AP Stats Chapter 1

Table summarizing relationship between 2 categorical variables

Percentage/proportion of individuals with specific value for 1 categorical variable

Percentage/proportion of individuals with specific value for another categorical variable

Percentage/proportion of individuals with specific value for one variable given another variable

Distribution of one variable given another variable

Relationship between variables where knowing one helps predict the other

object described in a set of data (people, animals, things)

attribute that can take different values for different individuals

assigns labels that place each individual into a particular group, called a category

Data that is in numbers (counts, measurements)

tells us what values the variable takes and how often it takes those values

shows each interval of values as a bar

Low outliers < Q₁-1.5(IQR)

High outliers > Q₃ + 1.5(IQR)

x-bar (x w/ a line above it)

A statistical measure is resistant if it isn’t sensitive to extreme values

distance between min & max value (max-min)

measures typical distance of values in a distribution from the mean

√ ∑ (x(subi) - x-bar) ² /n-1

divides ordered data into 4 groups having roughly the same # of values

Arrange data values from smallest to largest & find the median

median of the data values that are to the left of the median in the ordered list

median of the data values that are to the right of the median in the ordered list

distance between the 1st & 3rd quartiles of a distribution

Q₃-Q₁

{ min, Q₁ , median, Q₃, max}

visual representation of five-number summary

value obtained before taking the square root in the standard deviation calculation

shape, center, variability, outliers

shows number of individuals having each value

show proportion or % of individuals having each value