Project measure / variable:   Schughart4   pctGRA_ctrl_d3

ID, description, units MPD:58771   pctGRA_ctrl_d3   granulocyte differential (percent of total WBC), control group, day 3   [%]  
influenza A (H3N2) virus study
Data set, strains Schughart4   inbred w/CC8   8 strains     sex: f     age: 8-12wks
Procedure complete blood count
Ontology mappings

  •   Or, add this measure to your collection.
       
  •     no folder
  •     put it in new folder  

  STRAIN COMPARISON PLOT
Dimensions Width:   px    Height:   px
Download Plot   
Visualization Options

Schughart4 - granulocyte differential (percent of total WBC), control group, day 3



  MEASURE SUMMARY
Measure Summary Female
Number of strains tested8 strains
Mean of the strain means8.66   %
Median of the strain means8.77   %
SD of the strain means± 5.01
Coefficient of variation (CV)0.579
Min–max range of strain means2.54   –   17.9   %
Mean sample size per strain5.2   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
strain 7 913.7442 130.5349 6.3498 0.0001
Residuals 34 698.9542 20.5575


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
129S1/SvImJ f 6.43 3.84   6 1.57 0.596 2.4, 11.7 -0.44
A/J f 7.6 2.03   6 0.831 0.268 5.4, 10.2 -0.21
C57BL/6J f 2.54 1.23   5 0.55 0.484 1.3, 4.3 -1.22
CAST/EiJ f 2.87 1.92   6 0.783 0.669 1.0, 5.4 -1.16
NOD/ShiLtJ f 17.9 3.73   5 1.67 0.208 12.6, 23.1 1.84
NZO/HlLtJ f 11.6 6.75   5 3.02 0.581 6.1, 22.3 0.59
PWK/PhJ f 9.93 6.86   4 3.43 0.691 4.3, 19.2 0.25
WSB/EiJ f 10.4 7.09   5 3.17 0.68 3.8, 22.0 0.35


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 6.4333 1.851 10.195 2.6716
A/J f 7.6 1.851 11.3617 3.8383
C57BL/6J f 2.54 2.0277 6.6607 0.0
CAST/EiJ f 2.8667 1.851 6.6284 0.0
NOD/ShiLtJ f 17.88 2.0277 22.0007 13.7593
NZO/HlLtJ f 11.62 2.0277 15.7407 7.4993
PWK/PhJ f 9.925 2.267 14.5321 5.3179
WSB/EiJ f 10.44 2.0277 14.5607 6.3193




  GWAS USING LINEAR MIXED MODELS