Statistics: Concepts and Controversies

Front Cover
The data analysis approach pioneered by David Moore was first introduced in this groundbreaking brief text for liberal arts students. By emphasizing concepts and applications to a wide range of fields (as opposed to formulas and computation) the text has become an influential bestseller, and its emphasis on ideas and data is now generally acknowledged as the most effective way to teach statistics to nonmathematical students. Featuring new coauthor, William Notz and new features, exercises, and applications, the sixth edition of Stastisics: Concepts and Controversies is ready to reveal the power of statistics to a new generation of students.
 

Contents

Producing Data
1
Where Do Data Come From?
3
Sample surveys 8 Census 11 Experiments 11 Statistics in Summary
13
Samples Good and Bad
20
How to sample badly 20 Simple random samples 22 Can you trust
28
What Do Samples Tell Us?
33
From sample to population 34 Sampling variability 35 Margin of error
43
Exploring the Web 51 Notes and Data Sources
51
Interpreting scatterplots 272 Correlation
274
Understanding correlation 276 Statistics in Summary 279 EESEE
280
Exercises 280 Exploring the Web
288
Regression Prediction and Causation
289
Exercises 303 Exploring the Web 312 Notes and Data
312
Index numbers 315 Fixed market basket price indexes 316 Using
326
Exercises 327 Exploring the Web 332 Notes and Data
333
Summary 335 Part II Review Exercises 337 Part II Projects
345

Sample Surveys in the Real World
53
Wording questions
59
Statistics in Summary
65
Exploring the Web 73 Notes and Data Sources
73
Experiments Good and Bad
76
Statistics in Summary 86 EESEE 87 Chapter 5 Exercises 87 Exploring
93
Experiments in the Real World
95
Equal treatment for all 95 Doubleblind experiments 96 STATISTICAL
113
Data Ethics
115
Hope
131
Measuring
134
Measurement basics 134 Know your variables 136 Measurements valid
152
Do the Numbers Make Sense?
154
Statistics in Summary 162 EESEE 162 Chapter 9 Exercises 163 Exploring
167
Organizing Data
179
Data tables 183 Pie charts and bar graphs 184 Beware the pictogram
187
line graphs 187 Watch those scales 189 Making good
193
Notes and Data Sources
202
Displaying Distributions with Graphs
203
Interpreting histograms 208 Stemplots 213 Statistics
222
Describing Distributions with Numbers
223
Median and quartiles 224 The fivenumber summary and boxplots
228
Income
246
Normal Distributions
248
Density curves 251 The center and spread of a density curve 252 Normal
257
Chapter 13 Exercises 261 Exploring the Web 267 Notes
267
Scatterplots and Correlation
268
Chance
349
Thinking about Chance
351
The idea of probability 352 The ancient history of chance 354 Myths
363
Probability Models
369
Probability models 369 Probability rules 370 Probability models
376
Notes and Data Sources
382
Simulation
383
Where do probabilities come from? 384 Simulation basics 384 Thinking
399
Expected Values
400
expected values
405
Gambling
406
Notes and Data Sources
413
Notes and Data Sources
421
Inference
423
Estimating with confidence 427 Understanding
436
Sources
447
What Is a Test of Significance?
449
Statistical significance 456 Calculating Pvalues 457 Tests for
469
Use and Abuse of Statistical Inference
471
Using inference wisely 472 The woes of significance tests 474
484
TwoWay Tables and the ChiSquare Test
485
Twoway tables 486 Simpsons paradox 487 Inference for a twoway
495
Statistics in Summary 498 EESEE 498 Chapter 24 Exercises 498 Notes
503
Review
505
Solutions to Selected Exercises
528
Resolving the Controversy
545
Copyright

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About the author (2006)

DAVID S. MOORE is Shanti S. Gupta Distinguished Professor of Statistics at Purdue University, USA. He received his A.B. from Princeton (1962) and the Ph.D. from Cornell (1967), both in Mathematics. He has written many research papers in statistical theory and served on the editorial boards of several major journals. Professor Moore is an elected fellow of the American Statistical Association and of the Institute of Mathematical Statistics, and an elected member of the International Statistical Institute. He has served as programme director for statistics and probability at the National Science Foundation. He was 1998 President of the American Statistical Association.

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