Statistics: Concepts and ControversiesThe 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 |
Common terms and phrases
adults assign average bias calculator cancer census chance Chapter clinical trials confidence interval correlation counts density curve describe dollars EESEE effect estimate exactly example Exercise expected value explanatory variable five-number summary Gallup give histogram households humerus income index number individuals interviewed large numbers least-squares look lurking variables margin of error measure median method million normal curve normal distribution observations opinion poll outcomes outliers overall P-value parameter patients pattern percent percentage percentile personal probability placebo plot population proportion predict Price Index probability model quartiles questions random digits random sample randomized comparative experiment regression line repetitions researchers response variable sample proportion sample survey sampling distribution SAT scores scatterplot shows simple random sample simulate skewed standard deviation standard score stemplot straight-line stratified sample subjects Table treatment true weight winning women