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Introduction to Statistical Methods and Data Analysis

ISBN-10: 0534251226
ISBN-13: 9780534251222
Edition: 5th 2001 (Revised)
List price: $356.95
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Description: Statistics is a thought process. In this comprehensive introduction to statistical methods and data analysis, the process is presented utilizing a four-step approach: 1) gathering data, 2) summarizing data, 3) analyzing data, and 4) communicating  More...

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Book details

List price: $356.95
Edition: 5th
Copyright year: 2001
Publisher: Brooks/Cole
Publication date: 12/20/2000
Binding: Hardcover
Pages: 1184
Size: 8.25" wide x 10.00" long x 1.75" tall
Weight: 5.082
Language: English

Statistics is a thought process. In this comprehensive introduction to statistical methods and data analysis, the process is presented utilizing a four-step approach: 1) gathering data, 2) summarizing data, 3) analyzing data, and 4) communicating the results of data analyses.

Introduction
What Is Statistics?
Introduction
Why Study Statistics?
Some Current Applications of Statistics
What Do Statisticians Do?
Quality and Process Improvement
A Note to the Student
Summary
Supplementary Exercises
Collecting The Data
Using Surveys And Scientific Studies To Collect Data
Introduction
Surveys
Scientific Studies
Observational Studies
Data Management: Preparing Data for Summarization and Analysis
Summary
Summarizing Data
Data Description Introduction
Describing Data on a Single Variable: Graphical Methods
Describing Data on a Single Variable: Measures of Central Tendency
Describing Data on a Single Variable: Measures of Variability
The Box Plot
Summarizing Data from More Than One Variable
Calculators, Computers, and Software Systems
Summary
Key Formulas
Supplementary Exercises
Tools And Concepts
Probability And Probability Distributions
How Probability Can Be Used in Making Inferences
Finding the Probability of an Event
Basic Event Relations and Probability Laws
Conditional Probability and Independence
Bayes''''s Formula
Variables: Discrete and Continuous
Probability Distributions for Discrete Random Variables
A Useful Discrete Random Variable: The Binomial
Probability Distributions for Continuous Random Variables
A Useful Continuous Random Variable: The Normal Distribution
Random Sampling
Sampling Distributions
Normal Approximation to the Binomial
Summary
Key Formulas
Supplementary Exercises
Analyzing Data: Central Values, Variances, And Proportions
Inferences On A Population Central Value
Introduction and Case Study
Estimation of �
Choosing the Sample Size for Estimating �
A Statistical Test for �
Choosing the Sample Size for Testing �
The Level of Significance of a Statistical Test
Inferences about � for Normal Population, s Unknown
Inferences about the Population Median
Summary
Key Formulas
Supplementary Exercises
Comparing Two Population Central Values
Introduction and Case Study
Inferences about �1 - �2: Independent Samples
A Nonparametric Alternative: The Wilcoxon Rank Sum Test
Inferences about �1 - �2: Paired Data
A Nonparametric Alternative: The Wilcoxon Signed-Rank Test
Choosing Sample Sizes for Inferences about �1 - �2
Summary
Key Formulas
Supplementary Exercises
Inferences About Population Variances
Introduction and Case Study
Estimation and Tests for a Population Variance
Estimation and Tests for Comparing Two Population Variances
Tests for Comparing k >2 Population Variances
Summary
Key Formulas
Supplementary Exercises
Inferences About Population Central Values
Introduction and Case Study
A Statistical Test About More Than Two Population Variances
Checking on the Assumptions
Alternative When Assumptions are Violated: Transformations
A Nonparametric Alternative: The Kruskal-Wallis Test
Summary
Key Formulas
Supplementary Exercises
Multiple Comparisons
Introduction and Case Study
Planned Comparisons Among Treatments: Linear Contrasts
Which Error Rate Is Controlled
Multiple Comparisons with the Best Treatment
Comparison of Treatments to a Control
Pairwise Comparison on All Treatments
Summary
Key Formulas
Supplementary Exercises
Categorical Data
Introduction and Case Study
Inferences about a Population Proportion p
Comparing Two Population Proportions p1 - p2
Probability Distributions for Discrete Random Variables
The Multinomial Experiment and Chi-Square Goodness-of-Fit Test
The Chi-Square Test of Homogeneity of Proportions
The Chi-Square Test of Independence of Two Nominal Level Variables
Fisher''''s Exact Test, a Permutation Test
Measures of Association
Combining Sets of Contingency Tables
Summary
Key Formulas
Supplementary Exercises PART VI:
Analyzing Data: Regression Methods, Model Building
Simple Linear Regression And Correlation
Linear Regression a

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