Table 2.

Statistical table

Data structureType of test95% confidence interval
aNormal distributionOne-way ANOVA, Bonferroni's multiple comparison post hoc test[–20.96, –1.920]
bNormal distributionStudent’s t, two-tailed[–1.786, 66.14]
cNormal distributionStudent’s t, two-tailed[–69.34, –7.449]
dNormal distributionOne-way ANOVA, Dunnett’s multiple comparison post hoc test[–23.38, 32.66]
eNormal distributionOne-way ANOVA, Dunnett’s multiple comparison post hoc test[18.43, 80.26]
fNormal distributionOne-way ANOVA, Dunnett’s multiple comparison post hoc test[18.77, 77.36]
gNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.155, 3.345]
hNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.048, 1.645]
iNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.077, 1.438]
jNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.062, 1.240]
kNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.049, 13.756]
lNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.056, 9.819]
mNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.022, 1.931]
nNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.019, 1.771]
oNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.033, 1.649]
pNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.367, 1.650]
qNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.011, 0.922]
rNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.024, 1.198]
sNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.361, 1.499]
tNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.016, 22.586]
uNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.022, 1.931]
vNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.024, 1.564]
wNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.662, 1.628]
xNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.473, 2.347]
yNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.676, 9.860]
zNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.595, 2.040]
aaNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.570, 2.160]
abNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.461, 1.626]
acNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.360, 1.574]
adNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.432, 1.370]
aeNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.315, 1.722]
afNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.450, 1.469]
agNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.281, 1.182]
ahNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.283, 1.425]
aiNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.469, 1.389]
ajNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.652, 3.255]
akNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.480, 2.787]
alNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.856, 4.190]
amNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.812, 1.928]
anNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.530, 30.724]
aoNormal distribution (central limit theorem)Randomization test, 2000 iterations[0.294, 1.836]
apNormal distributionStudent’s t, two-tailed[0.480, 0.694]
aqNormal distributionStudent’s t, two-tailed[0.346, 0.617]