This preview shows pages 1–2. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.View Full Document
Unformatted text preview: 1 STA2023 – Chapter 3 (Displaying & Describing Categorical Data) Skip: Contingency Tables, Conditional Distributions, Segmented Bar Charts, Simpson’s Paradox In general, the analysis of data includes both a graphical data analysis along with a numerical data analysis. The most common approach is to begin by making a picture (graph) of the data before doing a numerical analysis (graphs can reveal things that a numerical analysis may hide). Chapter 3: Categorical data Chapters 4 & 5: Quantitative data Recall that: Statistics is the science of collecting, organizing, analyzing, and interpreting data. Once some data has been collected, tables are commonly used for organizing the given data. Graphs (along with numerical analysis) are useful for analyzing the distribution of data. After making a graph and/or completing a numerical data analysis, you should look for key features or patterns in the data. The distribution of a variable describes what values the variable can take on and how often each occurs. Example 1 In a December 2000 report, the U.S. Census Bureau listed the level of educational attainment for Americans over 65....
View Full Document
This note was uploaded on 11/22/2010 for the course STA 2023 taught by Professor Ripol during the Spring '08 term at University of Florida.
- Spring '08