Project measure / variable:   Donahue13   ratio_wean_born


  STRAIN COMPARISON PLOT
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Donahue13 - ratio of pups weaned to pups born



  MEASURE SUMMARY
Measure Summary Female
Number of strains tested13 strains
Mean of the strain means0.918   ratio
Median of the strain means0.925   ratio
SD of the strain means± 0.0484
Coefficient of variation (CV)0.0527
Min–max range of strain means0.812   –   0.988   ratio
Mean sample size per strain8.0   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
strain 12 0.2227 0.0186 1.6938 0.0812
Residuals 90 0.9859 0.011


Q-Q normality assessment based on residuals

  


  STRAIN MEANS (UNADJUSTED)
  
Select table page:
Strain Sex Mean SD N mice SEM CV Min, Max Z score
CXB10/HiAJ f 0.888 0.125   8 0.0441 0.14 0.7, 1.0 -0.62
CXB11/HiAJ f 0.95 0.107   8 0.0378 0.113 0.7, 1.0 0.67
CXB12/HiAJ f 0.988 0.0354   8 0.0125 0.0358 0.9, 1.0 1.45
CXB13/HiAJ f 0.888 0.0991   8 0.035 0.112 0.7, 1.0 -0.62
CXB1/ByJ f 0.943 0.0535   7 0.0202 0.0567 0.9, 1.0 0.52
CXB2/ByJ f 0.875 0.128   8 0.0453 0.146 0.6, 1.0 -0.88
CXB3/ByJ f 0.812 0.181   8 0.0639 0.222 0.5, 1.0 -2.19
CXB4/ByJ f 0.975 0.0463   8 0.0164 0.0475 0.9, 1.0 1.18
CXB5/ByJ f 0.95 0.0535   8 0.0189 0.0563 0.9, 1.0 0.67
CXB6/ByJ f 0.925 0.0886   8 0.0313 0.0958 0.8, 1.0 0.15
CXB7/ByJ f 0.95 0.141   8 0.05 0.149 0.6, 1.0 0.67
CXB8/HiAJ f 0.887 0.0991   8 0.035 0.112 0.8, 1.0 -0.64
CXB9/HiAJ f 0.9 0.0926   8 0.0327 0.103 0.8, 1.0 -0.37


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
CXB10/HiAJ f 0.8875 0.037 0.961 0.814
CXB11/HiAJ f 0.95 0.037 1.0235 0.8765
CXB12/HiAJ f 0.9875 0.037 1.061 0.914
CXB13/HiAJ f 0.8875 0.037 0.961 0.814
CXB1/ByJ f 0.9429 0.0396 1.0214 0.8643
CXB2/ByJ f 0.875 0.037 0.9485 0.8015
CXB3/ByJ f 0.8125 0.037 0.886 0.739
CXB4/ByJ f 0.975 0.037 1.0485 0.9015
CXB5/ByJ f 0.95 0.037 1.0235 0.8765
CXB6/ByJ f 0.925 0.037 0.9985 0.8515
CXB7/ByJ f 0.95 0.037 1.0235 0.8765
CXB8/HiAJ f 0.8875 0.037 0.961 0.814
CXB9/HiAJ f 0.9 0.037 0.9735 0.8265




  GWAS USING LINEAR MIXED MODELS