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An introduction to statistical methods and data analysis.

Author: Lyman Ott; Michael Longnecker
Publisher: Belmont, CA : Brooks/Cole Cengage Learning, ©2010.
Edition/Format:   Print book : English : 6th ed.View all editions and formats
Summary:
This book is about Statistics and the Scientific Method. Using Surveys and Scientific Studies to Collect Data, Probability And Probability Distributions, Inferences about Population Central Values, Multiple Regression and the General Linear Model. Including Analysis of Variance for Some Unbalanced Designs.
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Document Type: Book
All Authors / Contributors: Lyman Ott; Michael Longnecker
ISBN: 9780495017585 0495017582 9780495109143 0495109142
OCLC Number: 144559870
Description: xv, 1273 pages : illustrations (some color) ; 26 cm
Contents: Part 1: Introduction: Statistics and the scientific method --
Part 2: Collecting data: Using surveys and scientific studies to collect data --
Part 3: Summarizing data: Data description ; Probability and probability distributions --
Part 4: Analyzing data, interpreting the analyses, and communicating results: Inferences about population central values ; Inferences comparing two population central values ; Inferences about population variances ; Inferences about more than two population central values ; Multiple comparisons ; Categorical data ; Analyzing data: regression methods and model building: Linear regression and correlation ; Multiple regression and the general linear model ; Further regression topics ; Design of experiments and analysis of variance: Analysis of variance for completely randomized designs ; Analysis of variance for blocked designs ; Analysis of covariance ; Analysis of variance for some fixed-, random-, and mixed-effects models ; Split-plot, repeated measures, and crossover designs ; Analysis of variance for some unbalanced designs.
Other Titles: Statistical methods and data analysis
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Abstract:

This book is about Statistics and the Scientific Method. Using Surveys and Scientific Studies to Collect Data, Probability And Probability Distributions, Inferences about Population Central Values, Multiple Regression and the General Linear Model. Including Analysis of Variance for Some Unbalanced Designs.

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