1. Adapted from Ms. Namad

3. Terminology
Individuals- the objects described by a set of data. They may be people, animals, or things.
Variable: any characteristic of an individual. It can take different values for different individuals.
There are two types of variables: categorical and quantitative

6. Categorical Data Two-Way Tables: describes two categorical variables
Marginal Distribution: one of the categorical variables in a two-way table of counts is the distribution of values of that variable among all individuals described by the table
Ex: (a+c)/(n)

7. Categorical Data
Conditional Distribution: variable describes the values of that variable among individuals who have a specific value of another variable
Ex: c/(c+d)

14. Does the distribution have one or more peaks (modes) or is it unimodal?
Is the distribution approximately symmetric or is it skewed in one direction? Is it skewed to the right (right tail longer) or left?

15. Shape
Left- Skewed
Right- Skewed

17. Example Description
Shape: The distribution is roughly symmetric with a single peak in the center.
Center: You can see from the histogram that the midpoint is not far from The actual data shows that the midpoint is 114.
Spread: The spread is from 80 to about There are no outliers or other strong deviations from the symmetric, unimodal pattern.