Elementary Statistics
12th Edition
Published on 10. January 2013
Book
Mixed media product
840 pages
978-0-321-83696-0 (ISBN)
Description
From SAT scores to job search methods, statistics influences and shapes the world around us. Marty Triola's text continues to be the bestseller because it helps students understand the relationship between statistics and the world, bringing life to the theory and methods. Elementary Statistics raises the bar with every edition by incorporating an unprecedented amount of real and interesting data that will help instructors connect with students today, and help them connect statistics to their daily lives. The Twelfth Edition contains more than 1,800 exercises, 89% of which use real data and 85% of which are new. Hundreds of examples are included, 91% of which use real data and 84% of which are new. New coverage of Ethics in Statistics highlights new guidelines that have been established in industry.
More details
Edition
12th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 276 mm
Width: 216 mm
Weight
1800 gr
ISBN-13
978-0-321-83696-0 (9780321836960)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Mario F. Triola
Elementary Statistics Technology Update
Book
12/2010
11th Edition
Pearson
€133.49
Article exhausted; check for reprint
Person
Mario F. Triola is a Professor Emeritus of Mathematics at Dutchess Community College, where he has taught statistics for over 30 years. Marty is the author of Essentials of Statistics, Elementary Statistics Using Excel, Elementary Statistics Using the Graphing Calculator, and he is a co-author of Biostatistics for the Biological and Health Sciences, Statistical Reasoning for Everyday Life and Business Statistics. He has written several manuals and workbooks for technology supporting statistics education. Outside of the classroom, Marty has been a speaker at many conferences and colleges. His consulting work includes the design of casino slot machines and fishing rods, and he has worked with attorneys in determining probabilities in paternity lawsuits, identifying salary inequities based on gender, analyzing disputed election results, analyzing medical data, and analyzing medical school surveys. Marty has testified as an expert witness in New York State Supreme Court. The Text and Academic Authors Association has awarded Mario F. Triola a "Texty" for Excellence for his work on Elementary Statistics.
Content
Chapter 1 Introduction to Statistics
1.1 Review and Preview
1.2 Statistical Thinking and Critical Thinking
1.3 Types of Data
1.4 Collecting Sample Data
Chapter 2 Statistics for Describing, Exploring, and Comparing
2.1 Review and Preview
2.2 Measures of Center
2.3 Measures of Variation
2.4 Measures of Relative Standing & Boxplots
Chapter 3 Probability
3.1 Review and Preview
3.2 Basic Concepts of Probability
3.3 Addition Rule
3.4 Multiplication Rule: Basics
3.5 Multiplication Rule: Complements and Conditional Probability
3.6 Counting
3.7 Probabilities Through Simulations (on CD)
3.8 Bayes' Theorem (on CD)
Chapter 4 Discrete Probability Distributions
4.1 Review and Preview
4.2 Probability Distributions
4.3 Binomial Probability Distributions
4.4 Parameters for Binomial Distributions
4.5 Poisson Probability Distributions
Chapter 5 Normal Probability Distributions
5.1 Review and Preview
5.2 The Standard Normal Distribution
5.3 Applications of Normal Distributions
5.4 Sampling Distributions and Estimators
5.5 Central Limit Theorem
5.6 Assessing Normality
5.7 Normal as Approximation to Binomial
Chapter 6 Estimates and Sample Sizes
6.1 Review and Preview
6.2 Estimating a Population Proportion
6.3 Estimating Population Mean
6.4 Estimating Population Standard Deviation or Variance
Chapter 7 Hypothesis Testing
7.1 Review and Preview
7.2 Basics of Hypothesis Testing
7.3 Testing a Claim About a Proportion
7.4 Testing a Claim About a Mean
7.5 Testing a Claim About a Standard Deviation or Variance
Chapter 8 Inferences from Two Samples
8.1 Review and Preview
8.2 Two Proportions
8.3 Two Means: Independent Samples
8.4 Two Dependent Samples (Matched Pairs)
8.5 Two Variances or Standard Deviations
Chapter 9 Correlation and Regression
9.1 Review and Preview
9.2 Correlation
9.3 Regression
9.4 Prediction Intervals and Variation
9.5 Multiple Regression
9.6 Nonlinear Regression
Chapter 10 Goodness-of-Fit and Contingency Tables
10.1 Review and Preview
10.2 Goodness-of-Fit
10.3 Contingency Tables
Chapter 11 Analysis of Variance
11.1 Review and Preview
11.2 One-Way ANOVA
11.3 Two-Way ANOVA
Chapter 12 Nonparametric Tests
12.1 Review and Preview
12.2 Sign Test
12.3 Wilcoxon Signed Ranks Test for Matched Pairs
12.4 Wilcoxon Rank-Sum Test for Two Independent Samples
12.5 Kruskal-Wallis Test
12.6 Rank Correlation
12.7 Runs Test for Randomness
Chapter 13 Statistical Process Control
13.1 Review and Preview
13.2 Control Charts for Variation and Mean
13.3 Control Charts for Attributes
Chapter 14 Ethics, Projects, Procedures and Perspectives
14.1 Ethics in Statistics
14.2 Projects
14.3 Procedures
14.4 Perspectives
1.1 Review and Preview
1.2 Statistical Thinking and Critical Thinking
1.3 Types of Data
1.4 Collecting Sample Data
Chapter 2 Statistics for Describing, Exploring, and Comparing
2.1 Review and Preview
2.2 Measures of Center
2.3 Measures of Variation
2.4 Measures of Relative Standing & Boxplots
Chapter 3 Probability
3.1 Review and Preview
3.2 Basic Concepts of Probability
3.3 Addition Rule
3.4 Multiplication Rule: Basics
3.5 Multiplication Rule: Complements and Conditional Probability
3.6 Counting
3.7 Probabilities Through Simulations (on CD)
3.8 Bayes' Theorem (on CD)
Chapter 4 Discrete Probability Distributions
4.1 Review and Preview
4.2 Probability Distributions
4.3 Binomial Probability Distributions
4.4 Parameters for Binomial Distributions
4.5 Poisson Probability Distributions
Chapter 5 Normal Probability Distributions
5.1 Review and Preview
5.2 The Standard Normal Distribution
5.3 Applications of Normal Distributions
5.4 Sampling Distributions and Estimators
5.5 Central Limit Theorem
5.6 Assessing Normality
5.7 Normal as Approximation to Binomial
Chapter 6 Estimates and Sample Sizes
6.1 Review and Preview
6.2 Estimating a Population Proportion
6.3 Estimating Population Mean
6.4 Estimating Population Standard Deviation or Variance
Chapter 7 Hypothesis Testing
7.1 Review and Preview
7.2 Basics of Hypothesis Testing
7.3 Testing a Claim About a Proportion
7.4 Testing a Claim About a Mean
7.5 Testing a Claim About a Standard Deviation or Variance
Chapter 8 Inferences from Two Samples
8.1 Review and Preview
8.2 Two Proportions
8.3 Two Means: Independent Samples
8.4 Two Dependent Samples (Matched Pairs)
8.5 Two Variances or Standard Deviations
Chapter 9 Correlation and Regression
9.1 Review and Preview
9.2 Correlation
9.3 Regression
9.4 Prediction Intervals and Variation
9.5 Multiple Regression
9.6 Nonlinear Regression
Chapter 10 Goodness-of-Fit and Contingency Tables
10.1 Review and Preview
10.2 Goodness-of-Fit
10.3 Contingency Tables
Chapter 11 Analysis of Variance
11.1 Review and Preview
11.2 One-Way ANOVA
11.3 Two-Way ANOVA
Chapter 12 Nonparametric Tests
12.1 Review and Preview
12.2 Sign Test
12.3 Wilcoxon Signed Ranks Test for Matched Pairs
12.4 Wilcoxon Rank-Sum Test for Two Independent Samples
12.5 Kruskal-Wallis Test
12.6 Rank Correlation
12.7 Runs Test for Randomness
Chapter 13 Statistical Process Control
13.1 Review and Preview
13.2 Control Charts for Variation and Mean
13.3 Control Charts for Attributes
Chapter 14 Ethics, Projects, Procedures and Perspectives
14.1 Ethics in Statistics
14.2 Projects
14.3 Procedures
14.4 Perspectives