The below table gives the summary statistics of the data. There are four continuous variables. The sample size is 101.The age is ranging from 16 to 53 years. The mean age is 24.29 years.
The minimum warmth is -9 and the maximum is 6. The mean stereotype noncongruent reaction time is 1.2009 and the mean stereotype congruent reaction time is 1.0945.
Descriptive
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
Age 101 16 53 24.29 8.492
Warmth 101 -9 6 -.03 2.602
Stereotype noncongruent reaction time 101 .21 2.78 1.2009 .41706
Stereotype Congruent reaction time 101 .20 1.93 1.0945 .38577
Valid N (listwise) 101
T-Test
Group Statistics
Gender N Mean Std. Deviation Std. Error Mean
Stereotype noncongruent reaction time Female 61 1.2374 .33513 .04291
Male 40 1.1451 .51761 .08184
Independent Samples Test
Levene's Test for Equality of Variances t-test for Equality of Means
F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Difference 95% Confidence Interval of the Difference
Lower Upper
Stereotype noncongruent reaction time Equal variances assumed 4.394 .039 1.089 99 .279 .09230 .08477 -.07591 .26051
Equal variances not assumed .999 60.421 .322 .09230 .09241 -.09252 .27712
There is no significant difference between male and female stereotype noncongruent reaction time with the test statistic t (99) =1.089, p-value=0.279>0.05.
T-Test
Group Statistics
Gender N Mean Std. Deviation Std. Error Mean
Stereotype Congruent reaction time Female 61 1.0688 .30390 .03891
Male 40 1.1338 .48669 .07695
Independent Samples Test
Levene's Test for Equality of Variances t-test for Equality of Means
F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Difference 95% Confidence Interval of the Difference
Lower Upper
Stereotype Congruent reaction time Equal variances assumed 12.558 .001 -.828 99 .410 -.06508 .07861 -.22106 .09090
Equal variances not assumed -.755 58.986 .453 -.06508 .08623 -.23763 .10747
There is no significant difference between male and female stereotype congruent reaction time with the test statistic t (99) =-0.828, p-value=0.410>0.05.
Oneway
ANOVA
Stereotype noncongruent reaction time
Sum of Squares df Mean Square F Sig.
Between Groups 1.526 4 .381 2.308 .064
Within Groups 15.868 96 .165
Total 17.394 100
From the ANOVA test we can observe that there is no significant difference in mean stereotype non congruent reaction time, F(4,96)=2.308, p-value=0.064>0.05.
ANOVA
Stereotype Congruent reaction time
Sum of Squares df Mean Square F Sig.
Between Groups .593 4 .148 .996 .414
Within Groups 14.289 96 .149
Total 14.882 100
From the ANOVA test we can observe that there is a significant difference in mean stereotype congruent reaction time, F(4,96)=0.996, p-value=0.414>0.05.
Crosstabs
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Gender * Preference 101 100.0% 0 .0% 101 100.0%
Gender * Preference Crosstabulation
Count
Preference Total
I strongly prefer Whites to Blacks I moderately prefer Whites to Blacks I like Whites and Blacks equally I moderately prefer Blacks to Whites I strongly prefer Blacks to Whites
Gender Female 4 7 24 20 6 61
Male 0 1 34 3 2 40
Total 4 8 58 23 8 101
Chi-Square Tests
Value df Asymp. Sig. (2-sided) Exact Sig. (2-sided) Exact Sig. (1-sided) Point Probability
Pearson Chi-Square 21.346a 4 .000 .000
Likelihood Ratio 24.108 4 .000 .000
Fisher's Exact Test 20.871 .000
Linear-by-Linear Association .542b 1 .461 .482 .269 .072
N of Valid Cases 101
a. 6 cells (60.0%) have expected count less than 5. The minimum expected count is 1.58.
b. The standardized statistic is -.736.
From the Fisher Exact test we can observe that there is a significant association between gender and preference with X2(4)=20.871,p-value<0.05.
Correlations
Age Warmth Stereotype noncongruent reaction time Stereotype Congruent reaction time
Age Pearson Correlation 1 .029 .000 -.091
Sig. (2-tailed) .774 .995 .367
N 101 101 101 101
Warmth Pearson Correlation .029 1 -.105 .000
Sig. (2-tailed) .774 .297 .999
N 101 101 101 101
Stereotype noncongruent reaction time Pearson Correlation .000 -.105 1 .594**
Sig. (2-tailed) .995 .297 .000
N 101 101 101 101
Stereotype Congruent reaction time Pearson Correlation -.091 .000 .594** 1
Sig. (2-tailed) .367 .999 .000
N 101 101 101 101
**. Correlation is significant at the 0.01 level (2-tailed).
From the correlation table we can observe that there is no correlation between warmth and stereotype congruent reaction time, age and warmth, stereotype noncongruent
reaction time and age. Also, there is a weak negative correlation between age and stereotype congruent reaction time, warmth, and stereotype noncongruent reaction time.
Regression
Variables Entered/Removedb
Model Variables Entered Variables Removed Method
1 Stereotype Congruent reaction time, Age, Stereotype noncongruent reaction timea . Enter
a. All requested variables entered.
b. Dependent Variable: Warmth
Model Summary
Model R R Square Adjusted R Square Std. Error of the Estimate
1 .136a .018 -.012 2.617
a. Predictors: (Constant), Stereotype Congruent reaction time, Age, Stereotype noncongruent reaction time
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 12.429 3 4.143 .605 .613a
Residual 664.481 97 6.850
Total 676.911 100
a. Predictors: (Constant), Stereotype Congruent reaction time, Age, Stereotype noncongruent reaction time
b. Dependent Variable: Warmth
Coefficientsa
Model Unstandardized Coefficients Standardized Coefficients t Sig.
B Std. Error Beta
1 (Constant) .175 1.184 .148 .883
Age .012 .031 .038 .375 .708
Stereotype noncongruent reaction time -1.029 .782 -.165 -1.316 .191
Stereotype Congruent reaction time .683 .849 .101 .805 .423
a. Dependent Variable: Warmth
From regression we can observe that age, stereotype noncongruent reaction time, stereotype congruent reaction time are not significant predictors of warmth(p>0.05).
For one unit increase in age there is a corresponding increase in warmth by 0.012units. For one unit increase in stereotype noncongruent reaction time there is a corresponding
decrease in warmth by 1.029 units. For one unit increase in stereotype congruent reaction time there is a corresponding increase in warmth by 0.683 units. The R-squared value
for the model is 0.018 which tells that there is 1.8% of total variation in the model.
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