The Basic Practice of StatisticsThe Basic Practice of Statistics has become a bestselling textbook by focusing on how statistics are gathered, analyzed, and applied to real problems and situations--and by confronting student anxieties about the course's relevance and difficulties head on. With David Moore's pioneering "data analysis" approach (emphasizing statistical thinking over computation), engaging narrative and case studies, current problems and exercises, and an accessible level of mathematics, there is no more effective textbook for showing students what working statisticians do and what accurate interpretations of data can reveal about the world we live in. In the new edition, you will once again see how everything fits together. As always, Moore's text offers balanced content, beginning with data analysis, then covering probability and inference in the context of statistics as a whole. It provides a wealth of opportunities for students to work with data from a wide range of disciplines and real-world settings, emphasizing the big ideas of statistics in the context of learning specific skills used by professional statisticians. Thoroughly updated throughout, the new edition offers new content, features, cases, data sources, and exercises, plus new media support for instructors and students--including the latest version of the widely-adopted StatsPortal. The full picture of the contemporary practice of statistics has never been so captivatingly presented to an uninitiated audience. |
Contents
Exploring Data | 1 |
Time plots | 23 |
CHAPTER | 25 |
Describing Distributions with Numbers | 39 |
CHAPTER 3 | 58 |
CHAPTER 4 | 148 |
Part I Review | 177 |
PART | 192 |
Regression | 523 |
TwoWay Tables | 530 |
Part I Review | 541 |
From Exploration to Inference 198 | 558 |
PRODUCING DATA | 595 |
Experiments | 625 |
Comparing Several Means | 633 |
Nonparametric Tests | 25-1 |
From Exploration to Inference | 198 |
CHAPTER 1 | 219 |
CHAPTER 14 | 245 |
Informed consent | 251 |
CHAPTER 10 | 261 |
CHAPTER 11 | 282 |
Sampling Distributions | 291 |
CHAPTER 15 | 393 |
CHAPTER 16 | 421 |
Optional Exercises | 433 |
Picturing Distributions | 440 |
CHAPTER 13 | 448 |
TwoSample Problems | 471 |
Scatterplots and Correlation | 484 |
Population Proportion | 501 |
CHAPTER 20 | 518 |
CHAPTER 21 | 25-22 |
KruskalWallis test 2525 | 25-25 |
Part III Review | 25-36 |
DATA ETHICS | 26-2 |
Introducing Probability | 26-10 |
CHAPTER 22 | 26-22 |
Sampling Distributions | 26-39 |
261 | 27-1 |
Statistical Process Control | 27-26 |
Binomial Distributions | 27-54 |
The ChiSquare Test 561 | 634 |
633 | 669 |
667 | 689 |
ANSWERS TO SELECTED EXERCISES | 697 |
725 | |
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Common terms and phrases
adults ANOVA applet APPLY YOUR KNOWLEDGE asked average binomial binomial distribution calculator categorical variable CHAPTER chi-square choose confidence interval control charts control limits correlation critical value degrees of freedom density curve describe digits estimate Example Exercise expected counts experiment Explain explanatory variable F statistic fat gain Figure five-number summary four-step process give height histogram individual least-squares line least-squares regression line lurking variables margin of error mean and standard mean ยต measure median Minitab Normal curve Normal distribution null hypothesis number of observations outcomes outliers output overall pattern P-value parameter percent plot points procedures quantitative variables quartiles random sample randomly regression model residuals response variable sample means sampling distribution scatterplot shows significant skewed slope standard deviation standard error standard Normal stemplot subjects treatment two-sample two-way table variation Wilcoxon women