Project measure / variable:   Donahue15   litter_size_birth

ID, description, units MPD:42403   litter_size_birth   mean number of pups born   [n]  
Data set, strains Donahue15   BXH   11 strains     sex: f     age: 3-55wks
Procedure colony observation
Ontology mappings

  STRAIN COMPARISON PLOT
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Donahue15 - mean number of pups born



  MEASURE SUMMARY
Measure Summary Female
Number of strains tested11 strains
Mean of the strain means4.80   n
Median of the strain means4.76   n
SD of the strain means± 0.818
Coefficient of variation (CV)0.170
Min–max range of strain means3.59   –   6.69   n
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 10 53.5543 5.3554 5.8517 < 0.0001
Residuals 76 69.5546 0.9152


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
BXH10/TyJ f 4.95 0.953   8 0.337 0.193 3.5, 6.3 0.18
BXH14/TyJ f 4.76 0.924   7 0.349 0.194 3.8, 6.0 -0.05
BXH19/TyJ f 4.34 1.49   8 0.527 0.344 2.7, 6.8 -0.57
BXH20/KccJ f 4.85 0.619   8 0.219 0.128 4.0, 6.0 0.06
BXH22/KccJ f 6.69 0.967   8 0.342 0.145 5.3, 8.2 2.31
BXH2/TyJ f 3.83 0.927   8 0.328 0.242 2.8, 5.3 -1.19
BXH4/TyJ f 4.65 0.756   8 0.267 0.163 3.8, 5.8 -0.19
BXH6/TyJ f 5.29 0.69   8 0.244 0.13 4.4, 6.1 0.59
BXH7/TyJ f 5.24 1.13   8 0.4 0.216 3.7, 7.0 0.53
BXH8/TyJ f 3.59 0.871   8 0.308 0.243 2.0, 4.6 -1.48
BXH9/TyJ f 4.66 0.898   8 0.317 0.192 2.9, 5.7 -0.18


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
BXH10/TyJ f 4.95 0.3382 5.6236 4.2764
BXH14/TyJ f 4.7571 0.3616 5.4773 4.037
BXH19/TyJ f 4.3375 0.3382 5.0111 3.6639
BXH20/KccJ f 4.85 0.3382 5.5236 4.1764
BXH22/KccJ f 6.6875 0.3382 7.3611 6.0139
BXH2/TyJ f 3.825 0.3382 4.4986 3.1514
BXH4/TyJ f 4.65 0.3382 5.3236 3.9764
BXH6/TyJ f 5.2875 0.3382 5.9611 4.6139
BXH7/TyJ f 5.2375 0.3382 5.9111 4.5639
BXH8/TyJ f 3.5875 0.3382 4.2611 2.9139
BXH9/TyJ f 4.6625 0.3382 5.3361 3.9889




  GWAS USING LINEAR MIXED MODELS