Beginning Statistics with Data Analysis (gnv64)

Beginning Statistics with Data Analysis (Dover Books on Mathematics)
by Frederick Mosteller, Stephen E. Fienberg and Robert E.K. Rourke
Dover Publications Reprint | September 2013 | ISBN-10: 0486492710 | ePUB | 364 pages | 27.8 mb
http://www.amazon.com/Beginning-Statistics-Analysis-Dover-Mathematics/dp/0486492710

This introduction to the world of statistics draws examples from a broad range of applications, including business, government, medicine, social sciences, biology, and everyday life. The first four chapters present a brief course in exploratory data analysis. The authors place special emphasis on methods for collecting data and offer an elementary treatment of multiple regression. A concluding chapter on the design of comparative experiments links the basic ideas of design to previously discussed methods of analysis. Each chapter and section concludes with review problems. Suitable for undergraduate students, the text requires only one year of high school algebra.
This authoritative treatment was co-written by Frederick Mosteller, one of the twentieth century's preeminent statisticians and the founding chairman of Harvard's Department of Statistics, and Stephen Fienberg, a leader of statistics departments at the University of Minnesota and Carnegie Mellon University and who is internationally known for innovative statistical research and its application to social science and public policy.

CONTENTS
1 Frequency Distributions
2 Summarizing and Comparing Distributions
3 Finiding and Summarizing Relaitionships
4 Analysis of One-Way and Two-Way Tables
5 Gathering Data
6 Sampling of Attributes
7 Large Samples, the Normal Approximation, and Drawing Random Samples
8 Probability
9 Comparisons for Proportions and Counts
10 Comparisons for Measurements
11 Fitting Straight Lines Using Least Squares
12 The Linear Regression Model and Its Use
13 Regression with Two Predictors
14 Multiple Regression
15 Analysis of Variance
16 N onparametric Methods
17 Ideas of Experimentation
Appendix I Summations and Subscripts
Appendix II Formulas for Least -Squares Coefficients for Regression with Two Predictors
Appendix III Tables
Short Answers to Selected Problems
Index to Data Sets and Examples
General Index

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