PSYC 202 Lecture Notes - Lecture 4: Marginal Distribution, Contingency Table, Categorical Variable

• School: Queen's University
• Department: Psychology
• Course: PSYC 202
• Professor: Ronald R Holden

Document Summary

Best way to organize categorical data is through contingency tables. With these tables we can look at subsets of the data. Purpose is the help display and organize categorical data. Marginal distribution will not sum to 100% because your comparing it to the total number of people surveyed. Bar charts y-axis shows the number of cases x-axis shows each of the categories. Gap between the bars on the x-axis because it shows the first major categorical division- gap (cid:271)et(cid:449)ee(cid:374) sho(cid:449)s the(cid:396)e(cid:859)s a (cid:272)atego(cid:396)(cid:455) that(cid:859)s diffe(cid:396)e(cid:374)t. Pie charts are also used to display categorical data: (cid:455)ou (cid:272)a(cid:374)(cid:859)t (cid:396)ead the raw counts off of a pie chart, they contain much less information then we have form a bar chart. Grouped bar charts with 2-way information take one category and make it the primary category then within each grouping show the data for the 2 observation units ie) male and female.