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An Introduction to Statistical Methods and Data Analysis by R. Lyman Ott and Michael T. Longnecker (2000, Hardcover, Revised edition)

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AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS By R. Lyman Ott, Micheal T. Longnecker - Hardcover **Mint Condition**.

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Product Information

Statistics is a thought process. In this comprehensive introduction to statistical methods and data analysis, the process is presented utilizing a four-step approach: 1) gathering data, 2) summarizing data, 3) analyzing data, and 4) communicating the results of data analyses.

Product Identifiers

Publisher
Brooks/Cole
ISBN-10
0534251226
ISBN-13
9780534251222
eBay Product ID (ePID)
970321

Product Key Features

Author
Michael T. Longnecker, R. Lyman Ott
Publication Name
Introduction to Statistical Methods and Data Analysis
Format
Hardcover
Language
English
Features
Revised
Publication Year
2000
Type
Textbook
Number of Pages
1184 Pages

Dimensions

Item Length
10.1in
Item Height
1.9in
Item Width
8.3in
Item Weight
78.6 Oz

Additional Product Features

Lc Classification Number
Qa276.O77 2001
Edition Description
Revised Edition
Edition Number
5
Table of Content
PART I: INTRODUCTION1. WHAT IS STATISTICS?Introduction / Why Study Statistics? / Some Current Applications of Statistics / What Do Statisticians Do? / Quality and Process Improvement / A Note to the Student / Summary / Supplementary ExercisesPART II: COLLECTING THE DATA2. USING SURVEYS AND SCIENTIFIC STUDIES TO COLLECT DATAIntroduction / Surveys / Scientific Studies / Observational Studies / Data Management: Preparing Data for Summarization and Analysis / SummaryPART III: SUMMARIZING DATA3. DATA DESCRIPTIONIntroduction / Describing Data on a Single Variable: Graphical Methods / Describing Data on a Single Variable: Measures of Central Tendency / Describing Data on a Single Variable: Measures of Variability / The Box Plot / Summarizing Data from More Than One Variable / Calculators, Computers, and Software Systems / Summary / Key Formulas / Supplementary ExercisesPART IV: TOOLS AND CONCEPTS4. PROBABILITY AND PROBABILITY DISTRIBUTIONSHow Probability Can Be Used in Making Inferences / Finding the Probability of an Event / Basic Event Relations and Probability Laws / Conditional Probability and Independence / Bayes''''s Formula / Variables: Discrete and Continuous / Probability Distributions for Discrete Random Variables / A Useful Discrete Random Variable: The Binomial / Probability Distributions for Continuous Random Variables / A Useful Continuous Random Variable: The Normal Distribution / Random Sampling / Sampling Distributions / Normal Approximation to the Binomial / Summary / Key Formulas / Supplementary ExercisesPART V: ANALYZING DATA: CENTRAL VALUES, VARIANCES, AND PROPORTIONS5. INFERENCES ON A POPULATION CENTRAL VALUEIntroduction and Case Study / Estimation of µ / Choosing the Sample Size for Estimating µ / A Statistical Test for µ / Choosing the Sample Size for Testing µ / The Level of Significance of a Statistical Test / Inferences about µ for Normal Population, s Unknown / Inferences about the Population Median / Summary / Key Formulas / Supplementary Exercises6. COMPARING TWO POPULATION CENTRAL VALUESIntroduction and Case Study / Inferences about µ1 - µ2: Independent Samples / A Nonparametric Alternative: The Wilcoxon Rank Sum Test / Inferences about µ1 - µ2: Paired Data / A Nonparametric Alternative: The Wilcoxon Signed-Rank Test / Choosing Sample Sizes for Inferences about µ1 - µ2 / Summary / Key Formulas / Supplementary Exercises7. INFERENCES ABOUT POPULATION VARIANCESIntroduction and Case Study / Estimation and Tests for a Population Variance / Estimation and Tests for Comparing Two Population Variances / Tests for Comparing k > 2 Population Variances / Summary / Key Formulas / Supplementary Exercises8. INFERENCES ABOUT POPULATION CENTRAL VALUESIntroduction and Case Study / A Statistical Test About More Than Two Population Variances / Checking on the Assumptions / Alternative When Assumptions are Violated: Transformations / A Nonparametric Alternative: The Kruskal-Wallis Test / Summary / Key Formulas / Supplementary Exercises9. MULTIPLE COMPARISONSIntroduction and Case Study / Planned Comparisons Among Treatments: Linear Contrasts / Which Error Rate Is Controlled / Multiple Comparisons with the Best Treatment / Comparison of Treatments to a Control / Pairwise Comparison on All Treatments / Summary / Key Formulas / Supplementary Exercises10. CATEGORICAL DATAIntroduction and Case Study / Inferences about a Population Proportion p / Comparing Two Population Proportions p1 - p2 / Probability Distributions for Discrete Random Variables / The Multinomial Experiment and Chi-Square Goodness-of-Fit Test / The Chi-Square Test of Homogeneity of Proportions / The Chi-Square Test of Independence of Two Nominal Level Variables / Fisher''''s Exact Test, a Permutation Test / Measures of Association / Combining Sets of Contingency Tables / Summary / Key Formulas / Supplementary ExercisesPART VI: ANALYZING DATA: REGRESSION METHODS, MODEL BUILDING11. SIMPLE LINEAR REGRESSION AND CORRELATIONLinear Regress
Copyright Date
2001
Target Audience
College Audience
Topic
Probability & Statistics / General
Lccn
99-040068
Dewey Decimal
519.5
Dewey Edition
21
Illustrated
Yes
Genre
Mathematics

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4.0

4.0 out of 5 stars based on 8 product ratings

8 product ratings

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Would recommend

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4 out of 5 stars
by kandeesmileOct 06, 2009
Good book!
I HAD to buy this book for an upper division stats class. I liked the way it wasn't too "wordy". I HATE to read a lot of fluff authors feel like adding in just to make a book thicker. Also, it seems to cover EVERYTHING! What I didn't like about it was that specific things were difficult for me to find, i.e. not in the index, etc. Also, the book is HUGE! But then again, it has to be huge to cover 2 intense semesters. They should have a half semester option for people who want have the size to deal with on a regular basis.
5 out of 5 stars
by xkqcPbQmR3G@Del...Nov 03, 2015
For Stats Class
Easy to follow. Nice tables to reference values.
Verified purchase: Yes | Condition: Pre-owned
3 out of 5 stars
by r5mbrg6xtgs@del...Oct 15, 2008
Average Rating
Each chapter of the book is very dense and the way it is organized is very difficult. Chapters do not start with outlines, so it can be very time-consuming to find certain information within a chapter. However, it is comprehensive and an amazing resource once you figure out where information is located.
5 out of 5 stars
by memein06Dec 10, 2011
The best book for all kind of statistics.
I bought this book for a agricultural college course. It is an excellent text book for all kind of statistics. The illustrations are very easy to understand and to follow the examples. I recommend it 100%.
5 out of 5 stars
by uWNF5vZsTse@Del...Oct 03, 2008
Excellent text.
I bought this text a month ago and was immediately impressed with its feature (absolutely new). My only complaint is that the product came so late because it comes from the UK. Overall, I'd recommend this text.

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An Introduction to Statistical Methods and Data Analysis by R. Lyman Ott and Michael T. Longnecker (2000, Hardcover, Revised edition)

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

All listings for this product

Ratings and Reviews

Most relevant reviews

Good book!

For Stats Class

Average Rating

The best book for all kind of statistics.

Excellent text.

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