Difference between revisions of "De Veaux Map"

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(Chapter 2: Exploring Relationships Between Variables)
(Chapter 2: Exploring Relationships Between Variables)
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* 1.3: Variables (Categorical, Quantitative, Identifier, Ordinal)
 
* 1.3: Variables (Categorical, Quantitative, Identifier, Ordinal)
  
== Chapter 2: Exploring Relationships Between Variables ==
+
== Chapter 2: Displaying and Describing Categorical Data ==
  
 
* 2.1: Summarizing and Displaying a Single Categorical Variable (area principle, frequency tables, bar charts, pie charts)
 
* 2.1: Summarizing and Displaying a Single Categorical Variable (area principle, frequency tables, bar charts, pie charts)
 
* 2.2: Exploring the Relationship Between Two Categorical Variables (contingency tables, conditional distributions, independence, and plotting conditional distributions with pie charts, bar charts and segmented bar charts)
 
* 2.2: Exploring the Relationship Between Two Categorical Variables (contingency tables, conditional distributions, independence, and plotting conditional distributions with pie charts, bar charts and segmented bar charts)
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 +
== Chapter 3: Displaying and Displaying Quantitative Data
 +
 +
* 3.1: Displaying Quantitative Variables
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* 3.2: Shape
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* 3.3: Center
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* 3.4: Spread
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* 3.5: Boxplots and 5-Number Summaries
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* 3.6: The Center of a Symmetric Distribution: The Mean
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* 3.7: The Spread of a Symmetric Distribution: The Standard Deviation
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* 3.8: Summary---What to ''Tell'' About a Quantitative Variable

Revision as of 16:32, 17 November 2018

Chapter 1: Exploring and Understanding Data

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

Chapter 2: Displaying and Describing Categorical Data

  • 2.1: Summarizing and Displaying a Single Categorical Variable (area principle, frequency tables, bar charts, pie charts)
  • 2.2: Exploring the Relationship Between Two Categorical Variables (contingency tables, conditional distributions, independence, and plotting conditional distributions with pie charts, bar charts and segmented bar charts)

== Chapter 3: Displaying and Displaying Quantitative Data

  • 3.1: Displaying Quantitative Variables
  • 3.2: Shape
  • 3.3: Center
  • 3.4: Spread
  • 3.5: Boxplots and 5-Number Summaries
  • 3.6: The Center of a Symmetric Distribution: The Mean
  • 3.7: The Spread of a Symmetric Distribution: The Standard Deviation
  • 3.8: Summary---What to Tell About a Quantitative Variable