Statistical Methods

ISBN-10: 0122676513
ISBN-13: 9780122676512
Edition: 2nd 2002 (Revised)
List price: $107.00
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Description: Providing a foundation for readers to communicate effectively with professional statisticians, the authors cover the use of appropriate experimental designs and correct method analysis, and explain how to come to a practical conclusion after  More...

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Book details

List price: $107.00
Edition: 2nd
Copyright year: 2002
Publisher: Elsevier Science & Technology Books
Publication date: 12/23/2002
Binding: Hardcover
Pages: 673
Size: 7.50" wide x 9.25" long x 1.25" tall
Weight: 2.750
Language: English

Providing a foundation for readers to communicate effectively with professional statisticians, the authors cover the use of appropriate experimental designs and correct method analysis, and explain how to come to a practical conclusion after interpreting a set of statistical results.

Preface
Data and Statistics
Introduction
Observations and Variables
Types of Measurements for Variables
Distributions
Numerical Descriptive Statistics
Exploratory Data Analysis
Bivariate Data
Populations, Samples, and Statistical Inference--A Preview
Chapter Summary
Chapter Exercises
Probability and Sampling Distributions
Introduction
Probability
Discrete Probability Distributions
Continuous Probability Distributions
Sampling Distributions
Other Sampling Distributions
Chapter Summary
Chapter Exercises
Principles of Inference
Introduction
Hypothesis Testing
Estimation
Sample Size
Assumptions
Chapter Summary
Chapter Exercises
Inferences on a Single Population
Introduction
Inferences on the Population Mean
Inferences on a Proportion
Inferences on the Variance of One Population
Assumptions
Chapter Summary
Chapter Exercises
Inferences for Two Populations
Introduction
Inferences on the Difference between Means Using Independent Samples
Inferences on Variances
Inferences on Means for Dependent Samples
Inferences on Proportions
Assumptions and Remedial Methods
Chapter Summary
Chapter Exercises
Inferences for Two or More Means
Introduction
The Analysis of Variance
The Linear Model
Assumptions
Specific Comparisons
Random Models
Unequal Sample Sizes
Analysis of Means
Chapter Summary
Chapter Exercises
Linear Regression
Introduction
The Regression Model
Estimation of Parameters [beta subscript 0] and [beta subscript 1]
Estimation of [sigma superscript 2] and the Partitioning of Sums of Squares
Inferences for Regression
Using the Computer
Correlation
Regression Diagnostics
Chapter Summary
Chapter Exercises
Multiple Regression
The Multiple Regression Model
Estimation of Coefficients
Inferential Procedures
Correlations
Using the Computer
Special Models
Multicollinearity
Variable Selection
Detection of Outliers, Row Diagnostics
Chapter Summary
Chapter Exercises
Factorial Experiments
Introduction
Concepts and Definitions
The Two-Factor Factorial Experiment
Specific Comparisons
No Replications
Three or More Factors
Chapter Summary
Chapter Exercises
Design of Experiments
Introduction
The Randomized Block Design
Randomized Blocks with Sampling
Latin Square Design
Other Designs
Chapter Summary
Chapter Exercises
Other Linear Models
Introduction
The Dummy Variable Model
Unbalanced Data
Computer Implementation of the Dummy Variable Model
Models with Dummy and Interval Variables
Extensions to Other Models
Binary Response Variables
Chapter Summary
Chapter Exercises
Categorical Data
Introduction
Hypothesis Tests for a Multinomial Population
Goodness of Fit Using the x[superscript 2] Test
Contingency Tables
Log linear Model
Chapter Summary
Chapter Exercises
Nonparametric Methods
Introduction
One Sample
Two Independent Samples
More Than Two Samples
Randomized Block Design
Rank Correlation
Chapter Summary
Chapter Exercises
Sampling and Sample Surveys
Introduction
Some Practical Considerations
Simple Random Sampling
Stratified Sampling
Other Topics
Chapter Summary
Appendix A
The Normal Distribution--Probabilities Exceeding Z
The t Distribution--Values of t Exceeded with Given Probability
x[superscript 2] Distribution--x[superscript 2] Values Exceeded with Given Probability
The F Distribution, p = 0.1
The F[subscript max] Distribution--Percentage Points of F[subscript max] = s[superscript 2 subscript max]/s[superscript 2 subscript min]
Orthogonal Polynomials (Tables of Coefficients for Polynomial Trends)
Percentage Points of the Studentized Range
Percentage Points of the Duncan Multiple Range Test
Critical Values for the Wilcoxon Signed Rank Test N = 5(1)50
The Mann-Whitney Two-Sample Test
Exact Critical Values for Use with the Analysis of Means
A Brief Introduction to Matrices
Matrix Algebra
Solving Linear Exercises
References
Solutions to Selected Exercises
Index

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