9780201771299

Essentials of Statistics

by
  • ISBN13:

    9780201771299

  • ISBN10:

    0201771292

  • Edition: 2nd
  • Format: Paperback w/CD
  • Copyright: 1/1/2008
  • Publisher: Addison Wesley
  • View Upgraded Edition
  • Purchase Benefits
  • Free Shipping On Orders Over $59!
    Your order must be $59 or more to qualify for free economy shipping. Bulk sales, PO's, Marketplace items, eBooks and apparel do not qualify for this offer.
  • Get Rewarded for Ordering Your Textbooks! Enroll Now
List Price: $98.67

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(32)
Overview
4(1)
Types of Data
5(6)
Critical Thinking
11(9)
Design of Experiments
20(14)
Describing, Exploring, and Comparing Data
34(76)
Overview
36(1)
Frequency Distributions
37(7)
Visualizing Data
44(12)
Measures of Center
56(12)
Measures of Variation
68(18)
Measures of Relative Standing
86(9)
Exploratory Data Analysis (EDA)
95(15)
Probability
110(54)
Overview
112(1)
Fundamentals
112(12)
Addition Rule
124(7)
Multiplication Rule: Basics
131(10)
Multiplication Rule: Complements and Conditional Probability
141(6)
Counting
147(17)
Probability Distributions
164(38)
Overview
166(1)
Random Variables
167(13)
Binomial Probability Distributions
180(11)
Mean, Variance, and Standard Deviation for the Binomial Distribution
191(11)
Normal Probability Distributions
202(62)
Overview
204(1)
The Standard Normal Distribution
205(12)
Applications of Normal Distributions
217(9)
Sampling Distributions and Estimators
226(10)
The Central Limit Theorem
236(12)
Normal as Approximation to Binomial
248(16)
Estimates and Sample Sizes
264(68)
Overview
266(1)
Estimating a Population Proportion
266(19)
Estimating a Population Mean: σ Known
285(13)
Estimating a Population Mean: σ Not Known
298(16)
Estimating a Population Variance
314(18)
Hypothesis Testing
332(66)
Overview
334(1)
Basics of Hypothesis Testing
335(19)
Testing a Claim About a Proportion
354(11)
Testing a Claim About a Mean: σ Known
365(8)
Testing a Claim About a Mean: σ Not Known
373(11)
Testing a Claim About a Standard Deviation or Variance
384(14)
Inferences from Two Samples
398(46)
Overview
400(1)
Inferences About Two Proportions
400(13)
Inferences About Two Means: Independent Samples
413(14)
Inferences from Matched Pairs
427(17)
Correlation and Regression
444(64)
Overview
446(1)
Correlation
446(21)
Regression
467(14)
Variation and Prediction Intervals
481(10)
Rank Correlation
491(17)
Chi-Square and Analysis of Variance
508(54)
Overview
510(1)
Multinomial Experiments: Goodness-of-Fit
511(15)
Contingency Tables: Independence and Homogeneity
526(14)
Analysis of Variance
540(22)
Appendices
562(77)
Appendix A: Tables
563(12)
Appendix B: Data Sets
575(37)
Appendix C: TI-83 Plus Reference
612(2)
Appendix D: Answers to Odd-Numbered Exercises (and All Review Exercises and All Cumulative Review Exercises)
614(25)
Credits 639(2)
Index 641

Rewards Program

Write a Review