Difference between revisions of "De Veaux Map"
From Sean_Carver
(→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: | + | == 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) | ||
+ | |||
+ | == 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 |
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