two way tables

paradox

- variables may alter the results of your distribution - adding more variables can give you different results in 2 way table

separate (marginal) distribution

- 1 variable at a time - totals

joint "and" distribution

- overall percentage in each percentage - looking at two variables at a time - "probability of girl and brown hair"

conditional distribution

- use to find relationships

if conditionals are same/close

they are independent and have no relationship

two way tables examine

categorical data - 2 variables at a time

in a table what kind of distribution do you have?

joint and marginal ONLY

for percentage change, where do you look?

look at subgroups NOT marginals

simpsons paradox

look for third variable that may change results ( but this doesnt always happen)

if conditionals are different

there is a relationship, x & y are dependent