Elementary Statistics Update

• ISBN13:

• ISBN10:

0321288394

• Edition: 9th
• Format: Hardcover w/CD
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Summary

Elementary Statistics has been written for the introductory statistics course and students majoring in any field. Although the use of algebra is minimal, students should have completed at least an elementary algebra course. In many cases, underlying theory is included, but this book does not stress the mathematical rigor more suitable for mathematics majors. Triola is the #1 best seller in the market long recognized for its student-friendly pedagogy and wealth of exercises using real data. the ninth edition offers new large and small data sets, a greater emphasis on interpreting results, and improved flexible technology coverage with many examples and exercises covering a wide variety of different and interesting statistical applications.

 Introduction to Statistics
2(34)
 Overview
4(1)
 Types of Data
5(6)
 Critical Thinking
11(9)
 Design of Experiments
20(16)
 Describing, Exploring, and Comparing Data
36(82)
 Overview
38(1)
 Frequency Distributions
39(7)
 Visualizing Data
46(13)
 Measures of Center
59(14)
 Measures of Variation
73(19)
 Measures of Relative Standing
92(10)
 Exploratory Data Analysis (EDA)
102(16)
 Probability
118(62)
 Overview
120(1)
 Fundamentals
120(12)
132(7)
 Multiplication Rule: Basics
139(11)
 Multiplication Rule: Complements and Conditional Probability
150(6)
 Probabilities Through Simulations
156(6)
 Counting
162(18)
 Probability Distributions
180(44)
 Overview
182(1)
 Random Variables
183(13)
 Binomial Probability Distributions
196(11)
 Mean, Variance, and Standard Deviation for the Binomial Distribution
207(5)
 The Poisson Distribution
212(12)
 Normal Probability Distributions
224(72)
 Overview
226(1)
 The Standard Normal Distribution
227(13)
 Applications of Normal Distributions
240(9)
 Sampling Distributions and Estimators
249(10)
 The Central Limit Theorem
259(12)
 Normal as Approximation to Binomial
271(11)
 Determining Normality
282(14)
 Estimates and Sample Sizes
296(70)
 Overview
298(1)
 Estimating a Population Proportion
298(20)
 Estimating a Population Mean: σ Known
318(12)
 Estimating a Population Mean: σ Not Known
330(17)
 Estimating a Population Variance
347(19)
 Hypothesis Testing
366(70)
 Overview
368(1)
 Basics of Hypothesis Testing
369(19)
 Testing a Claim About a Proportion
388(12)
 Testing a Claim About a Mean: σ Known
400(7)
 Testing a Claim About a Mean: σ Not Known
407(12)
 Testing a Claim About a Standard Deviation or Variance
419(17)
 Inferences from Two Samples
436(58)
 Overview
438(1)
438(14)
 Inferences About Two Means: Independent Samples
452(14)
 Inferences from Matched Pairs
466(10)
 Comparing Variation in Two Samples
476(18)
 Correlation and Regression
494(70)
 Overview
496(1)
 Correlation
496(21)
 Regression
517(14)
 Variation and Prediction Intervals
531(10)
 Multiple Regression
541(10)
 Modeling
551(13)
 Multinomial Experiments and Contingency Tables
564(38)
 Overview
566(1)
 Multinomial Experiments: Goodness-of-Fit
567(15)
 Contingency Tables: Independence and Homogeneity
582(20)
 Analysis of Variance
602(34)
 Overview
604(2)
 One-Way ANOVA
606(13)
 Two-Way ANOVA
619(17)
 Nonparametric Statistics
636(58)
 Overview
638(2)
 Sign Test
640(10)
 Wilcoxon Signed-Ranks Test for Matched Pairs
650(6)
 Wilcoxon Rank-Sum Test for Two Independent Samples
656(7)
 Kruskal-Wallis Test
663(7)
 Rank Correlation
670(9)
 Runs Test for Randomness
679(15)
 Statistical Process Control
694(28)
 Overview
696(1)
 Control Charts for Variation and Mean
696(14)
 Control Charts for Attributes
710(12)
 Projects, Procedures, Perspectives
722(8)
 Projects
722(4)
 Procedure
726(2)
 Perspective
728(2)
 Appendices
730(97)
 Appendix A: Tables
731(16)
 Appendix B: Data Sets
747(36)
 Appendix C: TI-83 Plus Reference
783(2)
 Appendix D: Glossary
785(8)
 Appendix E: Bibliography
793(2)
 Appendix F: Answers to Odd-Numbered Exercises (and All Review Exercises and All Cumulative Review Exercises)
795(32)
Credits 827(2)
Index 829