9780201741186

Essentials of Statistics

by
  • ISBN13:

    9780201741186

  • ISBN10:

    0201741180

  • Edition: CD
  • Format: Paperback w/CD
  • Copyright: 1/1/2002
  • Publisher: Addison Wesley
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Summary

Key Message: Essentials of Statistics, Third Edition is the ideal text for readers who want a more economical and streamlined text that covers the essential topics. Drawn from Triola's Elementary Statistics, Tenth Edition, this text provides the same reader-friendly approach with material presented in a real-world context.Key Topics Introduction to Statistics; Summarizing and Graphing Data; Statistics for Describing, Exploring, and Comparing Data; Probability; Probability Distributions; Normal Probability Distributions; Estimates and Sample Sizes; Hypothesis Testing; Inferences from Two Samples; Correlation and Regression; Chi-Square and Analysis of Variance. Market: For all readers interested in Statistics.

Table of Contents

Introduction to Statistics
2(28)
Overview
4(1)
The Nature of Data
5(6)
Uses and Abuse of Statistics
11(5)
Design of Experiments
16(14)
Describing, Exploring, and Comparing Data
30(76)
Overview
32(1)
Summarizing Data with Frequency Tables
33(7)
Pictures of Data
40(12)
Measures of Center
52(14)
Measures of Variation
66(15)
Measures of Position
81(9)
Exploratory Data Analysis (EDA)
90(16)
Probability
106(56)
Overview
108(1)
Fundamentals
108(13)
Addition Rule
121(7)
Multiplication Rule: Basics
128(9)
Multiplication Rule: Complements and Conditional Probability
137(7)
Counting
144(18)
Probability Distributions
162(38)
Overview
164(1)
Random Variables
165(12)
Binomial Probability Distributions
177(11)
Mean, Variance, and Standard Deviation for the Binomial Distribution
188(12)
Normal Probability Distributions
200(60)
Overview
202(1)
The Standard Normal Distribution
202(14)
Normal Distributions: Finding Probabilities
216(8)
Normal Distributions: Finding Values
224(7)
The Central Limit Theorem
231(11)
Normal Distribution as Approximation to Binomial Distribution
242(18)
Estimates and Sample Sizes
260(66)
Overview
262(1)
Estimating a Population Mean: Large Samples
262(16)
Estimating a Population Mean: Small Samples
278(11)
Determining Sample Size Required to Estimate μ
289(6)
Estimating a Population Proportion
295(12)
Estimating a Population Variance
307(19)
Hypothesis Testing
326(66)
Overview
328(1)
Fundamentals of Hypothesis Testing
329(14)
Testing a Claim about a Mean: Large Samples
343(18)
Testing a Claim about a Mean: Small Samples
361(10)
Testing a Claim about a Proportion
371(7)
Testing a Claim about a Standard Deviation or Variance
378(14)
Inferences from Two Samples
392(40)
Overview
394(1)
Inferences about Two Means: Independent and Large Samples
394(10)
Inferences about Two Means: Matched Pairs
404(9)
Inferences about Two Proportions
413(19)
Correlation and Regression
432(62)
Overview
434(1)
Correlation
434(19)
Regression
453(13)
Variation and Prediction Intervals
466(10)
Rank Correlation
476(18)
Chi-Square and Analysis of Variance
494(54)
Overview
496(1)
Multinomial Experiments: Goodness-of-Fit
497(13)
Contingency Tables: Independence and Homogeneity
510(14)
Analysis of Variance
524(24)
Appendices 548(60)
Appendix A: Tables
549(11)
Appendix B: Data Sets
560(24)
Appendix C: TI-83 Plus Reference
584(2)
Appendix D: Answers to Odd-Numbered Exercises (and All Review Exercises and All Cumulative Review Exercises)
586(22)
Credits 608(2)
Index 610

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