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The most common use for a chi-square test is a "goodness of fit" test.
Suppose you have a set of observations. These may be classified according to one or more characteristics. You also have a hypothesis about what the distribution should be. The chi-square statistic is an indicator of how well the observed values agree with the values that you might expect if your hypothesis were true.
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What is the definition of chisquare?
Chi-square is a statistic used to assess the degree of the relationship and degree of association between two nominal variables
How to get expected frequency value in chi square test?
For goodness of fit test using Chisquare test, Expected frequency = Total number of observations * theoretical probability specified or Expected frequency = Total number of observations / Number of categories if theoretical frequencies are not given. For contingency tables (test for independence) Expected frequency = (Row total * Column total) / Grand total for each cell
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What is the definition of chisquare?
Chi-square is a statistic used to assess the degree of the relationship and degree of association between two nominal variables
How to get expected frequency value in chi square test?
For goodness of fit test using Chisquare test, Expected frequency = Total number of observations * theoretical probability specified or Expected frequency = Total number of observations / Number of categories if theoretical frequencies are not given. For contingency tables (test for independence) Expected frequency = (Row total * Column total) / Grand total for each cell
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