Studied by 2 people
individuals
objects that are described by a set of data
variable
any characteristic of an individual
categorical variable
a variable that can place an individual into a group/category
quantitative variable
a variable that takes a numerical value that it would make sense to find the average of
discrete random variable
quantitative variable that takes a fixed set of possible values with gaps between them (pants size)
continuous random variable
quantitative variable that can take any value in an interval on the number line (waist size)
distribution
values/categories that the variable takes and how often it takes these values
marginal relative frequency
the percent or proportion of individuals that have a specific value for one categorical variable
joint relative frequency
the percent or proportion of individuals that have a specific value for one categorical variable and a specific value for another categorical variable
conditional relative fequency
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
skewed left
the left half of the data is much longer on a graph than the right half
skewed right
the right half of the data is much longer on a graph than the left half.
describing the center of a distribution
median or mean
describing the spread of a distribution
range, IQR, or standard deviation
