Describe and explain the cross-tab below using the concepts you learned about this term. For example report Epsilon and interpret the proportionate reduction in error statistics (i.e., Lambda, Gamma, and Pearson's R) and test of significance. Show me how much you understand about how to interpret cross tabs and their related statistics. Say more not less.

FAVOR PREFERENCE IN HIRING BLACKS * DID R VOTE IN 2004 ELECTION Cross-tabulation DID R VOTE IN 2004 ELECTION DID NOT INELIGIBL VOTED VOTE E Total FAVOR STRONGLY Count 44 37 13 94 PREFERENCE IN SUPPORT % within DID R 7.6% 15.3% 16.0% 10.4 HIRING BLACKS PREF VOTE IN 2004 % ELECTION SUPPORT Count 34 13 11 58 PREF % within DID R 5.9% 5.4% 13.6% 6.4% VOTE IN 2004 ELECTION OPPOSE PREF Count 154 74 28 256 within DID R 26.5% 30.6% 34.6% 28.3 VOTE IN 2004 % ELECTION STRONGLY Count 349 18 29 496 OPPOSE PREF % within DID R 60.1% 48.8% 35.8% 54.9 VOTE IN 2004 ELECTION Total Count 581 242 81 904 % within DID R 100.0% 100.0% 100.0% 100.0 VOTE IN 2004 ELECTION Symmetric Measures Asymp. Std. Approx. Approx. Value Error' Sig. Ordinal by Gamma -.260 050 -4.881 000 Ordinal I of Valid Cases 904 . Not assuming the null hypothesis. . Using the asymptotic standard error assuming the null hypothesis Chi-Square Tests Asymp. Sig. Value df (2-sided) Pearson Chi-Square 31.797' 000 Likelihood Ratio 30.307 000 Linear-by-Linear 25.461 000 Association I of Valid Cases 904 . 0 cells (.0%) have expected countless than 5. The minimum expected count is 5.20