Elementary Statistics

ISBN-10: 032189720X
ISBN-13: 9780321897206
Edition: 8th 2012
Authors: Neil A. Weiss
List price: $236.47 Buy it from $7.40
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Description: Weiss’sElementary Statistics, Eighth Editionis the ideal textbook for introductory statistics classes that emphasize statistical reasoning and critical thinking. Comprehensive in its coverage, Weiss’s meticulous style offers careful, detailed  More...

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Book details

List price: $236.47
Edition: 8th
Copyright year: 2012
Publisher: Addison Wesley
Publication date: 8/9/2012
Binding: Mixed Media
Size: 9.00" wide x 11.25" long x 1.50" tall
Weight: 3.652
Language: English

Weiss’sElementary Statistics, Eighth Editionis the ideal textbook for introductory statistics classes that emphasize statistical reasoning and critical thinking. Comprehensive in its coverage, Weiss’s meticulous style offers careful, detailed explanations to ease the learning process. With more than 2,000 exercises, most using real data, there is a wealth of opportunity for students to apply their knowledge and develop statistical literacy. The text is suitable for a one-semester course. Elementary Statistics, Eighth Edition, contains parallel presentation of critical-value andp-value approaches to hypothesis testing. This unique design allows both the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two. This edition ofElementary Statisticscontinues the book's tradition of being on the cutting edge of statistical pedagogy, technology, and data analysis. It includes hundreds of new and updated exercises with real data from journals, magazines, newspapers, and Web sites. Elementary Statistics, Eighth Edition, takes a data-driven approach with more than 700 data sets documented by several hundred data sources. Datasets and other resources (where applicable) for this book are availablehere.

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
Descriptive Methods in Regression and Correlation
Linear Equations with One Independent Variable
the Regression Equation
the Coefficient of Determination
Linear Correlation
Probability, Random Variables, and Sampling Distributions
Probability and Random Variables
Probability Basics
Events
Some Rules of Probability
Discrete Random Variables and Probability Distributions
the Mean and Standard Deviation of a Discrete Random Variable
the Binomial Distribution
the Normal Distribution
Introducing Normally Distributed Variables
Areas Under the Standard Normal Curve
Working with Normally Distributed Variables
Assessing Normality; Normal Probability Plots
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
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
Inferences for Two Population Means, Using Paired 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
Analysis of Variance (ANOVA)
the F-Distribution
One-Way ANOVA: the Logic
One-Way ANOVA: the Procedure
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
Appendices
Statistical Tables
Random numbers
Areas under the standard normal curve
Normal scores
Values of t<sub>�</sub>
Values of �<sub>�</sub><sup>2</sup>
Values of F<sub>�</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-ROM 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
Further Topics in Probability
JMP Concept Discovery Modules
Minitab Macros
Technology Basics
TI Programs
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