Project measure / variable:   CSNA03   antici_incorrect_in_rev_Binghamton

ID, description, units MPD:112890   antici_incorrect_in_rev_Binghamton   mean number of anticipatory nose pokes made in incorrect flanking hole without prior successful nose poke in central hole (reversal learning assay), founders   [n]  reversal  
Data set, strains CSNA03   inbred w/CC8   8 strains     sex: both     age:
Procedure operant conditioning chamber
Ontology mappings

  STRAIN COMPARISON PLOT
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CSNA03 - mean number of anticipatory nose pokes made in incorrect flanking hole without prior successful nose poke in central hole (reversal learning assay), founders reversal



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested8 strains8 strains
Mean of the strain means0.99585   n 0.74676   n
Median of the strain means0.91649   n 0.71247   n
SD of the strain means± 0.70783 ± 0.37305
Coefficient of variation (CV)0.7108 0.4996
Min–max range of strain means0.26908   –   2.4018   n 0.22682   –   1.3784   n
Mean sample size per strain5.9   mice 5.0   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 1.8131 1.8131 3.5676 0.063
strain 7 22.0536 3.1505 6.1993 < 0.0001
sex:strain 7 5.8056 0.8294 1.632 0.1405
Residuals 71 36.0824 0.5082


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
129S1/SvImJ f 1.2426 0.69511   7 0.26273 0.5594 0.46, 2.5 0.35
129S1/SvImJ m 1.3784 0.92171   5 0.4122 0.6687 0.11194, 2.66 1.69
A/J f 1.4249 0.73681   6 0.3008 0.5171 0.50481, 2.2357 0.61
A/J m 1.1001 0.4098   6 0.1673 0.3725 0.5065, 1.615 0.95
C57BL/6J f 0.87946 0.33341   5 0.1491 0.3791 0.46309, 1.3295 -0.16
C57BL/6J m 0.85433 0.66657   6 0.27213 0.7802 0.245, 2.0989 0.29
CAST/EiJ f 0.26908 0.16277   6 0.06645 0.6049 0.05, 0.414 -1.03
CAST/EiJ m 0.42642 0.12032   4 0.06016 0.2822 0.3529, 0.60625 -0.86
NOD/ShiLtJ f 0.95352 0.52651   5 0.23546 0.5522 0.455, 1.6279 -0.06
NOD/ShiLtJ m 0.56308 0.34884   5 0.156 0.6195 0.17, 1.1162 -0.49
NZO/HlLtJ f 2.4018 1.8575   7 0.70207 0.7734 0.15, 5.33 1.99
NZO/HlLtJ m 0.83435 0.23609   4 0.11805 0.283 0.70245, 1.188 0.23
PWK/PhJ f 0.28266 0.23093   6 0.09428 0.817 0.045, 0.6147 -1.01
PWK/PhJ m 0.22682 0.1108   6 0.04523 0.4885 0.08, 0.414 -1.39
WSB/EiJ f 0.51277 0.22316   5 0.0998 0.4352 0.26829, 0.75758 -0.68
WSB/EiJ m 0.59058 0.36372   4 0.18186 0.6159 0.19753, 1.0783 -0.42


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 1.2425857143 0.2694445438 1.7798428754 0.7053285532
129S1/SvImJ m 1.378388 0.3188110837 2.0140792459 0.7426967541
A/J f 1.4249183333 0.2910333702 2.0052223916 0.8446142751
A/J m 1.1000833333 0.2910333702 1.6803873916 0.5197792751
C57BL/6J f 0.879458 0.3188110837 1.5151492459 0.2437667541
C57BL/6J m 0.8543333333 0.2910333702 1.4346373916 0.2740292751
CAST/EiJ f 0.2690833333 0.2910333702 0.8493873916 -0.3112207249
CAST/EiJ m 0.426425 0.3564416275 1.1371494192 -0.2842994192
NOD/ShiLtJ f 0.95352 0.3188110837 1.5892112459 0.3178287541
NOD/ShiLtJ m 0.56308 0.3188110837 1.1987712459 -0.0726112459
NZO/HlLtJ f 2.4017557143 0.2694445438 2.9390128754 1.8644985532
NZO/HlLtJ m 0.8343525 0.3564416275 1.5450769192 0.1236280808
PWK/PhJ f 0.2826616667 0.2910333702 0.8629657249 -0.2976423916
PWK/PhJ m 0.22682 0.2910333702 0.8071240583 -0.3534840583
WSB/EiJ f 0.512774 0.3188110837 1.1484652459 -0.1229172459
WSB/EiJ m 0.590575 0.3564416275 1.3012994192 -0.1201494192


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 1.3104868571 0.2087108462 1.7266444647 0.8943292496
A/J both 1.2625008333 0.2057916696 1.6728377681 0.8521638986
C57BL/6J both 0.8668956667 0.215836124 1.2972606746 0.4365306588
CAST/EiJ both 0.3477541667 0.2300820812 0.8065248066 -0.1110164732
NOD/ShiLtJ both 0.7583 0.2254334792 1.2078015907 0.3087984093
NZO/HlLtJ both 1.6180541071 0.2234116134 2.063524212 1.1725840023
PWK/PhJ both 0.2547408333 0.2057916696 0.6650777681 -0.1555961014
WSB/EiJ both 0.5516745 0.2391083127 1.0284429344 0.0749060656




  GWAS USING LINEAR MIXED MODELS