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Introductory Statistics

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ISBN-10: 0321897196

ISBN-13: 9780321897190

Edition: 9th 2012

Authors: Neil A. Weiss

List price: $229.20
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Description:

Weiss’sIntroductory Statistics, Ninth Editionis the ideal textbook for introductory statistics classes that emphasize statistical reasoning and critical thinking. The text is suitable for a one- or two-semester course. Comprehensive in its coverage, Weiss’s meticulous style offers careful, detailed explanations to ease the learning process. With more than 1,000 data sets and more than 2,600 exercises, most using real data, this text takes a data-driven approach that encourages students to apply their knowledge and develop statistical literacy. Introductory Statistics, Ninth Edition, contains parallel presentation of critical-value andp-value approaches to hypothesis testing. This unique…    
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Book details

List price: $229.20
Edition: 9th
Copyright year: 2012
Publisher: Addison Wesley
Publication date: 8/12/2012
Binding: Mixed Media
Size: 8.75" wide x 11.25" long x 1.75" tall
Weight: 4.312
Language: English

Preface
Course Management Notes (Instructor's Edition only)
Supplements
Technology Resources
Data Sources
Introduction
the Nature of Statistics
Statistics Basics
Simple Random Sampling
Other Sampling Designs
Experimental Designs
Descriptive Statistics
Organizing Data
Variables and Data
Organizing Qualitative Data
Organizing Quantitative Data
Distribution Shapes
Misleading Graphs
Descriptive Measures
Measures of Center
Measures of Variation
the Five-Number Summary; Boxplots
Descriptive Measures for Populations; use of Samples
Probability, Random Variables, and Sampling Distributions
Probability Concepts
Probability Basics
Events
Some Rules of Probability
Contingency Tables; Joint and Marginal Probabilities
Conditional Probability
the Multiplication Rule; Independence
Bayes's Rule
Counting Rules
Discrete Random Variables
Discrete Random Variables and Probability Distributions
the Mean and Standard Deviation of a Discrete Random Variable
the Binomial Distribution
the Poisson Distribution
the Normal Distribution
Introducing Normally Distributed Variables
Areas Under the Standard Normal Curve
Working with Normally Distributed Variables
Assessing Normality; Normal Probability Plots
Normal Approximation to the Binomial Distribution
the Sampling Distribution of the Sample Mean
Sampling Error; the Need for Sampling Distributions
the Mean and Standard Deviation of the Sample Mean
the Sampling Distribution of the Sample Mean
Inferential Statistics
Confidence Intervals for One Population Mean
Estimating a Population Mean
Confidence Intervals for One Population Mean When � is Known
Margin of Error
Confidence Intervals for One Population Mean When � is Unknown
Hypothesis Tests for One Population Mean
the Nature of Hypothesis Testing
Critical-Value Approach to Hypothesis Testing
P-Value Approach to Hypothesis Testing
Hypothesis Tests for One Population Mean When � is Known
Hypothesis Tests for One Population Mean When � is Unknown
the Wilcoxon Signed-Rank Test
Type II Error Probabilities; Power
Which Procedure Should Be Used?
Inferences for Two Population Means
the Sampling Distribution of the Difference between Two Sample Means for Independent Samples
Inferences for Two Population Means, Using Independent Samples: Standard Deviations Assumed Equal
Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed Equal
the Mann-Whitney Test
Inferences for Two Population Means, Using Paired Samples
the Paired Wilcoxon Signed-Rank Test
Which Procedure Should Be Used?
Inferences for Population Standard Deviations
Inferences for One Population Standard Deviation
Inferences for Two Population Standard Deviations, Using Independent Samples
Inferences for Population Proportions
Confidence Intervals for One Population Proportion
Hypothesis Tests for One Population Proportion
Inferences for Two Population Proportions
Chi-Square Procedures
the Chi-Square Distribution
Chi-Square Goodness-of-Fit Test
Contingency Tables; Association
Chi-Square Independence Test
Chi-Square Homogeneity Test
Regression, Correlation, and ANOVA
Descriptive Methods in Regression and Correlation
Linear Equations with One Independent Variable
the Regression Equation
the Coefficient of Determination
Linear Correlation
Inferential Methods in Regression and Correlation
the Regression Model; Analysis of Residuals
Inferences for the Slope of the Population Regression Line
Estimation and Prediction
Inferences in Correlation
Testing for Normality
Analysis of Variance (ANOVA)
the F-Distribution
One-Way ANOVA: the Logic
One-Way ANOVA: the Procedure
Multiple Comparisons
the Kruskal-Wallis Test
Multiple Regression and Model Building; Experimental Design and ANOVA (On the WeissStats CD-ROM)
Multiple Regression Analysis
the Multiple Linear Regression Model
Estimation of the Regression Parameters
Inferences Concerning the Utility of the Regression Model
Inferences Concerning the Utility of Particular Predictor Variables
Confidence Intervals for Mean Response; Prediction Intervals for Response
Checking Model Assumptions and Residual Analysis
Model Building in Regression
Transformations to Remedy Model Violations
Polynomial Regression Model
Qualitative Predictor Variables
Multicollinearity
Model Selection: Stepwise Regression
Model Selection: All Subsets Regression
Pitfalls and Warnings
Design of Experiments and Analysis of Variance
Factorial Designs
Two-Way ANOVA: the Logic
Two-Way ANOVA: the Procedure
Two-Way ANOVA: Multiple Comparisons
Randomized Block Designs
Randomized Block ANOVA: the Logic
Randomized Block ANOVA: the Procedure
Randomized Block ANOVA: Multiple Comparisons
Friedman's Nonparametric Test for the Randomized Block Design
Appendices
Statistical Tables
Random numbers
Areas under the standard normal curve
Normal scores
Values of t<sub>�</sub>
Values of W<sub>�</sub>
Values of M<sub>�</sub>
Values of �<sub>�</sub><sup>2</sup>
Values of F<sub>�</sub>
Critical values for a correlation test for normality
Values of q<sub>0.01</sub>
Values of q<sub>0.05</sub>
Binomial probabilities
Answers to Selected Exercises
Index
Photo Credits
Indexes for Biographical Sketches & Case Studies
WeissStats CD-ROM (included with every new textbook)
Brief Contents
Note: See the WeissStats CD ReadMe file for detailed contents
Applets
Data Sets
DDXL (Excel Add-In)
Detailed t and Chi-square Tables
Focus Database
Formulas and Appendix a Tables
JMP Concept Discovery Modules
Minitab Macros
Regression-ANOVA Modules
Technology Basics
TI Programs
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