STA220H1 Lecture 1: Test 1 Notes (Before Midterm)

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

Document Summary

Data: obtained by observing and recording one or more characteristics (what) Bivariate data: quantitative measurements or counts; device? (how?) Displaying and describing categorical data: mass of data picture or display. Pie charts: show whole group of cases as a circle; size of slice proportional to fraction of the whole in each category, give quick impression of how whole group partitioned into smaller groups. Categorical data condition: data are summary counts (tallies) of percentages of individuals in categories. Contingency table: table showing how individuals are distributed along each variable, contingent on value of the other variable. Joint distribution of the two variables (percentages tell us what percentage of all passengers belong to each combination) Conditional distributions: show distribution of one variable for just those cases that satisfy a condition on another variable; restricting the who. If the conditional distribution of variable y does not depend on the variable x (hence, each conditional distribution resembles the marginal distribution), x and.