Project measure / variable:   Gershenfeld1   defecation

ID, description, units MPD:16218   defecation   number of fecal boli, 15 min test   [n]  baseline  
imipramine study
Data set, strains Gershenfeld1   inbred   12 strains     sex: m     age: 5-10wks
Procedure open field test
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  STRAIN COMPARISON PLOT
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Gershenfeld1 - number of fecal boli, 15 min test baseline



  MEASURE SUMMARY
Measure Summary Male
Number of strains tested12 strains
Mean of the strain means4.73   n
Median of the strain means5.00   n
SD of the strain means± 2.11
Coefficient of variation (CV)0.446
Min–max range of strain means0.250   –   7.80   n
Mean sample size per strain5.0   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
strain 11 232.5071 21.137 6.1829 < 0.0001
Residuals 51 174.35 3.4186


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
129S6/SvEvTac m 5.8 2.17   5 0.97 0.374 3.0, 9.0 0.51
A/J m 5.8 1.92   5 0.86 0.332 4.0, 9.0 0.51
AKR/J m 4.6 1.52   5 0.678 0.33 2.0, 6.0 -0.06
BALB/cJ m 4.4 2.51   5 1.12 0.57 2.0, 8.0 -0.16
C3H/HeJ m 6.4 2.19   5 0.98 0.342 4.0, 10.0 0.79
C57BL/6J m 2.4 1.34   5 0.6 0.559 -1.11
Crl:NMRI(Han) m 7.8 1.1   5 0.49 0.14 6.0, 9.0 1.45
DBA/2J m 3.6 1.14   5 0.51 0.317 2.0, 5.0 -0.54
FVB/NJ m 5.4 1.52   5 0.678 0.281 3.0, 7.0 0.32
LP/J m 3.33 1.8   9 0.601 0.541 1.0, 7.0 -0.66
SENCARA/PtJ m 0.25 0.5   4 0.25 2.0 -2.12
SWR/J m 7.0 2.92   5 1.3 0.416 4.0, 11.0 1.08


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S6/SvEvTac m 5.8 0.8269 7.46 4.14
A/J m 5.8 0.8269 7.46 4.14
AKR/J m 4.6 0.8269 6.26 2.94
BALB/cJ m 4.4 0.8269 6.06 2.74
C3H/HeJ m 6.4 0.8269 8.06 4.74
C57BL/6J m 2.4 0.8269 4.06 0.74
Crl:NMRI(Han) m 7.8 0.8269 9.46 6.14
DBA/2J m 3.6 0.8269 5.26 1.94
FVB/NJ m 5.4 0.8269 7.06 3.74
LP/J m 3.3333 0.6163 4.5706 2.096
SENCARA/PtJ m 0.25 0.9245 2.106 0.0
SWR/J m 7.0 0.8269 8.66 5.34




  GWAS USING LINEAR MIXED MODELS