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

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Question
Answer
frequency table   lists the categories in a categorical variable and gives the count or percentage of observations for each category  
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distribution   the possible values of the variable and relative frequency of each (in regular people terms list all the percents)  
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area principle   in a statistical display, each data value should be represented by the same amount of area  
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bar chart   show bar representing the count of each category in a categorical variable  
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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  
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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  
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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  
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conditional distribution   the distribution of a variable restricting the who to consider only a smaller group of individuals is called a conditional distribution  
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independence   variables are said to be independent if the conditional distribution of one variable is the same for each category of the other  
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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...  
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Created by: lbanana217