Project measure / variable:   Brown2   probe_quad_corr


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

Brown2 - probe trial duration, correct quadrant



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested13 strains14 strains
Mean of the strain means18.5   s 19.1   s
Median of the strain means16.9   s 17.0   s
SD of the strain means± 5.59 ± 4.65
Coefficient of variation (CV)0.303 0.243
Min–max range of strain means11.4   –   30.2   s 13.3   –   27.6   s
Mean sample size per strain10.3   mice 9.8   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 17.1081 17.1081 0.196 0.6583
strain 12 4928.0831 410.6736 4.7059 < 0.0001
sex:strain 12 921.0052 76.7504 0.8795 0.5686
Residuals 237 20682.5344 87.2681


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 25.5 11.9   12 3.44 0.467 1.26
129S1/SvImJ m 21.9 10.4   12 3.0 0.475 3.84, 37.2 0.6
A/J f 12.1 7.91   6 3.23 0.656 4.94, 27.0 -1.14
A/J m 14.4 9.06   18 2.14 0.628 -1.01
AKR/J f 16.9 9.22   12 2.66 0.544 -0.28
AKR/J m 15.2 5.73   12 1.66 0.377 3.87, 27.6 -0.84
BALB/cByJ f 14.4 12.2   15 3.14 0.848 -0.73
BALB/cByJ m 16.7 8.83   6 3.61 0.529 -0.52
BALB/cJ f 11.4 10.6   14 2.82 0.927 -1.26
BALB/cJ m 16.5 9.08   10 2.87 0.55 5.68, 33.8 -0.56
C3H/HeJ f 13.5 6.99   10 2.21 0.516 4.99, 29.5 -0.89
C3H/HeJ m 14.4 10.3   9 3.45 0.717 3.37, 37.8 -1.01
C57BL/6J f 24.1 6.31   12 1.82 0.261 16.8, 36.6 1.01
C57BL/6J m 24.2 8.24   12 2.38 0.341 8.19, 35.0 1.09
CAST/EiJ f 16.3 9.13   9 3.04 0.561 1.57, 32.1 -0.39
CAST/EiJ m 17.4 7.13   10 2.25 0.409 5.01, 28.2 -0.37
DBA/2J f 22.2 4.42   6 1.81 0.199 13.8, 26.7 0.67
DBA/2J m 27.6 12.6   6 5.15 0.457 12.1, 45.2 1.82
FVB/NJ f 30.2 8.77   6 3.58 0.29 22.5, 47.1 2.1
FVB/NJ m 24.3 11.2   6 4.57 0.462 8.84, 36.5 1.11
MOLF/EiJ f 16.8 9.92   12 2.86 0.592 4.11, 38.7 -0.3
MOLF/EiJ m 24.1 12.7   4 6.36 0.527 8.48, 36.5 1.07
SJL/J f 19.1 10.9   12 3.14 0.568 7.23, 42.8 0.11
SJL/J m 13.3 8.49   12 2.45 0.637 2.74, 27.4 -1.25
SM/J f 17.6 9.48   8 3.35 0.539 4.87, 30.0 -0.16
SM/J m 21.5 6.56   12 1.89 0.305 10.2, 35.3 0.51
SPRET/EiJ m 16.1 3.44   11 1.04 0.213 9.26, 21.5 -0.65


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 25.475 2.6967 30.7876 20.1624
129S1/SvImJ m 21.9017 2.6967 27.2143 16.589
A/J f 12.055 3.8137 19.5682 4.5418
A/J m 14.4302 2.2019 18.768 10.0925
AKR/J f 16.9483 2.6967 22.261 11.6357
AKR/J m 15.1908 2.6967 20.5035 9.8782
BALB/cByJ f 14.3567 2.412 19.1084 9.6049
BALB/cByJ m 16.7 3.8137 24.2132 9.1868
BALB/cJ f 11.3829 2.4967 16.3014 6.4643
BALB/cJ m 16.506 2.9541 22.3257 10.6863
C3H/HeJ f 13.532 2.9541 19.3517 7.7123
C3H/HeJ m 14.4233 3.1139 20.5578 8.2889
C57BL/6J f 24.1333 2.6967 29.446 18.8207
C57BL/6J m 24.1658 2.6967 29.4785 18.8532
CAST/EiJ f 16.2778 3.1139 22.4123 10.1433
CAST/EiJ m 17.418 2.9541 23.2377 11.5983
DBA/2J f 22.2167 3.8137 29.7298 14.7035
DBA/2J m 27.6 3.8137 35.1132 20.0868
FVB/NJ f 30.2167 3.8137 37.7298 22.7035
FVB/NJ m 24.2733 3.8137 31.7865 16.7602
MOLF/EiJ f 16.7725 2.6967 22.0851 11.4599
MOLF/EiJ m 24.145 4.6709 33.3467 14.9433
SJL/J f 19.14 2.6967 24.4526 13.8274
SJL/J m 13.3267 2.6967 18.6393 8.014
SM/J f 17.6 3.3028 24.1066 11.0934
SM/J m 21.4833 2.6967 26.796 16.1707


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 23.6883 1.9069 27.4449 19.9317
A/J both 13.2426 2.2019 17.5803 8.9049
AKR/J both 16.0696 1.9069 19.8262 12.313
BALB/cByJ both 15.5283 2.2562 19.9732 11.0835
BALB/cJ both 13.9444 1.9339 17.7543 10.1346
C3H/HeJ both 13.9777 2.1461 18.2056 9.7498
C57BL/6J both 24.1496 1.9069 27.9062 20.393
CAST/EiJ both 16.8479 2.1461 21.0758 12.62
DBA/2J both 24.9083 2.6967 30.221 19.5957
FVB/NJ both 27.245 2.6967 32.5576 21.9324
MOLF/EiJ both 20.4588 2.6967 25.7714 15.1461
SJL/J both 16.2333 1.9069 19.9899 12.4767
SM/J both 19.5417 2.132 23.7417 15.3417




  GWAS USING LINEAR MIXED MODELS