An introduction to statistical methods & data analysis / R. Lyman Ott, Michael Longnecker, Texas A & M University.

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Ott and Longnecker's An Introduction to Statistical Methods & Data Analysis, seventh edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics. The authors teach stude...

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Bibliographic Details
Main Authors: Ott, Lyman (Author)
Longnecker, Michael (Author)
Language:English
Published: Boston, MA : Cengage Learning, [2016]
Edition:Seventh edition.
Subjects:
Mathematical statistics > Textbooks.
Mathematics.
Statistics.
Statistics as Topic.
Textbooks as Topic.
Mathématiques.
Statistiques.
Applied mathematics.
Mathematical statistics.
Textbooks.
Genre:
Textbooks.
Physical Description:xv, 1,174 pages : illustrations, graphs ; 26 cm
Variant Title:
Introduction to statistical methods and data analysis
Statistical methods & data analysis
Format: Book
Contents:
  • Preface
  • Introduction. Statistics and the scientific method
  • Collecting data. Using surveys and experimental studies to gather data
  • Summarizing data. Data description ; Probability and probability distributions
  • 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 ; Linear regression and correlation ; Multiple regression and the general linear model ; Further regression topics ; 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
  • Appendix : statistical tables
  • Answers to selected exercises
  • References
  • Index.