contingency tables and likelihood ratio tests

Consider the following contingency table for a. generic factor B with levels 0,1,2 and A with levels 0,1. You should use the following critical values for chi-squared tests, and show your work. {show expected counts /wha.tnot) You may use functions like chisq.test() or sher.test[) or prop.test(). > rbind(df,critical) [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] df 1.000000 2.000000 3.000000 4.000000 5.0000 6.00000 7.00000 8.00000 9.00000 10.00000 critical 3.841459 5.991465 7.814728 9.487729 11.0705 12.59159 14.05714 15.50731 15.91898 18.30704 1.1 Test of Independence Test whether the factors A and B are independent with a Pearson's chisquared test and a likelihood ratio test. First construct the table with expected frequencies. What's the degrees of freedom