Test Bank for Statistics: Concepts and Controversies 9th Edition by David S. Moore, William I. Notz – Ebook PDF Instant Download/Delivery: 1464192936, 978-1464192937
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ISBN 10: 1464192936
ISBN 13: 978-1464192937
Author: David S. Moore, William I. Notz
Statistics Concepts and Controversies 9th Table of contents:
- Chapter 1: Where Do Data Come From?
- 1.1: Talking about data: Individuals and variables
- 1.2: Observational studies
- 1.3: Sample surveys (1)
- 1.4: Census
- 1.5: Experiments (1)
- 1: Check the Basics (4)
- 1: Exercises (7)
- 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 (4)
- 2: Exercises (6)
- 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 (1)
- 3.4: Confidence statements (1)
- 3.5: Sampling from large populations
- 3.6: Statistical Controversies: Should Election Polls Be Banned?
- 3: Check the Basics (5)
- 3: Exercises (10)
- 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 (3)
- 4: Exercises (12)
- Chapter 5: Experiments, Good and Bad
- 5.1: Talking about experiments
- 5.2: How to experiment badly
- 5.3: Randomized comparative experiments (1)
- 5.4: The logic of experimental design
- 5.5: Statistical significance
- 5.6: How to live with observational studies
- 5: Check the Basics (3)
- 5: Exercises (9)
- 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 (2)
- 6: Exercises (9)
- 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 (2)
- 7: Exercises (5)
- 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 (1)
- 8: Exercises (7)
- 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 (2)
- 9: Exercises (7)
- Chapter P1: Part I Review Exercises
- P1: Part I Review Exercises (11)
- 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 (9)
- Chapter 11: Displaying Distributions with Graphs
- 11.1: Histograms
- 11.2: Interpreting histograms
- 11.3: Stemplots
- 11: Check the Basics (2)
- 11: Exercises (7)
- 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 (1)
- 12: Exercises (8)
- 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 (2)
- 13: Exercises (8)
- 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 (1)
- 14: Exercises (9)
- 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 (2)
- 15: Exercises (7)
- 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 (12)
- Chapter P2: Part II Review Exercises
- P2: Part II Review Exercises (9)
- 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 (2)
- 17: Exercises (6)
- 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 (1)
- 18: Exercises (8)
- 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 (1)
- 19: Exercises (6)
- 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 (1)
- 20: Exercises (8)
- Chapter P3: Part III Review Exercises
- P3: Part III Review Exercises (10)
- 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 (5)
- 21: Exercises (12)
- 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 (4)
- 22: Exercises (8)
- 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 (5)
- 23: Exercises (8)
- 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 (5)
- 24: Exercises (7)
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