Statistics - Learning from Data
by Roxy Peck
Brooks Cole | January 2014 | ISBN-10: 0495553263 | 720 pages | True PDF | 67.1 mb

STATISTICS: LEARNING FROM DATA, by respected and successful author Roxy Peck, resolves common problems faced by learners of elementary statistics with an innovative approach. Peck tackles the areas learners struggle with most--probability, hypothesis testing, and selecting an appropriate method of analysis--unlike any book on the market. Probability coverage is based on current research that shows how users best learn the subject. Two unique chapters, one on statistical inference and another on learning from experiment data, address two common areas of confusion: choosing a particular inference method and using inference methods with experimental data. Supported by learning objectives, real-data examples and exercises, and technology notes, this brand new book guides readers in gaining conceptual understanding, mechanical proficiency, and the ability to put knowledge into practice.

About the Author 
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Roxy Peck is Emerita Associate Dean of the College of Science and Mathematics and Professor of Statistics Emerita at California Polytechnic State University, San Luis Obispo. A faculty member at Cal Poly from 1979 until 2009, Roxy served for six years as Chair of the Statistics Department before becoming Associate Dean, a position she held for 13 years. She received an M.S. in Mathematics and a Ph.D. in Applied Statistics from the University of California, Riverside. Roxy is nationally known in the area of statistics education, and she was presented with the Lifetime Achievement Award in Statistics Education at the U.S. Conference on Teaching Statistics in 2009.

CONTENTS
Overview 2
I.Collecting Data
1.Collecting Data in Reasonable Ways 8
II.Describing Data Distributions
2.Graphical Methods for Describing Data Distributions 44
3.Numerical Methods for Describing Data Distributions 110
4.Describing Bivariate Numerical Data 158
III.A Foundation for Inference: Reasoning About Probability
5.Probability 220
6.Random Variables and Probability Distributions 274
IV.Learning from Sample Data
7.An Overview of Statistical Inference—Learning from Data 342
8.Sampling Variability and Sampling Distributions 360
9.Estimating a Population Proportion 382
10.Asking and Answering Questions About a Population Proportion 420
11.Asking and Answering Questions About the Difference Between Two Population Proportions 458
12.Asking and Answering Questions About a Population Mean 482
13.Asking and Answering Questions About the Difference Between Two Population Means 528
V.Additional Opportunities to Learn from Data
14.Learning from Experiment Data 576
15.Learning from Categorical Data 600
16.Understanding Relationships—Numerical Data Part 2 (online)
17.Asking and Answering Questions About More Than Two Means (online)
 
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