Elementary Statistics

by Triola, Mario F.

• ISBN13: 9780321500243
• ISBN10: 0321500245
• Edition: 11th
• Format: Hardcover w/CD
• Copyright: 2010-01-01
• Publisher: Addison Wesley

Summary

Normal 0 false false false Mario Triolars"sElementary Statisticsremains the market-leading introductory statistics textbook because it engages readers with an abundance of real data in the examples, applications, and exercises. Statistics is all around us in our daily lives, and Triola is dedicated to finding new real-world examples and data sets that make sense for todayrs"s reader. TheEleventh Editioncontains 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

Introduction to Statistics

Review and Preview

Statistical Thinking

Types of Data

Critical Thinking

Design of Experiments

Summarizing and Graphing Data

Review and Preview

Frequency Distributions

Histograms

Statistical Graphics

Critical Thinking: Bad Graphs

Statistics for Describing, Exploring, and Comparing Data

Review and Preview

Measures of Center

Measures of Variation

Measures of Relative Standing and Boxplots

Probability

Review and Preview

Fundamentals

Addition Rule

Multiplication Rule: Basics

Multiplication Rule: Complements and Conditional Probability

Probabilities Through Simulations

Counting

Bayes' Theorem (on CD-ROM)

Discrete Probability Distributions

Review and Preview

Random Variables

Binomial Probability Distributions

Mean, Variance, and Standard Deviation for the Binomial Distribution

The Poisson Distribution

Normal Probability Distributions

Review and Preview

The Standard Normal Distribution

Applications of Normal Distributions

Sampling Distributions and Estimators

The Central Limit Theorem

Normal as Approximation to Binomial

Assessing Normality

Estimates and Sample Sizes

Review and Preview

Estimating at Population Proportion

Estimating Population Mean: ? Known

Estimating a Population Mean: ? Not Known

Estimating a Population Variance

Hypothesis Testing

Review and Preview

Basics of Hypothesis Testing

Testing a Claim About a Proportion

Testing a Claim About a Mean: ? Known

Testing a Claim About a Mean: ? Not Known

Testing a Claim About Variation

Inferences from Two Samples

Review and Preview

Inferences About Two Proportions

Inferences About Two Means: Independent Samples

Inferences from Matched Pairs

Comparing Variation in Two Samples

Correlation and Regression

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