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9780137444267

Statistics and Data Analysis From Elementary to Intermediate

by ;
  • ISBN13:

    9780137444267

  • ISBN10:

    0137444265

  • Edition: 1st
  • Format: Paperback
  • Copyright: 1999-10-18
  • Publisher: Pearson

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Summary

Introducing the concepts and methods of modern statistics with an emphasis on computer assisted data analysis, the book focuses on interpretation of results rather than their computation. Review of probability, collecting data, summarizing and exploring data, sampling distributions of statistics, basic concepts of inference, linear regression and correlation, analysis of single factor and multifactor Experiments.

Table of Contents

Preface ix
Introduction
1(6)
What Is Statistics?
1(1)
The Nature of Statistics?
2(2)
What Is This Book About?
4(1)
Advice to the Student
5(2)
Review of Probability
7(75)
Basic Ideas
8(7)
Conditional Probability and Independence
15(5)
Random Variables and Their Distributions
20(4)
Expected Value, Variance, and Other Parameters of a Distribution
24(6)
Jointly Distributed Random Variables
30(10)
Chebyshev's Inequality and Weak Law of Large Numbers
40(2)
Selected Discrete Distributions
42(7)
Selected Continuous Distributions
49(3)
Normal Distribution
52(6)
*Transformations of Random Variables
58(4)
Chapter Summary
62(20)
Exercises
63(19)
Collecting Data
82(25)
Types of Statistical Studies
83(2)
Observational Studies
85(6)
Basic Sampling Designs
91(4)
Experimental Studies
95(5)
Chapter Summary
100(7)
Exercises
101(6)
Summarizing and Exploring Data
107(60)
Types of Data
107(2)
Summarizing Categorical Data
109(1)
Summarizing Numerical Data
109(19)
Summarizing Bivariate Data
128(14)
Summarizing Time-Series Data
142(7)
Chapter Summary
149(18)
Exercises
150(17)
Sampling Distributions of Statistics
167(29)
Sampling Distribution of the Sample Mean
168(7)
Sampling Distribution of the Sample Variance
175(4)
Student's t-Distribution
179(2)
Snedecor-Fisher's F-Distribution
181(3)
*Sampling Distributions of Order Statistics
184(3)
Chapter Summary
187(9)
Exercises
188(8)
Basic Concepts of Inference
196(41)
Point Estimation
197(6)
Confidence Interval Estimation
203(5)
Hypothesis Testing
208(19)
Chapter Summary
227(10)
Exercises
228(9)
Inferences for Single Samples
237(32)
Inferences on Mean (Large Samples)
237(12)
Inferences on Mean (Small Samples)
249(5)
Inferences on Variance
254(3)
*Prediction and Tolerance Intervals
257(3)
Chapter Summary
260(9)
Exercises
262(7)
Inferences for Two Samples
269(30)
Independent Samples and Matched Pairs Designs
269(2)
Graphical Methods for Comparing Two Samples
271(1)
Comparing Means of Two Populations
272(14)
*Comparing Variances of Two Populations
286(3)
Chapter Summary
289(10)
Exercises
290(9)
Inferences for Proportions and Count Data
299(47)
Inferences on Proportion
299(8)
Inferences for Comparing Two Proportions
307(7)
Inferences for One-Way Count Data
314(7)
Inferences for Two-Way Count Data
321(8)
Chapter Summary
329(17)
Exercises
330(16)
Simple Linear Regression and Correlation
346(55)
A Probabilistic Model for Simple Linear Regression
347(1)
Fitting the Simple Linear Regression Model
348(8)
Statistical Inference for Simple Linear Regression
356(9)
Regression Diagnostics
365(14)
*Correlation Analysis
379(5)
Pitfalls of Regression and Correlation Analyses
384(1)
Chapter Summary
385(16)
Exercises
386(15)
Multiple Linear Regression
401(56)
A Probabilistic Model for Multiple Linear Regression
402(1)
Fitting the Multiple Regression Model
403(2)
*Multiple Regression Model in Matrix Notation
405(2)
Statistical Inference for Multiple Regression
407(6)
Regression Diagnostics
413(2)
Topics in Regression Modeling
415(12)
Variable Selection Methods
427(10)
A Strategy for Building a Multiple Regression Model
437(2)
Chapter Summary
439(18)
Exercises
440(17)
Analysis of Single Factor Experiments
457(47)
Completely Randomized Design
457(10)
Multiple Comparisons of Means
467(13)
*Random Effects Model for a One-Way Layout
480(2)
Randomized Block Design
482(8)
Chapter Summary
490(14)
Exercises
492(12)
Analysis of Multifactor Experiments
504(58)
Two-Factor Experiments with Fixed Crossed Factors
505(17)
2k Factorial Experiments
522(18)
Other Selected Types of Two-Factor Experiments
540(7)
Chapter Summary
547(15)
Exercises
548(14)
Nonparametric Statistical Methods
562(51)
Inferences for Single Samples
562(11)
Inferences for Two Independent Samples
573(7)
Inferences for Several Independent Samples
580(3)
Inferences for Several Matched Samples
583(3)
Rank Correlation Methods
586(8)
*Resampling Methods
594(9)
Chapter Summary
603(10)
Exercises
604(9)
Likelihood, Bayesian, and Decision Theory Methods
613(56)
Maximum Likelihood Estimation
613(18)
Likelihood Ratio Tests
631(15)
Bayesian Inference
646(4)
Decision Theory
650(7)
Chapter Summary
657(12)
Exercises
660(9)
Appendix A Tables 669(17)
Appendix B Abbreviated Answers to Selected Odd-Numbered Exercises 686(27)
Index 713

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The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

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