1.1-1.2 Vocabulary Flashcards
Conditional Relative Frequency
gives the percent or proportion of individuals that have a specific value for one categorical variable among individuals who share the same value of another categorical variable (the condition).
Joint Relative Frequency
gives the percent or proportion of individuals that have a specific value for one categorical variable and a specific value for another categorical variable.
two-way table
a table of counts that summarizes data on the relationship between two categorical variables for some group of individuals.
Marginal Relative Frequency
gives the percent or proportion of individuals that have a specific value for one categorical variable.
Statistics
the science and art of collecting, analyzing, and drawing conclusions from data.
individual
an object described in a set of data. Individuals can be people, animals, or things
variable
an attribute that can take different values for different individuals.
Categorical Variable
assigns labels that place each individual into a particular group, called a category
Quantitative Variable
takes number values that are quantities—counts or measurements.
discrete variables
A quantitative variable that takes a fixed set of possible values with gaps between them
continuous variables
A quantitative variable that can take any value in an interval on the number line
Distribution
tells us what values the variable takes and how often it takes those values
Frequency Table
shows the number of individuals having each value
Relative Frequency Table
shows the proportion or percent of individuals having each value.
Bar Graph
shows each category as a bar. The heights of the bars show the category frequencies or relative frequencies