De Veaux Map

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Revision as of 17:10, 17 November 2018 by Carver (talk | contribs) (Chapter 4: Understanding and Comparing Distributions)
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Chapter 1: Exploring and Understanding Data

  • 1.1: What is Statistics?
  • 1.2: Data
  • 1.3: Variables
Types of Variables: Categorical, Quantitative, Identifier, Ordinal

Chapter 2: Displaying and Describing Categorical Data

  • 2.1: Summarizing and Displaying a Single Categorical Variable
The area principle
Frequency tables
Bar charts
Pie charts
  • 2.2: Exploring the Relationship Between Two Categorical Variables
Contingency tables
Conditional distributions
Independence
Plotting conditional distributions (with pie charts, bar charts and segmented bar charts)

Chapter 3: Displaying and Displaying Quantitative Data

  • 3.1: Displaying Quantitative Variables
Histograms
Stem and leaf displays
Dotplots
  • 3.2: Shape
Unimodal, bimodal or multimodal
Symmetric or skewed
Outliers
  • 3.3: Center
Median
  • 3.4: Spread
Range, min, max
Interquartile range, Q1, Q3
  • 3.5: Boxplots and 5-Number Summaries
  • 3.6: The Center of a Symmetric Distribution: The Mean
Mean or Median?
  • 3.7: The Spread of a Symmetric Distribution: The Standard Deviation
  • 3.8: Summary---What to Tell About a Quantitative Variable

Chapter 4: Understanding and Comparing Distributions

  • 4.1: Comparing Groups with Histograms
  • 4.2: Comparing Groups with Boxplots
  • 4.3: Outliers
  • 4.4: Timeplots
  • 4.5: Re-Expressing Data: A First Look
...To improve symmetry
...To equalize spread across groups