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chi-square statistic
can be used to test whether the observed counts match the counts we expect according to some model - equation is Ï2 =
âall cells (Obs-Exp)2 / Exp
chi-square component
the components of a chi-square calculation are (Obs-Exp)2 / Exp, found for each cell of the table
expected counts
the distribution of counts into groups as would be expected if they were distributed completely perfectly
cell
one element of a table, which corresponds to a specific row and column - table cells can hold counts, percentages, measurements on other variables, or several values
goodness-of-fit
an idea for testing whether a group of counts is distributed in a way that is expected or not
chi-square model
these are skewed to the right, and parameterized by their degrees of freedom, becoming less skewed with increasing degrees of freedom