Project measure / variable:   CSNA03   antici_incorrect_in_acq_Binghamton

ID, description, units MPD:112889   antici_incorrect_in_acq_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]  acquisition  
Data set, strains CSNA03   inbred w/CC8   8 strains     sex: both     age:
Procedure operant conditioning chamber
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  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 acquisition



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested8 strains8 strains
Mean of the strain means0.44567   n 0.39142   n
Median of the strain means0.33413   n 0.36914   n
SD of the strain means± 0.26259 ± 0.25646
Coefficient of variation (CV)0.5892 0.6552
Min–max range of strain means0.18925   –   0.93696   n 0.08495   –   0.8865   n
Mean sample size per strain5.2   mice 4.8   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 0.0501 0.0501 0.302 0.5845
strain 7 4.111 0.5873 3.5398 0.0028
sex:strain 7 1.0087 0.1441 0.8686 0.5362
Residuals 64 10.6182 0.1659


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 0.37094 0.3531   7 0.13346 0.9519 0.05882, 1.0 -0.28
129S1/SvImJ m 0.51472 0.55096   4 0.27548 1.0704 0.08197, 1.2769 0.48
A/J f 0.59849 0.58092   5 0.2598 0.9706 0.06897, 1.4675 0.58
A/J m 0.8865 0.82274   6 0.33588 0.9281 0.277, 2.42 1.93
C57BL/6J f 0.26075 0.08719   5 0.03899 0.3344 0.1346, 0.38 -0.7
C57BL/6J m 0.15852 0.04082   5 0.01825 0.2575 0.107, 0.22 -0.91
CAST/EiJ f 0.18925 0.15577   6 0.06359 0.8231 0.0869, 0.484 -0.98
CAST/EiJ m 0.08495 0.06986   4 0.03493 0.8224 0.0123, 0.18 -1.19
NOD/ShiLtJ f 0.66822 0.45   5 0.20125 0.6734 0.25, 1.3611 0.85
NOD/ShiLtJ m 0.52816 0.23332   5 0.10434 0.4418 0.2, 0.808 0.53
NZO/HlLtJ f 0.93696 0.70062   6 0.28603 0.7478 0.27, 2.28 1.87
NZO/HlLtJ m 0.4075 0.20222   4 0.10111 0.4962 0.13, 0.6 0.06
PWK/PhJ f 0.24345 0.21439   4 0.1072 0.8806 0.0613, 0.48 -0.77
PWK/PhJ m 0.22023 0.12958   6 0.0529 0.5884 0.07216, 0.41463 -0.67
WSB/EiJ f 0.29731 0.18873   4 0.09437 0.6348 0.1, 0.54737 -0.56
WSB/EiJ m 0.33079 0.19883   4 0.09942 0.6011 0.13043, 0.60577 -0.24


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 0.37094 0.1539525736 0.6784956217 0.0633843783
129S1/SvImJ m 0.5147175 0.2036601117 0.9215753446 0.1078596554
A/J f 0.598494 0.1821591417 0.9623987191 0.2345892809
A/J m 0.8865 0.1662877849 1.218698039 0.554301961
C57BL/6J f 0.26075 0.1821591417 0.6246547191 -0.1031547191
C57BL/6J m 0.158522 0.1821591417 0.5224267191 -0.2053827191
CAST/EiJ f 0.18925 0.1662877849 0.521448039 -0.142948039
CAST/EiJ m 0.08495 0.2036601117 0.4918078446 -0.3219078446
NOD/ShiLtJ f 0.66822 0.1821591417 1.0321247191 0.3043152809
NOD/ShiLtJ m 0.528156 0.1821591417 0.8920607191 0.1642512809
NZO/HlLtJ f 0.9369633333 0.1662877849 1.2691613724 0.6047652943
NZO/HlLtJ m 0.4075 0.2036601117 0.8143578446 0.0006421554
PWK/PhJ f 0.24345 0.2036601117 0.6503078446 -0.1634078446
PWK/PhJ m 0.2202266667 0.1662877849 0.5524247057 -0.1119713724
WSB/EiJ f 0.297315 0.2036601117 0.7041728446 -0.1095428446
WSB/EiJ m 0.3307925 0.2036601117 0.7376503446 -0.0760653446


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 0.44282875 0.1276507305 0.6978403998 0.1878171002
A/J both 0.742497 0.1233223219 0.9888616595 0.4961323405
C57BL/6J both 0.209636 0.1288059643 0.4669554946 -0.0476834946
CAST/EiJ both 0.1371 0.1314620368 0.3997256094 -0.1255256094
NOD/ShiLtJ both 0.598188 0.1288059643 0.8555074946 0.3408685054
NZO/HlLtJ both 0.6722316667 0.1314620368 0.9348572761 0.4096060573
PWK/PhJ both 0.2318383333 0.1314620368 0.4944639427 -0.0307872761
WSB/EiJ both 0.31405375 0.1440094461 0.6017456909 0.0263618091




  GWAS USING LINEAR MIXED MODELS