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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000010201440 | QA276.12 T76 2010 | Open Access Book | Book | Searching... |
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Summary
Summary
Normal 0 false false false Mario Triola'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 today'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.
Author Notes
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 .
Table of Contents
| 1 Introduction to Statistics |
| 1-1 Review and Preview |
| 1-2 Statistical Thinking |
| 1-3 Types of Data |
| 1-4 Critical Thinking |
| 1-5 Design of Experiments |
| 2 Summarizing and Graphing Data |
| 2-1 Review and Preview |
| 2-2 Frequency Distributions |
| 2-3 Histograms |
| 2-4 Statistical Graphics |
| 2-5 Critical Thinking: Bad Graphs |
| 3 Statistics for Describing, Exploring, and Comparing Data |
| 3-1 Review and Preview |
| 3-2 Measures of Center |
| 3-3 Measures of Variation |
| 3-4 Measures of Relative Standing and Boxplots |
| 4 Probability |
| 4-1 Review and Preview |
| 4-2 Fundamentals |
| 4-3 Addition Rule |
| 4-4 Multiplication Rule: Basics |
| 4-5 Multiplication Rule: Complements and Conditional Probability |
| 4-6 Probabilities Through Simulations |
| 4-7 Counting |
| 4-8 Bayes' Theorem (on CD-ROM) |
| 5 Discrete Probability Distributions |
| 5-1 Review and Preview |
| 5-2 Random Variables |
| 5-3 Binomial Probability Distributions |
| 5-4 Mean, Variance, and Standard Deviation for the Binomial Distribution |
| 5-5 The Poisson Distribution |
| 6 Normal Probability Distributions |
| 6-1 Review and Preview |
| 6-2 The Standard Normal Distribution |
| 6-3 Applications of Normal Distributions |
| 6-4 Sampling Distributions and Estimators |
| 6-5 The Central Limit Theorem |
| 6-6 Normal as Approximation to Binomial |
| 6-7 Assessing Normality |
| 7 Estimates and Sample Sizes |
| 7-1 Review and Preview |
| 7-2 Estimating at Population Proportion |
| 7-3 Estimating Population Mean: ? Known |
| 7-4 Estimating a Population Mean: ? Not Known |
| 7-5 Estimating a Population Variance |
| 8 Hypothesis Testing |
| 8-1 Review and Preview |
| 8-2 Basics of Hypothesis Testing |
| 8-3 Testing a Claim About a Proportion |
| 8-4 Testing a Claim About a Mean: ? Known |
| 8-5 Testing a Claim About a Mean: ? Not Known |
| 8-6 Testing a Claim About Variation |
| 9 Inferences from Two Samples |
| 9-1 Review and Preview |
| 9-2 Inferences About Two Proportions |
| 9-3 Inferences About Two Means: Independent Samples |
| 9-4 Inferences from Matched Pairs |
| 9-5 Comparing Variation in Two Samples |
| 10 Correlation and Regression |
