List price: $164.75
Price | Condition | Seller | Comments |
---|
Elementary Statistics - With CD by Mario F. Triola is dedicated to finding new real-world examples and data sets that make sense for today's reader. This 11th edition text is no exception leading the market as the premier introductory statistics textbook. Engaging readers, Triola includes 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 methods that professional statisticians employ. Introduction to Statistics; Summarizing and Graphing Data; Statistics for Describing, Exploring, and Comparing Data; Probability; Discrete Probability Distributions; Normal Probability Distributions; Estimates and Sample Sizes; Hypothesis Testing; Inferences from Two Samples; Correlation and Regression; Goodness-of-Fit and Contingency Tables; Analysis of Variance; Nonparametric Statistics; Statistics Process Control; Projects, Procedures, Perspectives For all readers interested in introductory statistics.
1. Introduction to Statistics1-1 Review and Preview1-2 Statistical Thinking1-3 Types of Data1-4 Critical Thinking1-5 Design of Experiments2. Summarizing and Graphing Data2-1 Review and Preview2-2 Frequency Distributions2-3 Histograms2-4 Statistical Graphics2-5 Critical Thinking: Bad Graphs3. Statistics for Describing, Exploring, and Comparing Data3-1 Review and Preview3-2 Measures of Center3-3 Measures of Variation3-4 Measures of Relative Standing and Boxplots4. Probability4-1 Review and Preview4-2 Fundamentals4-3 Addition Rule4-4 Multiplication Rule: Basics4-5 Multiplication Rule: Complements and Conditional Probability4-6 Probabilities Through Simulations4-7 Counting4-8 Bayes' Theorem (on CD-ROM)5. Discrete Probability Distributions5-1 Review and Preview5-2 Random Variables5-3 Binomial Probability Distributions5-4 Mean, Variance, and Standard Deviation for the Binomial Distribution5-5 The Poisson Distribution6. Normal Probability Distributions6-1 Review and Preview6-2 The Standard Normal Distribution6-3 Applications of Normal Distributions6-4 Sampling Distributions and Estimators6-5 The Central Limit Theorem6-6 Normal as Approximation to Binomial6-7 Assessing Normality7. Estimates and Sample Sizes7-1 Review and Preview7-2 Estimating at Population Proportion7-3 Estimating Population Mean: ? Known7-4 Estimating a Population Mean: ? Not Known7-5 Estimating a Population Variance8. Hypothesis Testing8-1 Review and Preview8-2 Basics of Hypothesis Testing8-3 Testing a Claim About a Proportion8-4 Testing a Claim About a Mean: ? Known8-5 Testing a Claim About a Mean: ? Not Known8-6 Testing a Claim About Variation9. Inferences from Two Samples9-1 Review and Preview9-2 Inferences About Two Proportions9-3 Inferences About Two Means: Independent Samples9-4 Inferences from Matched Pairs9-5 Comparing Variation in Two Samples10. Correlation and Regression10-1 Review and Preview10-2 Correlation10-3 Contingency Tables10-4 Variation and Prediction Intervals10-5 Multiple Regression10
Elementary Statistics - With CD by Mario F. Triola is dedicated to finding new real-world examples and data sets that make sense for today's reader. This 11th edition text is no exception leading the market as the premier introductory statistics textbook. Engaging readers, Triola includes 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 methods that professional statisticians employ. Introduction to Statistics; Summarizing and Graphing Data; Statistics for Describing, Exploring, and Comparing Data; Probability; Discrete Probability Distributions; Normal Probability Distributions; Estimates and Sample Sizes; Hypothesis Testing; Inferences from Two Samples; Correlation and Regression; Goodness-of-Fit and Contingency Tables; Analysis of Variance; Nonparametric Statistics; Statistics Process Control; Projects, Procedures, Perspectives For all readers interested in introductory statistics.
Table of Contents
1. Introduction to Statistics1-1 Review and Preview1-2 Statistical Thinking1-3 Types of Data1-4 Critical Thinking1-5 Design of Experiments2. Summarizing and Graphing Data2-1 Review and Preview2-2 Frequency Distributions2-3 Histograms2-4 Statistical Graphics2-5 Critical Thinking: Bad Graphs3. Statistics for Describing, Exploring, and Comparing Data3-1 Review and Preview3-2 Measures of Center3-3 Measures of Variation3-4 Measures of Relative Standing and Boxplots4. Probability4-1 Review and Preview4-2 Fundamentals4-3 Addition Rule4-4 Multiplication Rule: Basics4-5 Multiplication Rule: Complements and Conditional Probability4-6 Probabilities Through Simulations4-7 Counting4-8 Bayes' Theorem (on CD-ROM)5. Discrete Probability Distributions5-1 Review and Preview5-2 Random Variables5-3 Binomial Probability Distributions5-4 Mean, Variance, and Standard Deviation for the Binomial Distribution5-5 The Poisson Distribution6. Normal Probability Distributions6-1 Review and Preview6-2 The Standard Normal Distribution6-3 Applications of Normal Distributions6-4 Sampling Distributions and Estimators6-5 The Central Limit Theorem6-6 Normal as Approximation to Binomial6-7 Assessing Normality7. Estimates and Sample Sizes7-1 Review and Preview7-2 Estimating at Population Proportion7-3 Estimating Population Mean: ? Known7-4 Estimating a Population Mean: ? Not Known7-5 Estimating a Population Variance8. Hypothesis Testing8-1 Review and Preview8-2 Basics of Hypothesis Testing8-3 Testing a Claim About a Proportion8-4 Testing a Claim About a Mean: ? Known8-5 Testing a Claim About a Mean: ? Not Known8-6 Testing a Claim About Variation9. Inferences from Two Samples9-1 Review and Preview9-2 Inferences About Two Proportions9-3 Inferences About Two Means: Independent Samples9-4 Inferences from Matched Pairs9-5 Comparing Variation in Two Samples10. Correlation and Regression10-1 Review and Preview10-2 Correlation10-3 Contingency Tables10-4 Variation and Prediction Intervals10-5 Multiple Regression10