Difference between revisions of "De Veaux Map"
From Sean_Carver
(→Chapter 2: Displaying and Describing Categorical Data) |
(→Chapter 2: Displaying and Describing Categorical Data) |
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| Line 13: | Line 13: | ||
:::Bar charts | :::Bar charts | ||
:::Pie charts | :::Pie charts | ||
| − | * 2.2: Exploring the Relationship Between Two Categorical Variables | + | * 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 == | == Chapter 3: Displaying and Displaying Quantitative Data == | ||
Revision as of 16:35, 17 November 2018
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
- 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
