Elementary Statistics,9780321500243

Elementary Statistics

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Edition: 11th
ISBN13: 9780321500243
ISBN10: 0321500245
Format: Hardcover w/CD
Pub. Date: 2010-01-01
Publisher(s): Addison Wesley
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Customer Reviews

as expected  February 25, 2015
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"has step by step intructions for the difficult concepts, no problems in my eyes."


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Very Useful!  November 4, 2014
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"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!)"


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A Rare Author of Exceptional Clarity  April 4, 2011
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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.


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Poor Stat Book  September 8, 2010
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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.


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Elementary Statistics: 4 out of 5 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.

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