Summer Work Flashcards
Individuals
objects described by a set of data
Variable
any characteristic of an individual
Categorical Variable
places an individual into one of several groups or categories (ex: zip code)
Quantitative Variable
Takes a numerical value for which it makes sense to find an average (GPA)
Discreet Variable
have a fixed set of possible values, no in-between values, probability adds up to 1
Continuous variable
value is obtained by measuring, there are an infinite set of values
Univariate Data
results from a study looking at only one variable
Bivariate Data
results from a study that compares the relationship between two variables
Population
refers to the total set of observations that can be made
Sample
refers to a set of observations drawn from the population
Census
a study that obtains data from every member of a population
Distribution
Tells us what values a variable takes and how often it takes such values
Marginal Distribution
the distribution of values of that variable among all individuals described by the table.
Inference
a table that shows frequency counts for categorical data
Frequency Table
drawing conclusions that go beyond the data
Relative Frequency Table
shows relative frequency for different categories of categorical data
Round-Off Error
the effect of rounding off results
Pie Chart
show the distribution of categorical data, each slice is sized by percent of category
Bar Graph
represents categorical data with bars
Two Way Table
shows relationships between categorical variables