Refer to Figure 4. Which of the models has the highest PRIOR probability?

X Singers* + Descriptives T-Tests ANOVA Mixed Models Regression Frequencies Factor Distributions JAGS Learn Bayes Machine Learning Meta-Ana Dependent Variable V1 12 Model Comparison Voice.part Height Models P(M) P(M data) BFM BF 10 error % Part Fixed Factors Null model 0.2500 1.2595e-40 3.7785e-40 1.0000 Within.part.level Gender Gender + Pitch 0.2500 0.9952 622.6439 7.9015e+39 1.1440 Within.gender.level Pitch Gender 0.2500 0.0048 0.0145 3.8071e+37 1.7105e-43 Pitch 0.2500 1.0232e-38 3.0696e-38 81.2382 0.0027 & l Analysis of Effects - Height Effects P(incl) P(excl ) P(incl|data) P(excl|data) BFincl Random Factors Gender 0.5000 0.5000 1.0000 0.0000 Pitch 0.5000 0.5000 0.9952 0.0048 207.5480 Descriptives Descriptives - Height 95% Credible Interval Bayes Factor Tables Gender Pitch Mean SD N Lower Upper O BF10 Effects female 1. very high 64.2500 1.8727 36 63.6164 64.8836 BFor Across all models 2. high 63.9667 2.5255 30 63.0236 64.9097 O Log(BF1.) Across matched models 3. low 64.8857 2.7947 35 63.9257 65.8457 4. very low 66.0370 2.3449 27 65. 1094 66.9647 . . . . . Estimates male 1. very high 68.9048 3.3302 21 67.3889 70.4207 2.0713 21 70.8476 Model averaged R2 2. high 69.9048 68.9619 3. low 70.7179 2.3614 39 69.9525 71.4834 Descriptives 4. very low 71.3846 2.7288 26 70.2824 72.4868 Credible interval 95.0 % New notifications (Off) Order Plots