Project measure / variable:   Donahue13   fecundity_index


  STRAIN COMPARISON PLOT
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Donahue13 - mean litter size divided by mean litter interval



  MEASURE SUMMARY
Measure Summary Female
Number of strains tested13 strains
Mean of the strain means1.27   n/wks
Median of the strain means1.17   n/wks
SD of the strain means± 0.266
Coefficient of variation (CV)0.209
Min–max range of strain means0.927   –   1.71   n/wks
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 6.7283 0.5607 8.0213 < 0.0001
Residuals 90 6.2911 0.0699


Q-Q normality assessment based on residuals

  


  STRAIN MEANS (UNADJUSTED)
  
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Strain Sex Mean SD N mice SEM CV Min, Max Z score
CXB10/HiAJ f 1.17 0.132   8 0.0467 0.113 0.98, 1.42 -0.39
CXB11/HiAJ f 1.16 0.228   8 0.0805 0.196 0.78, 1.39 -0.43
CXB12/HiAJ f 1.71 0.452   8 0.16 0.264 1.09, 2.25 1.64
CXB13/HiAJ f 1.38 0.219   8 0.0774 0.159 0.93, 1.59 0.4
CXB1/ByJ f 0.927 0.152   7 0.0574 0.164 0.69, 1.17 -1.3
CXB2/ByJ f 1.13 0.144   8 0.0508 0.127 0.91, 1.29 -0.54
CXB3/ByJ f 1.66 0.344   8 0.121 0.206 1.01, 2.04 1.45
CXB4/ByJ f 1.39 0.34   8 0.12 0.245 0.99, 2.05 0.44
CXB5/ByJ f 1.19 0.176   8 0.0622 0.148 0.99, 1.43 -0.32
CXB6/ByJ f 1.15 0.153   8 0.054 0.132 0.89, 1.35 -0.47
CXB7/ByJ f 1.06 0.336   8 0.119 0.318 0.59, 1.74 -0.8
CXB8/HiAJ f 0.964 0.187   8 0.0661 0.194 0.72, 1.25 -1.16
CXB9/HiAJ f 1.67 0.318   8 0.113 0.191 1.17, 2.27 1.49


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
CXB10/HiAJ f 1.17 0.0935 1.3557 0.9843
CXB11/HiAJ f 1.1612 0.0935 1.347 0.9755
CXB12/HiAJ f 1.7138 0.0935 1.8995 1.528
CXB13/HiAJ f 1.38 0.0935 1.5657 1.1943
CXB1/ByJ f 0.9271 0.0999 1.1257 0.7286
CXB2/ByJ f 1.1275 0.0935 1.3132 0.9418
CXB3/ByJ f 1.6638 0.0935 1.8495 1.478
CXB4/ByJ f 1.3862 0.0935 1.572 1.2005
CXB5/ByJ f 1.1862 0.0935 1.372 1.0005
CXB6/ByJ f 1.155 0.0935 1.3407 0.9693
CXB7/ByJ f 1.0575 0.0935 1.2432 0.8718
CXB8/HiAJ f 0.9637 0.0935 1.1495 0.778
CXB9/HiAJ f 1.67 0.0935 1.8557 1.4843




  GWAS USING LINEAR MIXED MODELS