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Introduction to statistics and data analysis Roxy Peck, Chris Olsen & Jay Devore

By: Contributor(s): Material type: TextPublication details: Belmont, CA Thomson / BrooksCole 2008Edition: 3rd edDescription: xxvii, 895p. : ill. 26cmISBN:
  • 9780495118886
Subject(s): LOC classification:
  • QA276.12 .P4335
Contents:
Chapter 1. The Role of Statistics and the Data Analysis Chapter 2. Collecting Data Sensibly Chapter 3. Graphical Methods for Describing Data Chapter 4. Numerical Methods for Describing Data Chapter 5. Summarizing Bivariate Data Chapter 6. Probability Chapter 7. Random Variables and Probability Distributions Chapter 8. Sampling Variability and Sampling Distributions Chapter 9. Estimation Using a Single Sample Chapter 10. Hypothesis Testing Using a Single Sample Chapter 11. Comparing Two Populations or Treatments Chapter 12. The Analysis of Categorical Data and Goodness-of-Fit Test Chapter 13. Simple Linear Regression and Correlation: Inferential Methods Chapter 14. Multiple Regression Analysis Chapter 15. Analysis of Variance Chapter 16. Nonparametric (Distribution -Free) Statistical Methods
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Books Methodist University Library Main General Stacks Reference QA276.12 .P4335 (Browse shelf(Opens below)) Available 36842

Includes index

Chapter 1. The Role of Statistics and the Data Analysis
Chapter 2. Collecting Data Sensibly
Chapter 3. Graphical Methods for Describing Data
Chapter 4. Numerical Methods for Describing Data
Chapter 5. Summarizing Bivariate Data
Chapter 6. Probability
Chapter 7. Random Variables and Probability Distributions
Chapter 8. Sampling Variability and Sampling Distributions
Chapter 9. Estimation Using a Single Sample
Chapter 10. Hypothesis Testing Using a Single Sample
Chapter 11. Comparing Two Populations or Treatments
Chapter 12. The Analysis of Categorical Data and Goodness-of-Fit Test
Chapter 13. Simple Linear Regression and Correlation: Inferential Methods
Chapter 14. Multiple Regression Analysis
Chapter 15. Analysis of Variance
Chapter 16. Nonparametric (Distribution -Free) Statistical Methods

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