5). But in ES4 that material is abridged and combined into a single chapter (Chapter 5). The following optional sections appear in IS5 but do not appear at all in ES4:
    • Contingency Tables; Joint and Marginal Probabilities (Section 4.4 of IS5)
    • Conditional Probability (Section 4.5 of IS5)
    • The Multiplication Rule; Independence (Section 4.6 of IS5)
    • Bayes's Rule (Section 4.7 of IS5)
    • Counting Rules (Section 4.8 of IS5)
    • The Poisson Distribution (Section 5.4 of IS5)
  • Brief coverage (one or two class periods) of probability and random variables is available in both books. Optional sections are indicated with an asterisk.
  • ES4 does not contain a section on the normal approximation to the binomial distribution, whereas IS5 does (Section 6.5).
  • The following optional sections appear in the chapter on hypothesis tests for one population mean (Chapter 9) in IS5 but do not appear at all in ES4:
    • Type II Error Probabilities; Power (Section 9.4 of IS5)
    • The Wilcoxon Signed-Rank Test (Section 9.7 of IS5)
    • Which Procedure Should be Used? (Section 9.8 of IS5)
  • The following optional sections appear in the chapter on inferences for two population means (Chapter 10) in IS5 but do not appear at all in ES4:
    • The Mann-Whitney Test (Section 10.4 of IS5)
    • The Paired Wilcoxon Signed-Rank Test (Section 10.6 of IS5)
    • Which Procedure Should be Used? (Section 10.7 of IS5)
  • ES4 does not contain a chapter on inferences for population standard deviations (or variances), whereas IS5 does (Chapter 11).
  • ES4 does not contain a section on testing for normality, whereas IS5 does (Section 15.5).
  • The following optional sections appear in the chapter on analysis of variance in IS5 but do not appear at all in ES4:
    • Multiple Comparisons (Section 16.4 of IS5)
    • The Kruskal-Wallis Test (Section 16.5 of IS5)


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