lists the categories in a categorical variable and gives the count or percentage of observations for each category

the possible values of the variable and relative frequency of each (in regular people terms list all the percents)

in a statistical display, each data value should be represented by the same amount of area

show bar representing the count of each category in a categorical variable

pie charts show how a "whole" divides into categories by showing a wedge of a circle whose area corresponds to the proportion in each category

displays counts and sometimes percents of individuals falling into named categories on two or more variables. categorizes the individuals on all variables at once, to reveal possible patterns in one variable that may be contingent on category of the other

marginal distribution

in a contingency table, the distribution of either variable alone is called he marginal distribution, the counts or percents are the totals found in the margins or last row or column of the table

conditional distribution

the distribution of a variable restricting the who to consider only a smaller group of individuals is called a conditional distribution

variables are said to be independent if the conditional distribution of one variable is the same for each category of the other

when averages are taken across different groups, they can appear to contradict the overall averages. essentially when you look at the data it's completely confusing and sucks for you. figure it out and once you have you know its simpson's paradox...wow...

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stat chap 3

crap terms that are confusing and i haven't been taught

Question	Answer
frequency table	lists the categories in a categorical variable and gives the count or percentage of observations for each category
distribution	the possible values of the variable and relative frequency of each (in regular people terms list all the percents)
area principle	in a statistical display, each data value should be represented by the same amount of area
bar chart	show bar representing the count of each category in a categorical variable
pie chart	pie charts show how a "whole" divides into categories by showing a wedge of a circle whose area corresponds to the proportion in each category
contingency table	displays counts and sometimes percents of individuals falling into named categories on two or more variables. categorizes the individuals on all variables at once, to reveal possible patterns in one variable that may be contingent on category of the other
marginal distribution	in a contingency table, the distribution of either variable alone is called he marginal distribution, the counts or percents are the totals found in the margins or last row or column of the table
conditional distribution	the distribution of a variable restricting the who to consider only a smaller group of individuals is called a conditional distribution
independence	variables are said to be independent if the conditional distribution of one variable is the same for each category of the other
simpson's paradox	when averages are taken across different groups, they can appear to contradict the overall averages. essentially when you look at the data it's completely confusing and sucks for you. figure it out and once you have you know its simpson's paradox...wow...

Created by: lbanana217

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