OLIVER | SOC215 F16 Lab Assignment 8: Cross-tabulation 2 Due Sunday, November 13th by 11:59 PM PART 1: Use the tables below to help you compute the CHI2 value. Table 1: Does sex predict opinions about whether whites are hurt by Affirmative Action? Sex Male Very Likely Whites hurt by Somewhat Likely Affirmative Action? Not Very Likely TOTAL Female TOTAL 56 103 159 171 255 426 168 193 361 395 551 946 Percentages: Use this table to enter the percentages for each cell. Sex Male Very Likely Whites hurt by Somewhat Likely Affirmative Action? Not Very Likely TOTAL Female TOTAL 14.18 18.70 16.81 43.30 46.28 45.03 42.53 35.03 38.16 100.00 100.00 100.00 Expected values: Use this table to input the expected values for each cell. Sex Male Very Likely Whites hurt by Somewhat Likely Affirmative Action? Not Very Likely TOTAL Female TOTAL 66.39 92.61 159 177.88 248.12 426 150.73 210.27 361 395 551 946 OLIVER | SOC215 F16 Columns: Use this table to compute the CHI2 value. Male Very Likely Female Very Likely Male Somewhat Likely Female Somewhat Likely Male Not Very Likely Female Not Very Likely OBSERVED 14.18 EXPECTED 66.39 O-E -52.21 (O-E)^2 2725.88 (O-E)^2/E 41.06 18.70 92.61 -73.91 5462.69 58.99 43.30 177.88 -134.58 18111.78 101.82 46.28 248.12 -201.84 40739.39 164.19 42.53 150.73 -108.20 11707.24 77.67 35.03 210.27 -175.24 30709.06 146.05 CHI2:_589.78 PART 2: Complete the hypothesis test A. H0: sex predicts whether whites are hurt by affirmative action?____ B. H1: __Sex does not predict whether whites are hurt by affirmative action. C. Alpha level: .05 D. Degrees of freedom: _2__________ E. Critical CHI2 (from table on page 486 in the book): ___5.991_________ F. CHI2: ___589.78________________(From PART 1) G. What do you conclude? ___I reject the H0____________________________ OLIVER | SOC215 F16 PART 3: SPSS A. Use your research variables to create a CHI2 test in SPSS. Paste the outputs below. (NOTE: If you do not have nominal or ordinal variables, select some that are related to your research interest.) {Paste SPSS outputs here} B. What do you conclude about the relationship between your two variables? Is there a statistically significant difference