Page 1 of 1

with the given data, fill in the blanks. There is a significant difference between control gender (m-=____, SD=____) hai

Posted: Wed May 11, 2022 1:29 pm
by answerhappygod
With The Given Data Fill In The Blanks There Is A Significant Difference Between Control Gender M Sd Hai 1
With The Given Data Fill In The Blanks There Is A Significant Difference Between Control Gender M Sd Hai 1 (197.03 KiB) Viewed 17 times
with the given data, fill in the blanks. There is a significant difference between control gender (m-=____, SD=____) hair color (m-=- SD=____), and attitude towards stats (m=____, SD=---__)F=-----, P= 1 Attitude Towards Statistics 95% Confidence Interval for Mean Between- Component Variance N Mean Std. Deviation Std. Error Lower Bound Upper Bound Minimum Maximum Male 8 3.5000 2.00000 .70711 1.8280 5.1720 1.00 7.00 Female 9 4.2222 1.48137 49379 3.0835 5.3609 2.00 7.00 Total 17 3.8824 1.72780 .41905 2.9940 4.7707 1.00 7.00 Model Fixed Effects 1.74271 42267 2.9815 4.7833 Random Effects .42267 ° -1.4882" 9.25290 a. Warning: Between-component variance is negative. It was replaced by 0.0 in computing this random effects measure. - 09774 ANOVA df F Attitude towards Statistics Sum of Squares Between Groups 2.209 Within Groups 45.556 Total 47.765 Mean Square 2.209 3.037 Sig. .407 1 .727 15 16 ANOVA Effect Sizesab Point 95% Confidence interval Estimate Lower Upper Attitude Towards Eta-squared .046 .000 .319 Statistics Epsilon-squared ..017 ..067 .273 Omega-squared Fixed- ..016 -062 .261 effect Omega-squared -016 -.062 .261 Random-effect a. Eta-squared and Epsilon-squared are estimated based on the fixed-effect model. Tests of Within-Subjects Effects Measure: MEASURE_1 Type III Sum of Somares Partial Eta Sowared SAMA df Mean Square Sio

Tests of Within-Subjects Effects Measure: MEASURE_1 Type III Sum of Squares 5065.441 Source Partial Eta Squared df Mean Square F Sig. attitude 1 5065.441 87.993 <.001 .846 5065.441 1.000 5065.441 87.993 <.001 .846 5065.441 5065.441 87.993 <.001 .846 1.000 1.000 5065.441 5065.441 87.993 <.001 .846 Sphericity Assumed Greenhouse-Geisser Huynh-Feldt Lower-bound Sphericity Assumed Greenhouse-Geisser Huynh-Feldt Lower-bound Error(attitude) 921.059 16 57.566 921.059 16.000 57.566 921.059 16.000 57.566 921.059 16.000 57.566 Tests of Within-Subjects Contrasts Measure: MEASURE_1 Type III Sum of Squares Partial Eta Squared Source df Mean Square F Sig. attitude Linear attitude 5065.441 1 5065.441 87.993 <.001 .846 Error(attitude) Linear 921.059 16 57.566 Tests of Between-Subjects Effects Measure: MEASURE_1 Transformed Variable: Average Type III Sum Source of Squares Intercept 6414.382 Error 880.118 Partial Eta Squared df Mean Square F Sig. 1 116.610 <.001 .879 6414.382 55.007 16

Estimated Marginal Means of MEASURE_1 30 25 20 Estimated Marginal Means 15 10 5 5 0 1 2 attitude Between Component Variance Mean Descriptives 95% Confidence Interval for Mean N Std Deviation Std. Error Lower Bound Upper Bound Minimum Maximum Attitude Towards Male 8 3.5000 2.00000 .70711 1.8280 5.1720 1.00 7.00 Statistics Female 9 4.2222 1.48137 .49379 3.0835 5.3609 2.00 7.00 Total 17 3.8824 1.72780 41905 2.9940 4.7707 1.00 7.00 Model Fixed Effects 1.74271 .42267 2.9815 4.7833 Random Effects .422670 -1.4882 9.2529" Height of Subjects (In Male 8 1.8375 .13025 04605 1.7286 1.9464 1.65 2.00 Strings) Female 9 1.7444 .12105 .04035 1.6514 1.8375 1.50 1.90 Total 17 1.7882 13054 .03166 1.7211 1.8554 1.50 2.00 Model Fixed Effects .12543 .03042 1.7234 1.8531 Random Effects 04654 1.1969 2.3796 a. Warning: Between-component variance is negative. It was replaced by 0.0 in computing this random effects measure. --09774 .00247

ANOVA df F Sig Mean Square 2.209 .727 407 Attitude towards Statistics Between Groups Within Groups Total Sum of Squares 2.209 45.556 47.765 .037 236 1 15 16 3.037 Between Groups 1 .037 2.331 148 Height of Subjects (In Strings) 15 .016 Within Groups Total 273 16 ANOVA Effect Sizes a,b Point Estimate 95% Confidence Interval Lower Upper .046 .000 .319 Attitude Towards Statistics -.017 -.067 .273 -.016 -.062 .261 -.016 Eta-squared Epsilon-squared Omega-squared Fixed- effect Omega-squared Random-effect Eta-squared Epsilon-squared Omega-squared Fixed- effect -.062 .261 .135 .000 .424 Height of Subjects (In Strings) .077 -.067 .386 .073 -.062 371 371 Omega-squared .073 -062 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.

Deuween-suojects racons Value Label N Gender of Subjects 1 Male 8 2 Female 9 Hair Color of Subjects 1.00 Black 4 2.00 Brown 11 3.00 Blonde 1 4.00 Brown 1 Descriptive Statistics Dependent Variable: Attitude Towards Statistics Gender of Subjects Hair Color of Subjects Mean Male Black 2.5000 Brown 3.2000 Std. Deviation N 2.12132 2 1.48324 5 Brown 7.0000 1 Total 3.5000 2.00000 8 Female Black 5.5000 2.12132 2 Brown 4.0000 1.26491 6 Blonde 3.0000 1 Total 4.2222 1.48137 9 Total Black 2.44949 4 4.0000 3.6364 Brown 1.36182 11 Blonde 3.0000 1 Brown 1 7.0000 3.8824 Total 1.72780 17 Tests of Between-Subjects Effects

Tests of Between-Subjects Effects Dependent Variable: Attitude towards Statistics Type III Sum Source of Squares df Mean Square F Corrected Model 21.965 5 4.393 1.873 Partial Eta Squared Sig. .179 460 Intercept 155.461 1 155.461 66.282 <.001 .858 Gender 10.566 1 10.566 4.505 .057 .291 Hair 18.163 3 6.054 2.581 .106 413 Gender * Hair 3.541 1 3.541 1.510 .245 .121 Error 25.800 11 2.345 Total 304.000 17 Corrected Total 47.765 16 a. R Squared = .460 (Adjusted R Squared = .214)

Profile Plots Estimated Marginal Means of Attitude Towards Statistics 4.24 4.22 Estimated Marginal Means 4.20 4.18 Male Female Gender of Subjects Estimated Marginal Means of Attitude towards Statistics

Gender of Subjects Estimated Marginal Means of Attitude towards Statistics 7.00 6.00 5.00 Estimated Marginal Means 4.00 3.00 Black Brown Blonde Brown Hair Color of Subjects