STA220H1 Chapter Notes - Chapter 3: Bar Chart, Contingency Table, Categorical Variable

• School: UTSG
• Department: Statistical Sciences
• Course: STA220H1
• Professor: Augustin Vukov

Document Summary

But before you make an charts, always check the categorical data condition: the data are summy counts or percentages of individuals in categories. Frequency table: records the totals and the category names. Lists the categories in a categorical variable and gibes the count (or percentage_ of the observations for each category. Relative frequency table: displays the proportions or percentages. To get the percentage we divide the counts by the total number of cases and then multiply by. The area principle: each data value should be represented by the same amount of area. Bar chart: show a bar whose area represents the count (or percentage) of observations for each category of a categorical variable. Pie charts: show the whole group of cases as a circle. They slice the circle into pieces whose size is proportional to the fraction of the whole in each category. Pie charts give a quick impressions of how a whole group is partitioned into smaller groups.