Statistics and Data Analysis An Introduction [Paperback]

Introductory statistics book for the non-technical person that integrates the traditional foundations of statistical inference with the more modern ideas of data analysis. The book is divided into three parts. Part One is concerned with data in general and with describing groups of numbers. Part Two develops the ideas of randomness, probability, and statistical inference. Part Three moves forward, applying these ideas to more complex data structures and the analysis of relationships.DESCRIBING GROUPS OF NUMBERS.

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, SAMPLING, AND TESTS OF STATISTICAL SIGNIFICANCE.

Probability.

Random Variables, Probability Distributions, and the Central Limit Theorem.

Toward Statistical Inference.

Confidence Intervals.

Testing a Hypothesis About the Mean.

MORE THAN ONE GROUP OF NUMBERS.

Comparing Two Groups of Numbers.

Analysis of Variance: Several Groups of Numbers.

Categorical Data and Chi-Square Analysis.

Bivariate Data and Regression.

Appendices.

Notes.

References.

Answers to Selected Problems.

Index.

Andrew F. Siegel holds the Grant I. Butterbaugh Professorship in Quantitative Methods and Finance at the Michael G. Foster School of Business, University of Washington, Seattle, and is also Adjunct Professor in the Department of Statistics. His Ph.D. is in statistics from Stanford University (1977). Before settling in Seattle, he held teaching and/ or research positions at Harvard University, the University ols*