Statistics: Concepts and Controversies 9th edition

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David S. Moore and William I. Notz
Publisher: W. H. Freeman

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  • Chapter 1: Where Do Data Come From?
    • 1.1: Talking about data: Individuals and variables
    • 1.2: Observational studies
    • 1.3: Sample surveys
    • 1.4: Census
    • 1.5: Experiments
    • 1: Check the Basics
    • 1: Exercises

  • Chapter 2: Samples, Good and Bad
    • 2.1: How to sample badly
    • 2.2: Simple random samples
    • 2.3: Can you trust a sample?
    • 2: Check the Basics
    • 2: Exercises

  • Chapter 3: What Do Samples Tell Us?
    • 3.1: From sample to population
    • 3.2: Sampling variability
    • 3.3: Margin of error and all that
    • 3.4: Confidence statements
    • 3.5: Sampling from large populations
    • 3.6: Statistical Controversies: Should Election Polls Be Banned?
    • 3: Check the Basics
    • 3: Exercises

  • Chapter 4: Sample Surveys in the Real World
    • 4.1: How sample surveys go wrong
    • 4.2: Sampling errors
    • 4.3: Nonsampling errors
    • 4.4: Wording questions
    • 4.5: How to live with nonsampling errors
    • 4.6: Sample design in the real world
    • 4.7: The challenge of Internet surveys
    • 4.8: Statistical Controversies: The Harris Online Poll
    • 4.9: Probability samples
    • 4.10: Questions to ask before you believe a poll
    • 4: Check the Basics
    • 4: Exercises

  • Chapter 5: Experiments, Good and Bad
    • 5.1: Talking about experiments
    • 5.2: How to experiment badly
    • 5.3: Randomized comparative experiments
    • 5.4: The logic of experimental design
    • 5.5: Statistical significance
    • 5.6: How to live with observational studies
    • 5: Check the Basics
    • 5: Exercises

  • Chapter 6: Experiments in the Real World
    • 6.1: Equal treatment for all
    • 6.2: Double-blind experiments
    • 6.3: Refusals, nonadherers, and dropouts
    • 6.4: Can we generalize?
    • 6.5: Experimental design in the real world
    • 6.6: Matched pairs and block designs
    • 6.7: Statistical Controversies: Is It or Isn't It a Placebo?
    • 6: Check the Basics
    • 6: Exercises

  • Chapter 7: Data Ethics
    • 7.1: First principles
    • 7.2: Institutional review boards
    • 7.3: Informed consent
    • 7.4: Confidentiality
    • 7.5: Clinical trials
    • 7.6: Statistical Controversies: Hope for Sale?
    • 7.7: Behavioral and social science experiments
    • 7: Check the Basics
    • 7: Exercises

  • Chapter 8: Measuring
    • 8.1: Measurement basics
    • 8.2: Know your variables
    • 8.3: Measurements, valid and invalid
    • 8.4: Statistical Controversies: SAT Exams in College Admissions
    • 8.5: Measurements, accurate and inaccurate
    • 8.6: Improving reliability, reducing bias
    • 8.7: Pity the poor psychologist
    • 8: Check the Basics
    • 8: Exercises

  • Chapter 9: Do the Numbers Make Sense?
    • 9.1: What didn't they tell us?
    • 9.2: Are the numbers consistent with each other?
    • 9.3: Are the numbers plausible?
    • 9.4: Are the numbers too good to be true?
    • 9.5: Is the arithmetic right?
    • 9.6: Is there a hidden agenda?
    • 9: Check the Basics
    • 9: Exercises
    • 9: Part I Review Exercises

  • Chapter 10: Graphs, Good and Bad
    • 10.1: Data tables
    • 10.2: Types of variables
    • 10.3: Pie charts and bar graphs
    • 10.4: Beware the pictogram
    • 10.5: Change over time: Line graphs
    • 10.6: Watch those scales!
    • 10.7: Making good graphs
    • 10: Check the Basics
    • 10: Exercises

  • Chapter 11: Displaying Distributions with Graphs
    • 11.1: Histograms
    • 11.2: Interpreting histograms
    • 11.3: Stemplots
    • 11: Check the Basics
    • 11: Exercises

  • Chapter 12: Describing Distributions with Numbers
    • 12.1: Median and quartiles
    • 12.2: The five-number summary and boxplots
    • 12.3: Statistical Controversies: Income Inequality
    • 12.4: Mean and standard deviation
    • 12.5: Choosing numerical descriptions
    • 12: Check the Basics
    • 12: Exercises

  • Chapter 13: Normal Distributions
    • 13.1: Density curves
    • 13.2: The center and variability of a density curve
    • 13.3: Normal distributions
    • 13.4: The 68–95–99.7 rule
    • 13.5: Standard scores
    • 13.6: Percentiles of Normal distributions
    • 13: Check the Basics
    • 13: Exercises

  • Chapter 14: Describing Relationships: Scatterplots and Correlation
    • 14.1: Scatterplots
    • 14.2: Interpreting scatterplots
    • 14.3: Correlation
    • 14.4: Understanding correlation
    • 14: Check the Basics
    • 14: Exercises

  • Chapter 15: Describing Relationships: Regression, Prediction, and Causation
    • 15.1: Regression lines
    • 15.2: Regression equations
    • 15.3: Understanding prediction
    • 15.4: Correlation and regression
    • 15.5: The question of causation
    • 15.6: Statistical Controversies: Gun Control and Crime
    • 15.7: Evidence for causation
    • 15.8: Correlation, prediction, and big data
    • 15: Check the Basics
    • 15: Exercises

  • Chapter 16: The Consumer Price Index and Government Statistics
    • 16.1: Index numbers
    • 16.2: Fixed market basket price indexes
    • 16.3: Using the CPI
    • 16.4: Understanding the CPI
    • 16.5: Statistical Controversies: Does the CPI Overstate Inflation?
    • 16.6: The place of government statistics
    • 16.7: The question of social statistics
    • 16: Check the Basics
    • 16: Exercises
    • 16: Part II Review Exercises

  • Chapter 17: Thinking about Chance
    • 17.1: The idea of probability
    • 17.2: The ancient history of chance
    • 17.3: Myths about chance behavior
    • 17.4: Personal probabilities
    • 17.5: Probability and risk
    • 17: Check the Basics
    • 17: Exercises

  • Chapter 18: Probability Models
    • 18.1: Probability models
    • 18.2: Probability rules
    • 18.3: Probability and odds
    • 18.4: Probability models for sampling
    • 18: Check the Basics
    • 18: Exercises

  • Chapter 19: Simulation
    • 19.1: Where do probabilities come from?
    • 19.2: Simulation basics
    • 19.3: Thinking about independence
    • 19.4: More elaborate simulations
    • 19: Check the Basics
    • 19: Exercises

  • Chapter 20: The House Edge: Expected Values
    • 20.1: Expected values
    • 20.2: The law of large numbers
    • 20.3: Thinking about expected values
    • 20.4: Statistical Controversies: The State of Legalized Gambling
    • 20.5: Finding expected values by simulation
    • 20: Check the Basics
    • 20: Exercises
    • 20: Part III Review Exercises

  • Chapter 21: What Is a Confidence Interval?
    • 21.1: Estimating
    • 21.2: Estimating with confidence
    • 21.3: Understanding confidence intervals
    • 21.4: More on confidence intervals for a population proportion
    • 21.5: The sampling distribution of a sample mean
    • 21.6: Confidence intervals for a population mean
    • 21: Check the Basics
    • 21: Exercises

  • Chapter 22: What Is a Test of Significance?
    • 22.1: The reasoning of statistical tests of significance
    • 22.2: Hypotheses and P-values
    • 22.3: Statistical significance
    • 22.4: Calculating P-values
    • 22.5: Tests for a population mean
    • 22: Check the Basics
    • 22: Exercises

  • Chapter 23: Use and Abuse of Statistical Inference
    • 23.1: Using inference wisely
    • 23.2: The woes of significance tests
    • 23.3: The advantages of confidence intervals
    • 23.4: Significance at the 5% level isn't magical
    • 23.5: Statistical Controversies: Should Hypothesis Tests Be Banned?
    • 23.6: Beware of searching for significance
    • 23.7: Inference as decision
    • 23: Check the Basics
    • 23: Exercises

  • Chapter 24: Two-Way Tables and the Chi-Square Test
    • 24.1: Two-way tables
    • 24.2: Inference for a two-way table
    • 24.3: The chi-square test
    • 24.4: Using the chi-square test
    • 24.5: Simpson's paradox
    • 24: Check the Basics
    • 24: Exercises
    • 24: Part IV Review Exercises


Statistics: Concepts and Controversies, 9th edition, by Moore and Notz introduces liberal arts majors to statistical ideas and shows them how to use those ideas to think about the statistical claims they see every day, from polls, campaigns, advertising, public policy, and many different fields of study. The ultimate goal is to equip students with solid statistical reasoning skills that will help them understand the impact of statistics on all aspects of our lives. The new edition offers SCC's signature combination of engaging cases, real-life examples and exercises, helpful pedagogy, rich full-color design, and innovative media learning tools, all significantly updated. The WebAssign component for this title engages students with many resources and links to a complete eBook.

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  • Each question links to the corresponding section of a complete, interactive eBook.
  • Detailed, worked-out solutions for all questions are available to students at your discretion.
  • Instructor resources include an ISM, an Instructor's Guide, Lecture Slides, Image Slides, Practice Quizzes, and a Test Bank.
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Questions Available within WebAssign

Many questions from this textbook are available in WebAssign. The online questions are identical to the textbook questions except for minor wording changes necessary for Web use. Whenever possible, variables, numbers, or words have been randomized so that each student receives a unique version of the question. This list is updated nightly.

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Group Quantity Questions
Chapter 1: Where Do Data Come From?
1 0  
Chapter 2: Samples, Good and Bad
2 0  
Chapter 3: What Do Samples Tell Us?
3 0  
Chapter 4: Sample Surveys in the Real World
4 0  
Chapter 5: Experiments, Good and Bad
5 0  
Chapter 6: Experiments in the Real World
6 0  
Chapter 7: Data Ethics
7 0  
Chapter 8: Measuring
8 0  
Chapter 9: Do the Numbers Make Sense?
9 0  
Chapter 10: Graphs, Good and Bad
10 0  
Chapter 11: Displaying Distributions with Graphs
11 0  
Chapter 12: Describing Distributions with Numbers
12 0  
Chapter 13: Normal Distributions
13 0  
Chapter 14: Describing Relationships: Scatterplots and Correlation
14 0  
Chapter 15: Describing Relationships: Regression, Prediction, and Causation
15 0  
Chapter 16: The Consumer Price Index and Government Statistics
16 0  
Chapter 17: Thinking about Chance
17 0  
Chapter 18: Probability Models
18 0  
Chapter 19: Simulation
19 0  
Chapter 20: The House Edge: Expected Values
20 0  
Chapter 21: What Is a Confidence Interval?
21 0  
Chapter 22: What Is a Test of Significance?
22 0  
Chapter 23: Use and Abuse of Statistical Inference
23 0  
Chapter 24: Two-Way Tables and the Chi-Square Test
24 0  
Total 0