Chapter 1: Exploring Data Flashcards
individual
objects described by a set of data
eg. high school students
variable
any characteristic of an individual
eg. gender
categorical variable
groups
eg. gender, race, zip code
quantitative variable
can find average
eg. age, height
distribution
the pattern of a variable’s variation
ie. even number of men and women but overwhelming majority right-handed
frequency table
displays counts
relative frequency table
displays percents
pie chart
represents each category as a slice
ie. parts of a whole
bar graph
represents each category as a bar
two-way table
describes two categorical variables
eg. gender AND race
marginal distribution
distribution of values of a singular variable from a two-way table
eg. number of total almost no chance out of total total
conditional distribution
describes the values among individuals of another variable
eg. men who are almost certain out of men total
side-by-side bar graph
eg. income bracket and year
association
when specific values of one variable tend to occur in common with specific values of the other
dotplot
horizontal axis (a number line)