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Goodness of fit - Wikipedia, the free encyclopedia
The goodness of fit of a statistical model describes how well it fits a set of observations. Measures of goodness of fit typically summarize the discrepancy between observed values and the values ex...
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Chi-square distribution - Wikipedia, the free encyclopedia
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where in this case there are 10 x values, so k=10. (This formula says: find how each x deviates from the mean µ, square each difference, ... If chi-square is "a lot" bigger than expected something is wrong. Thus one purpose of chi-square is to compare observed results with expected results and see if the result is likely.
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Chi-Square "Goodness of Fit" Test ... This page will calculate the value of chi-square for a one-dimensional "goodness of fit" test, for up to 8 mutually exclusive categories labeled A through H. To enter an observed cell frequency, click the cursor into the appropriate cell, then type in the value.
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You may also see the Chi-square test called a "goodness of fit" test. That is to say, the Chi- square test is used to see if grouped data "fit" into declared groups, or if the data instead do not "fit" into the group.
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What it is: The Chi Square Goodness of Fit test determines if the observed frequencies are different from what we would expect to find (we expect to see equal numbers in each group within a variable).
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Web based materials for teaching statistics ... Instructional Demos; Chi Square Test of Deviations from Expected Frequencies; Rice Virtual Lab in Statistics; 2x2 Contingency Tables; Rice Virtual Lab in Statistics; Text; Chi Square Tutorial by Jeff Connor-Linton ; ... Chi Square by G. David Hopkins...
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