Hello, I need help to see which of these 3 One-Way ANOVA is a significant F Test.

Descriptives Social Extroversion 95% Confidence Interval for Mean N Mean Std. Deviation Std. Error Lower Bound Upper Bound Minimum Maximum Blond 6 5.17 2.787 1.138 2.24 8.09 2 10 Brunet 6 3.67 1.211 494 2.40 4.94 2 5 Redhead 6 2.33 1.033 422 1.25 3.42 Total 18 3.72 2.109 497 2.67 4.77 1 10 Tests of Homogeneity of Variances Levene Statistic df1 df2 Sig. Social Extroversion Based on Mean 1.520 IN 15 250 Based on Median 1.373 15 283 NN Based on Median and 1.373 7.609 310 with adjusted df Based on trimmed mean 1.388 2 15 280 ANOVA Social Extroversion Sum of Squares df Mean Square F Sig Between Groups 24.111 2 12.056 3.511 056 Within Groups 51.500 15 3.433 Total 75.611 17 ANOVA Effect Sizesa,b Point 95% Confidence Interval Estimate Lower Upper Social Extroversion Eta-squared 319 000 546 Epsilon-squared .228 -.133 486 Omega-squared Fixed- 218 .125 471 effect Omega-squared 122 -. 059 308 Random-effect a. Eta-squared and Epsilon-squared are estimated based on the fixed-effect model. b. Negative but less biased estimates are retained, not rounded to zero.Descriptives Shy, Inhibited person 95% Confidence Interval for Mean N Mean Std. Deviation Std. Error Lower Bound Upper Bound Minimum Maximum Like 68 3.00 1.051 127 2.75 3.25 5 Dislike 15 2.93 1.163 .300 2.29 3.58 5 - - Don't Care 25 2.80 1.041 .208 2.37 3.23 5 Total 108 2.94 1.058 102 2.74 3.15 5 Tests of Homogeneity of Variances Levene Statistic df1 df2 Sig Shy, Inhibited person Based on Mean 116 105 890 N N Based on Median 352 105 .704 Based on Median and 352 N 97.917 .704 with adjusted df Based on trimmed mean 111 2 105 895 ANOVA Shy, Inhibited person Sum of Squares df Mean Square F Sig Between Groups .733 2 367 324 724 Within Groups 118.933 105 1.133 Total 119.667 107 ANOVA Effect Sizes a,b Point 95% Confidence Interval Estimate Lower Upper Shy, Inhibited person Eta-squared 006 .000 049 Epsilon-squared .013 .019 031 Omega-squared Fixed- -.013 -.019 031 effect Omega-squared -.006 -.009 016 Random-effect a. Eta-squared and Epsilon-squared are estimated based on the fixed-effect model. b. Negative but less biased estimates are retained, not rounded to zero.Post Hoc Tests Multiple Comparisons Dependent Variable: Shy, Inhibited person Mean 95% Confidence Interval Difference (1- (1) Likes to Read (J) Likes to Read J ) Std. Error Sig. Lower Bound Upper Bound Tukey HSD Like Dislike 067 304 974 .66 .79 Don't Care 200 249 702 -.39 .79 Dislike Like -.067 304 974 -.79 .66 Don't Care 133 348 922 ..69 96 Don't Care Like .200 249 702 -.79 .39 Dislike -.133 348 922 -.96 69 Dunnett C Like Dislike 067 326 -.78 91 Don't Care 200 .244 .40 80 Dislike Like -.067 326 -.91 .78 Don't Care 133 .365 -.81 1.08 Don't Care Like ..200 244 .80 .40 Dislike -.133 365 -1.08 .81 Homogeneous Subsets Shy, Inhibited person Subset for alpha = 0.05 Likes to Read N Tukey HSDa. b Don't Care 25 2.80 Dislike 15 2.93 Like 68 3.00 Sig. 787 Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 24.717. b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.Post Hoc Tests Multiple Comparisons Dependent Variable: Social Extroversion Mean 95% Confidence Interval Difference (1- (1) Hair Color (J) Hair Color Std. Error Sig Lower Bound Upper Bound Tukey HSD Blond Brunet 1.500 1.070 .365 1.28 4.28 Redhead 2.833 1.070 045 .05 5.61 Brunet Blond -1.500 1.070 .365 4.28 1.28 Redhead 1.333 1.070 446 -1.45 4.11 Redhead Blond 2.833 1.070 045 -5.61 .05 Brunet -1.333 1.070 446 -4.11 1.45 Dunnett C Blond Brunet 1.500 1.241 -2.54 5.54 Redhead 2.833 1.213 -1.11 6.78 Brunet Blond -1.500 1.241 5.54 2.54 Redhead 1.333 650 -.78 3.45 Redhead Blond -2.833 1.213 6.78 1.11 Brunet -1.333 650 3.45 78 *. The mean difference is significant at the 0.05 level. Homogeneous Subsets Social Extroversion Subset for alpha = 0.05 Hair Color N 2 Tukey HSDa Redhead 2.33 Brunet 3.67 3.67 Blond 6 5.17 Sig. 446 .365 Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.000.Descriptives Outing Sociable 95% Confidence Interval for Mean N Mean Std. Deviation Std. Error Lower Bound Upper Bound Minimum Maximum Like 68 970 118 2.65 3.12 5 Dislike 15 2.93 1.223 316 2.26 3.61 5 Don't Care 25 3.32 1.180 236 2.83 3.81 5 - - Total 108 2.99 1.063 102 2.79 3.19 5 Tests of Homogeneity of Variances Levene Statistic df1 df2 Sig. Outing Sociable Based on Mean 2.308 05 104 IN Based on Median 1.967 105 145 Based on Median and 1.967 N 104.232 145 with adjusted df Based on trimmed mean 2.315 2 105 104 ANOVA Outing Sociable Sum of Squares df Mean Square F Sig Between Groups 3.559 2 1.779 1.591 209 Within Groups 117.432 105 1.118 Total 120.991 107 ANOVA Effect Sizesa,b Point 95% Confidence Interval Estimate Lower Upper Outing Sociable Eta-squared 029 000 105 Epsilon-squared 011 -.019 088 Omega-squared Fixed- 011 -.019 .087 effect Omega-squared 005 .009 045 Random-effect a. Eta-squared and Epsilon-squared are estimated based on the fixed-effect model. b. Negative but less biased estimates are retained, not rounded to zeroPost Hoc Tests Multiple Comparisons Dependent Variable: Outing Sociable Mean 95% Confidence Interval Difference (I- (1) Likes to Read (J) Likes to Read J ) Std. Error Sig Lower Bound Upper Bound Tukey HSD Like Dislike .051 302 984 -.77 67 Don't Care -.438 247 185 -1.03 .15 Dislike Like 051 302 984 .67 77 Don't Care -.387 .345 504 -1.21 43 Don't Care Like 438 247 185 .15 1.03 Dislike 387 .345 504 -.43 1.21 Dunnett C Like Dislike -.051 337 ..92 .82 Don't Care -.438 .264 -1.09 22 Dislike Like 051 337 .82 92 Don't Care -.387 .394 -1.40 63 Don't Care Like 438 264 -.22 1.09 Dislike 387 .394 -.63 1.40 Homogeneous Subsets Outing Sociable Subset for alpha = 0.05 Likes to Read N Tukey HSDa.b Like 68 2.88 Dislike 15 2.93 Don't Care 25 3.32 Sig. 317 Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 24.717. b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.Descriptives Quiet2e_R 95% Confidence Interval for Mean N Mean Std. Deviation Std. Error Lower Bound Upper Bound Minimum Maximum Like 94 3.1170 1.11545 11505 2.8886 3.3455 1.00 5.00 Dislike 5 2.2000 1.64317 73485 1597 4.2403 1.00 5.00 Don't Care 2.2222 1.09291 36430 1.3821 3.0623 1.00 4.00 Total 108 3.0000 1.16811 11240 2.7772 3.2228 1.00 5.00 Tests of Homogeneity of Variances Levene Statistic df1 df2 Sig. Quiet2e_R Based on Mean 472 105 625 N N Based on Median 645 105 527 Based on Median and 645 N 84.513 527 with adjusted df Based on trimmed mean 424 2 105 656 ANOVA Quiet2e_R Sum of Squares df Mean Square F Sig. Between Groups 9.932 2 4.966 3.832 025 Within Groups 136.068 105 1.296 Total 146.000 107 ANOVA Effect Sizes a,b Point 95% Confidence Interval Estimate Lower Upper Quiet2e_R Eta-squared 068 .000 .165 Epsilon-squared 050 .019 149 Omega-squared Fixed- 050 .019 148 effect Omega-squared 026 -.009 .080 Random-effect a. Eta-squared and Epsilon-squared are estimated based on the fixed-effect model. b. Negative but less biased estimates are retained, not rounded to zero.Post Hoc Tests Multiple Comparisons Dependent Variable: Quiet2e_R Mean 95% Confidence Interval Difference (1- (1) Likes to Travel (J) Likes to Travel J) Std. Error Sig. Lower Bound Upper Bound Tukey HSD Like Dislike 91702 52246 190 .3251 2.1591 Don't Care 89480 .39721 067 -.0495 1.8391 Dislike Like .91702 52246 190 -2.1591 3251 Don't Care .02222 .63495 999 -1.5318 1.4873 Don't Care Like .89480 39721 067 -1.8391 0495 Dislike 02222 .63495 999 -1.4873 1.5318 Dunnett C Like Dislike 91702 .74380 -1.7128 3.5469 Don't Care 89480 38204 -.1804 1.9700 Dislike Like -.91702 74380 -3.5469 1.7128 Don't Care -.02222 82019 -2.8311 2.7866 Don't Care Like .89480 .38204 -1.9700 .1804 Dislike 02222 82019 -2.7866 2.8311 Homogeneous Subsets Quiet2e_R Subset for alpha = 0.05 Likes to Travel N Tukey HSDa. b Dislike U 2.2000 Don't Care 9 2.2222 Like 94 3.1170 Sig. 196 Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 9.324. b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed