A powerful test is the chi-square contingency table.
correlation is used when there is metric data and chi square is used when there is categorized data. sayan chakrabortty
the Chi Square distribution is a mathematical distribution that is used directly or indirectly in many tests of significance. The most common use of the chi square distribution is to test differences among proportions
here is answer for your question - http://www.wellesley.edu/Psychology/Psych205/chisquareindep.html
Chi-square
A powerful test is the chi-square contingency table.
The chi-square test is used to analyze a contingency table consisting of rows and columns to determine if the observed cell frequencies differ significantly from the expected frequencies.
There are many chi-squared tests. You may mean the chi-square goodness-of-fit test or chi-square test for independence. Here is what they are used for.A test of goodness of fit establishes if an observed frequency differs from a theoretical distribution.A test of independence looks at whether paired observations on two variables, expressed in a contingency table, are independent of each.
You could calculate it by integrating the chi-square probability distribution function but you are likely to be much better off using a table in a book or on the web.
correlation is used when there is metric data and chi square is used when there is categorized data. sayan chakrabortty
The Chi-squared statistic can be used to test for association.
Not sure if you want properties of chi-square distribution or the characteristic function. If it is the latter, see the last cell of the table with the equations labeled cf. See related link.
the Chi Square distribution is a mathematical distribution that is used directly or indirectly in many tests of significance. The most common use of the chi square distribution is to test differences among proportions
here is answer for your question - http://www.wellesley.edu/Psychology/Psych205/chisquareindep.html
The characteristics of the chi-square distribution are: A. The value of chi-square is never negative. B. The chi-square distribution is positively skewed. C. There is a family of chi-square distributions.
Chi-Square Goodness-of-fit Test is used when you want to test if the sample observed follows an assumed theoretical distribution.
You have to have the Punnet Square 1st so that the data collected in the PS can be used to work the Chi-Square.