Statistics: Concepts and Controversies, 10th Edition
- Length: 672 pages
- Edition: 10
- Language: English
- Publisher: W. H. Freeman
- Publication Date: 2019-10-28
- ISBN-10: 1319109020
- ISBN-13: 9781319109028
- Sales Rank: #376747 (See Top 100 Books)
There are books on statistical theory and books on statistical methods. This is neither. It is a book on statistical ideas and statistical reasoning and on their relevance to public policy and to the human sciences from medicine to sociology. We have included many elementary graphical and numerical techniques to give flesh to the ideas and muscle to the reasoning. Students learn to think about data by working with data. We have not, however, allowed technique to dominate concepts. Our intention is to teach verbally rather than algebraically, to invite discussion and even argument rather than mere computation, though some computation remains essential. The coverage is considerably broader than one might traditionally cover in a one-term course, as the table of contents reveals. In the spirit of general education, we have preferred breadth to detail.
Despite its informal nature, SCC is a textbook. It is organized for systematic study and has abundant exercises, many of which ask students to offer a discussion or make a judgment. Even those admirable individuals who seek pleasure in uncompelled reading should look at the exercises as well as the text. Teachers should be aware that the book is more serious than its low mathematical level suggests. The emphasis on ideas and reasoning asks more of the reader than many recipe-laden methods texts.
For the first time, SCC will publish with SaplingPlus as it’s full course digital solution. We’ll have a well developed library of both error specific feedback and generic feedback tutorial assessment, aligned to the main learning goals of the chapter and largely taken directly from the end-of-chapter exercises in the book. SaplingPlus will also host our robust suite of teaching and learning resources: Concept and Controversy videos, statistical applets, Learning Curve, data sets, and many more teaching and learning focused tools.
Part I Producing Data Chapter 1 Where Do Data Come From? Talking about Data: Individuals and Variables Observational Studies Sample Surveys Census Experiments Chapter 1 Summary and Exercises Chapter 1: Statistics in Summary Check the Basics Chapter 1 Exercises Chapter 2 Samples, Good and Bad How to Sample Badly Simple Random Samples Can You Trust a Sample? Chapter 2 Summary and Exercises Chapter 2: Statistics in Summary Check the Basics Chapter 2 Exercises Chapter 3 What Do Samples Tell Us From Sample to Population Sampling Variability Margin of Error and All That Confidence Statements Sampling from Large Populations Chapter 3 Summary and Exercises Chapter 3: Statistics in Summary Check the Basics Chapter 3 Exercises Chapter 4 Sample Surveys in the Real World How Sample Surveys Go Wrong Sampling Errors Nonsampling Errors Wording of Questions How to Live with Nonsampling Errors Sample Design in the Real World The Challenge of Internet Surveys Probability Samples Questions to Ask before You Believe a Poll Chapter 4 Summary and Exercises Chapter 4: Statistics in Summary Check the Basics Chapter 4 Exercises What’s the Verdict? Chapter 5 Experiments, Good and Bad Talking about Experiments How to Experiment Badly Randomized Comparative Experiments The Logic of Experimental Design Statistical Significance How to Live with Observational Studies Chapter 5 Summary and Exercises Chapter 5: Statistics in Summary Check the Basics Chapter 5 Exercises What’s the Verdict? Chapter 6 Experiments in the Real World Equal Treatment for All Double-Blind Experiments Refusals, Nonadherers, and Dropouts Can We Generalize? Experimental Design in the Real World Matched Pairs and Block Designs Chapter 6 Summary and Exercises Chapter 6: Statistics in Summary Check the Basics Chapter 6 Exercises What’s the Verdict? Chapter 7 Data Ethics First Principles Institutional Review Boards Informed Consent Confidentiality Clinical Trials Behavioral and Social Science Experiments Chapter 7 Summary and Exercises Chapter 7: Statistics in Summary Check the Basics Chapter 7 Exercises What’s the Verdict? Chapter 8 Measuring Measurement Basics Know Your Variables Measurements, Valid and Invalid Measurements, Accurate and Inaccurate Improving Reliability, Reducing Bias Measuring Psychological and Social Factors Chapter 8 Summary and Exercises Chapter 8: Statistics in Summary Check the Basics Chapter 8 Exercises Chapter 9 Do the Numbers Make Sense? What Didn’t They Tell Us? Are the Numbers Consistent with Each Other? Are the Numbers Plausible? Are the Numbers Too Good to Be True? Is the Arithmetic Right? Is There a Hidden Agenda? Chapter 9 Summary and Exercises Chapter 9: Statistics in Summary Check the Basics Chapter 9 Exercises Part I Review Part I Summary and Exercises Part I Summary Part I Review Exercises Part II Organizing Data Chapter 10 Graphs, Good and Bad Data Tables Types of Variables Pie Charts and Bar Graphs Beware the Pictogram Change Over Time: Line Graphs Watch Those Scales! Making Good Graphs Chapter 10 Summary and Exercises Chapter 10: Statistics in Summary Check the Basics Chapter 10 Exercises What’s the Verdict? Chapter 11 Displaying Distributions with Graphs Histograms Interpreting Histograms Stemplots Chapter 11 Summary and Exercises Chapter 11: Statistics in Summary Check the Basics Chapter 11 Exercises Chapter 12 Describing Distributions with Numbers Median and Quartiles The Five-Number Summary and Boxplots Mean and Standard Deviation Choosing Numerical Descriptions Chapter 12 Summary and Exercises Chapter 12: Statistics in Summary Check the Basics Chapter 12 Exercises Chapter 13 Normal Distributions Density Curves The Center and Variability of a Density Curve Normal Distributions The 68–95–99.7 Rule Standard Scores Percentiles of Normal Distributions* Chapter 13 Summary and Exercises Chapter 13: Statistics in Summary Check the Basics Chapter 13 Exercises Chapter 14 Describing Relationships: Scatterplots and Correlation Scatterplots Interpreting Scatterplots Multiple Variables Correlation Understanding Correlation Chapter 14 Summary and Exercises Chapter 14: Statistics in Summary Check the Basics Chapter 14 Exercises What’s the Verdict? Chapter 15 Describing Relationships: Regression, Prediction, and Causation Regression Lines Regression Equations Understanding Prediction Correlation and Regression The Question of Causation Evidence for Causation Correlation, Prediction, and Big Data Chapter 15 Summary and Exercises Chapter 15: Statistics in Summary Check the Basics Chapter 15 Exercises What’s the Verdict? Chapter 16 The Consumer Price Index and Government Statistics Index Numbers Fixed Market Basket Price Indexes Using the CPI Understanding the CPI The Place of Government Statistics The Question of Social Statistics Chapter 16 Summary and Exercises Chapter 16: Statistics in Summary Check the Basics Chapter 16 Exercises What’s the Verdict? Part II Review Part II Summary and Exercises Part II Summary Part II Review Exercises Part III Chance Chapter 17 Thinking about Chance The Idea of Probability The Ancient History of Chance Myths about Chance Behavior Personal Probabilities Probability and Risk Chapter 17 Summary and Exercises Chapter 17: Statistics in Summary Check the Basics Chapter 17 Exercises Chapter 18 Probability Models Probability Models Probability Rules Probability and Odds Probability Models for Sampling Chapter 18 Summary and Exercises Chapter 18: Statistics in Summary Check the Basics Chapter 18 Exercises What’s the Verdict? Chapter 19 Simulation Where Do Probabilities Come From? Simulation Basics Thinking about Independence More Elaborate Simulations Chapter 19 Summary and Exercises Chapter 19: Statistics in Summary Check the Basics Chapter 19 Exercises Chapter 20 The House Edge: Expected Values Expected Values The Law of Large Numbers Thinking about Expected Values Finding Expected Values by Simulation Chapter 20 Summary and Exercises Chapter 20: Statistics in Summary Check the Basics Chapter 20 Exercises What’s the Verdict? Part III Review Part III Summary and Exercises Part III Summary Part III Review Exercises Part IV Inference Chapter 21 What Is a Confidence Interval? Estimating Estimating with Confidence Understanding Confidence Intervals More on Confidence Intervals for a Population Proportion* The Sampling Distribution of a Sample Mean* Confidence Intervals for a Population Mean* Chapter 21 Summary and Exercises Chapter 21: Statistics in Summary Check the Basics Chapter 21 Exercises Chapter 22 What Is a Test of Significance? The Reasoning of Statistical Tests of Significance Hypotheses and P-values Statistical Significance Calculating P-values* Tests for a Population Mean* Chapter 22 Summary and Exercises Chapter 22: Statistics in Summary Check the Basics Chapter 22 Exercises Chapter 23 Use and Abuse of Statistical Inference Using Inference Wisely The Woes of Significance Tests The Advantages of Confidence Intervals Significance at the 5% Level Isn’t Magical Beware of Searching for Significance Inference as Decision* Chapter 23 Summary and Exercises Chapter 23: Statistics in Summary Check the Basics Chapter 23 Exercises What’s the Verdict? Chapter 24 Two-Way Tables and the Chi-Square Test* Two-Way Tables Inference for a Two-Way Table The Chi-Square Test Using the Chi-Square Test Simpson’s Paradox Chapter 24 Summary and Exercises Chapter 24: Statistics in Summary Check the Basics Chapter 24 Exercises Part IV Review Part IV Summary and Exercises Part IV Summary Part IV Review Exercises Resolving the Controversy Answers to “Now It’s Your Turn” Exercises Answers to Odd-Numbered Exercises Answers to “What’s the Verdict?” Exercises Index Tables Notes and Data Sources Back Cover
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