Description

Mario Triolas Elementary remains the market-leading introductory because it engages with an abundance of real data in the examples; ; and exercises. Statistics is all around us in our daily lives; and Triola is dedicated to finding new real-world examples and data sets for you to use in your classroom.

The Eleventh Edition contains more than 2000 exercises; 87% of which are new; and 82% of which use real data. It also contains hundreds of examples; 86% of which are new and 94% of which use real data. By analyzing real data; students are able to connect abstract concepts to the world at large. As a result; they gain conceptual understanding and learn to think statistically; using the same that professional statisticians employ.

1. Introduction to Statistics
1-1 Review and Preview
1-2 Statistical Thinking
1-3 Types of Data
1-4 Critical Thinking
1-5 Design of Experiments

2. Summarizing and Graphing Data
2-1 Review and Preview
2-2 Frequency Distributions
2-3 Histograms
2-4 Statistical Graphics

3. Statistics for Describing, Exploring, and Comparing Data
3-1 Review and Preview
3-2 Measures of Center
3-3 Measures of Variation
3-4 Measures of Relative Standing and Boxplots

4. Probability
4-1 Review and Preview
4-2 Fundamentals
4-4 Multiplication Rule: Basics
4-5 Multiplication Rule: Complements and Conditional Probability
4-6 Probabilities Through Simulations
4-7 Counting
4-8 Bayes' Theorem (on CD-ROM)

5. Discrete Probability Distributions
5-1 Review and Preview
5-2 Random Variables
5-3 Binomial Probability Distributions
5-4 Mean, Variance, and Standard Deviation for the Binomial Distribution
5-5 The Poisson Distribution

6. Normal Probability Distributions
6-1 Review and Preview
6-2 The Standard Normal Distribution
6-3 Applications of Normal Distributions
6-4 Sampling Distributions and Estimators
6-5 The Central Limit Theorem
6-6 Normal as Approximation to Binomial
6-7 Assessing Normality

7. Estimates and Sample Sizes
7-1 Review and Preview
7-2 Estimating at Population Proportion
7-3 Estimating Population Mean: ? Known
7-4 Estimating a Population Mean: ? Not Known
7-5 Estimating a Population Variance

8. Hypothesis Testing
8-1 Review and Preview
8-2 Basics of Hypothesis Testing
8-3 Testing a Claim About a Proportion
8-4 Testing a Claim About a Mean: ? Known
8-5 Testing a Claim About a Mean: ? Not Known
8-6 Testing a Claim About Variation

9. Inferences from Two Samples
9-1 Review and Preview
9-3 Inferences About Two Means: Independent Samples
9-4 Inferences from Matched Pairs
9-5 Comparing Variation in Two Samples

10. Correlation and Regression
10-1 Review and Preview
10-2 Correlation
10-3 Contingency Tables
10-4 Variation and Prediction Intervals
10-5 Multiple Regression
10-6 Modeling

11. Goodness-of-Fit and Contingency Tables
11-1 Review and Preview
11-2 Goodness-of-Fit
11-3 Contingency Tables
11-4 McNemar's Test for Matched Pairs

12. Analysis of Variance
12-1 Review and Preview
12-2 One-Way ANOVA
12-3 Two-Way ANOVA

13. Nonparametric Statistics
13-1 Review and Preview
13-2 Sign Test
13-3 Wilcoxon Signed Ranks Test for Matched Pairs
13-4 Wilcoxon Ranked-Sum Test for Two Independent Samples
13-5 Kruskal-Wallis Test
13-6 Rank Correlation
13-7 Runs Test for Randomness

14. Statistics Process Control
14-1 Review and Preview
14-2 Control Charts for Variation and Mean
14-3 Control Charts for Attributes

15. Projects, Procedures, Perspectives
15-1 Projects
15-2 Procedure
15-3 Perspective

Appendices
Appendix A: Tables
Appendix B: Data Sets
Appendix C: Bibliography of Books and Websites
Appendix D: Answers to Odd-Numbered Exercises (and All Review Exercises and All Cumulative Review Exercises)

Credits
Index
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