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Statistics and data analysis an introduction

Combining the traditional foundations of statistical methods with the more modern ideas of data analysis, this text includes a range of problems that are both straightforward and challenging. The solution to each problem is described in a gradual progression of logical steps.

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Bibliographic Details
Main Author: Siegel, Andrew F.
Other Authors: Morgan, Charles J. (Charles John)
Format: Book
Language:English
Published: New York John Wiley 1996
Edition:2nd ed.
Subjects:
Statistics
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Table of Contents:
  • Introduction
  • The Shape of a Group of Numbers
  • Describing Distributions
  • Describing a Normal Distribution and Summarizing Binary Data
  • Basics of Data Transformation
  • Choosing a Description
  • Probability
  • Random Variables, Probability Distributions, and the Central Limit Theorem
  • Toward Statistical Inference
  • Confidence Intervals
  • Testing a Hypothesis About the Mean
  • Comparing Two Groups of Numbers
  • Analysis of Variance: Several Groups of Numbers
  • Categorical Data and Chi-Square Analysis
  • Bivariate Data and Regression
  • Appendix A: Table of Probabilities for a Standard Normal Random Variable
  • Appendix B: Table of Random Uniform Numbers Between 0 and 1
  • Appendix C: t-Tables
  • Appendix D: F-Tables
  • Appendix E: The Correlation Coefficient
  • Appendix F: Chi-square Tables
  • Appendix G: Nonparametric Confidence Interval and Sign Test

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