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Introductory Statistics,9780321393616
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Introductory Statistics

by
Edition:
8th
ISBN13:

9780321393616

ISBN10:
0321393619
Format:
Hardcover w/CD
Pub. Date:
1/1/2008
Publisher(s):
Addison Wesley
Includes 2-weeks free access to
step-by-step solutions for this book.
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Summary

KEY MESSAGE: WeissIntroductory Statistics, Eighth Edition,features a thorough presentation of the reasoning behind statistics, balanced with analysis and exploration of real data. This book develops statistical thinking over rote drill and practice. The Nature of Statistics; Organizing Data; Descriptive Measures; Probability Concepts; Discrete Random Variables; The Normal Distribution; The Sampling Distribution of the Sample Menu; Confidence Intervals for One Population Mean; Hypothesis Tests for One Population Mean; Inferences for Two Population Means; Inferences for Population Standard Deviations; Inferences for Population Proportions; Chi-Square Procedures; Descriptive Methods in Regression and Correlation; Inferential Methods in Regression and Correlation; Analysis of Variance (ANOVA) For all readers interested in Introductory Statistics.

Table of Contents

Preface
Supplements List
Data Sources
Introduction
The Nature of Statistics
Statistics Basics
Simple Random Sampling
Other Sampling Designs*
Experimental Designs*
Descriptive Statistics
Organizing Data
Variables and Data
Grouping Data
Graphs and Charts
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 ˇ is Known
Margin of Error
Confidence Intervals for One Population Mean When ˇ is Unknown
Hypothesis Tests for One Population Mean
The Nature of Hypothesis Testing
Terms, Errors, and Hypotheses
Hypothesis Tests for One Population Mean When ˇ is Known
Type II Error Probabilities Power*
P-Values
Hypothesis Tests for One Population Mean When ˇ is Unknown
The Wilcoxon Signed-Rank Test*
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
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*
Appendixes
Statistical Tables
Random numbers
Areas under the standard normal curve
Normal scores
Values of tß
Values of Wß
Values of Mß
Values of ¸ß2
Values of Fß
Critical values for a correlation test for normality
Values of q0.01
Values of q0.05
Binomial probabilities
Answers to Selected Exercises
Index
Photo Credits
Indexes for Biographical Sketches
Case Studies
indicates an optional section
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