Statistics: Concepts and Controversies plus LaunchPad

Ideal for undergraduate Social Sciences or Humanities students studying courses involving statistics, i.e. Psychology

List of contents

To the Teacher: Statistics as a Liberal Discipline.- Applications Index.- Prelude: Making Sense of Statistics.- Statistics and You: What Lies ahead in This Book.- About the Authors.- PART I Producing Data.- 1 Where Do Data Come From?.- Case Study.- Talking about data: individuals and variables.- Observational studies.- Sample surveys.- Census.- Experiments.- Statistics in Summary.- Link It.- Case Study Evaluated.- LaunchPad Online Resources.- Check the Basics.- Exploring the Web.- 2 Samples, Good and Bad.- Case Study.- How to sample badly.- Simple random samples.- Can you trust a sample.- Statistics in Summary.- Link It.- Case Study Evaluated.- LaunchPad Online Resources.- Check the Basics.- Chapter 2 Exercises.- Exploring the Web.- 3 What Do Samples Tell Us?.- Case Study From sample to population.- Sampling variability.- Margin of error and all that.- Confidence statements.- Sampling from large populations.- Statistical Controversies: Should Election Polls Be Banned?.- Statistics in Summary.- Link It.- Case Study Evaluated.- LaunchPad Online Resources.- Check the Basics.- Chapter 3 Exercises.- Exploring the Web.- 4 Sample Surveys in the Real World.- Case Study  How sample surveys go wrong.- Sampling errors.- Nonsampling errors.- Wording questions.- How to live with nonsampling errors.- Sample design in the real world.- The challenge of Internet surveys.- Statistical Controversies: The Harris Online Poll.- Probability samples.- Questions to ask before you believe a poll.- Statistics in Summary.- Link It.- Case Study Evaluated.- LaunchPad Online Resources.- Check the Basics.- Chapter 4 Exercises.- Exploring the Web.- 5 Experiments, Good and Bad.- Case Study.- Talking about experiments.- How to experiment badly.-Randomized comparative experiments.- The logic of experimental design.- Statistical significance.- How to live with observational studies.- Statistics in Summary.- Link It.- Case Study Evaluated.- LaunchPad Online Resources.- Check the Basics.- Chapter 5.- Exercises.- Exploring the Web.- 6 Experiments in the Real World.- Case Study.- 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.- Statistical Controversies: Is It or Isn’t It a Placebo?.- Statistics in Summary.- Link It.- Case Study Evaluated.- LaunchPad Online Resources.- Check the Basics.- Chapter 6.- Exercises.- Exploring the Web.- 7 Data Ethics.- Case Study.- First principles.- Institutional review boards  Informed consent  Confidentiality  Clinical trials  Statistical Controversies: Hope for Sale?  Behavioral and social science experiments  Statistics in Summary  Link It  Case Study Evaluated  LaunchPad Online Resources  Check the Basics  Chapter 7 Exercises  Exploring the Web.- 8 Measuring.- 9 Do the Numbers Make Sense?.- Part I Review.- Part I Summary  Part I Review Exercises  Part I Projects.- PART II Organizing Data.- 10 Graphs, Good and Bad.- 11 Displaying Distributions with Graphs.- 11 Exercises  Exploring the Web.- 12 Describing Distributions with Number.- 13 Normal Distributions.- 14 Describing Relationships: Scatterplots and Correlation.- 15 Describing Relationships: Regression, Prediction, and Causation.- 16 The Consumer Price Index and Government Statistics.- Part II Review.- Part II Summary  Part II.- Review Exercises.-  Part II Projects.- PART III Chance.- 17 Thinking about Chance.- Chapter 17 Exercises  Exploring the Web.- 18 Probability Models.- Chapter 18 Exercises  Exploring the Web.- 19 Simulation.- Chapter 19 Exercises  Exploring the Web.- 20 The House Edge: Expected Values.- Chapter 20 Exercises  Exploring the Web.- Part III Review.- Part III Summary  Part III Review Exercises  Part III Projects.- PART IV Inference.- 21 What Is a Confidence Interval?.- Chapter 21 Exercises  Exploring the Web.- 22 What Is a Test of Significance?.- Chapter 22 Exercises  Exploring the Web.- 23 Use and Abuse of Statistical Inference.- Chapter 23 Exercises  Exploring the Web.- 24 Two-Way Tables and the Chi-Square Test.- Chapter 24 Exercises  Exploring the Web.- Part IV Review.- Part IV Summary  Part IV Review Exercises  Part IV Projects.- Notes and Data Sources.- Resolving the Controversy.- Solutions to Now It’s Your Turn Exercises.- Answers to Odd-Numbered Exercises.- Index.- Table A Random digits.- Table B Percentiles of the Normal distributions. 

About the author

David S. Moore is Shanti S. Gupta Distinguished Professor of Statistics, Emeritus, at Purdue University and was 1998 president of the American Statistical Association. He 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 program director for statistics and probability at the National Science Foundation.  He is the author of influential articles on statistics education and of several leading texts.

William I. Notz is Professor of Statistics at the Ohio State University. His first academic job was as an assistant professor in the Department of Statistics at Purdue University. While there, he taught the introductory concepts course with Professor Moore and as a result of this experience he developed an interest in statistical education.

Summary

David Moore and William Notz’s Statistics: Concepts and Controversies introduces students who are not specialising in statistics to statistical ideas—and shows them how 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 impact of statistics on all aspects of our lives.

The new edition offers the textbook'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.

This version includes textbook and LaunchPad access, our online course space, which combines an interactive e-Book with high-quality multimedia content and ready-made assessment options, including LearningCurve adaptive quizzing and coded machine-gradable exercises from the textbook. Features include:

• Pre-built Units for each chapter, curated by experienced educators, with media for that chapter organized and ready to assign or customize to suit your course.
  
• Intuitive and useful analytics, with a Gradebook that lets you see how your class is doing individually and as a whole.
  
• A streamlined and intuitive interface that lets you build an entire course in minutes.
  

  

Request a demo or instructor access

Product details

• Authors: David Moore, David S Moore, David S. Moore, William Notz, William I Notz
• Publisher: Macmillan International Higher Education
• Languages: English
• Product format: Paperback / Softback
• Released: 31.12.2017
• EAN: 9781352001419
• ISBN: 978-1-352-00141-9
• No. of pages: 672
• Dimensions: 189 mm x 233 mm x 28 mm
• Weight: 931 g
• Series: WH Freeman
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics