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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Chi-square is a statistic used to assess the degree of the relationship and degree of association between two nominal variables
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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no but i can tell you the numbers. 3.141592
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