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# Elementary Statistics

**by**Triola, Mario F.

11th

### 9780321500243

0321500245

Hardcover w/CD

1/1/2010

Addison Wesley

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## Customer Reviews

as expected February 25, 2015

by

by

"has step by step intructions for the difficult concepts, no problems in my eyes."

Very Useful! November 4, 2014

by

by

"Like it? No! Love it! Got the book for $21 less than Amazon, plus it was delivered to my mailbox in 3 days (Roll wave!)"

A Rare Author of Exceptional Clarity April 4, 2011

by

by

Having used another stat textbook before, I feel that this book does a great job of breaking down the procedures step by step. I find the flow charts to be an invaluable help to understanding the subject. Having taken statistics for a total of 3 times, once in another textbook and twice in this particular one, I have found that the difficulty of the material greatly depends on the professor. The only problems that have occurred using this textbook is in the rounding of numbers. Either the author is not following his own rules or the writers of the sample problems do not follow the author's rules. Possibly the rounding rules need more clarification in future editions.

Poor Stat Book September 8, 2010

by

by

As a grad student at yale, I found this intro to stats book a little demeaning to those who have devoted their live to the awesome world of statistics. While this textbook is supposedly "the leader in elementary stats", I was disappointed. The author is more concerned with writing prose and not focused on actual math.

Elementary Statistics:
stars based on
4 user reviews.

## 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 | |

Table of Contents provided by Publisher. All Rights Reserved. |