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. 2019 Apr 9;6(2):ENEURO.0086-19.2019. doi: 10.1523/ENEURO.0086-19.2019

Table 2.

Statistical table

Data structure Type of test 95% confidence interval
a Normal distribution One-way ANOVA, Bonferroni's multiple comparison post hoc test [–20.96, –1.920]
b Normal distribution Student’s t, two-tailed [–1.786, 66.14]
c Normal distribution Student’s t, two-tailed [–69.34, –7.449]
d Normal distribution One-way ANOVA, Dunnett’s multiple comparison post hoc test [–23.38, 32.66]
e Normal distribution One-way ANOVA, Dunnett’s multiple comparison post hoc test [18.43, 80.26]
f Normal distribution One-way ANOVA, Dunnett’s multiple comparison post hoc test [18.77, 77.36]
g Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.155, 3.345]
h Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.048, 1.645]
i Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.077, 1.438]
j Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.062, 1.240]
k Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.049, 13.756]
l Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.056, 9.819]
m Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.022, 1.931]
n Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.019, 1.771]
o Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.033, 1.649]
p Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.367, 1.650]
q Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.011, 0.922]
r Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.024, 1.198]
s Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.361, 1.499]
t Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.016, 22.586]
u Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.022, 1.931]
v Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.024, 1.564]
w Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.662, 1.628]
x Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.473, 2.347]
y Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.676, 9.860]
z Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.595, 2.040]
aa Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.570, 2.160]
ab Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.461, 1.626]
ac Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.360, 1.574]
ad Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.432, 1.370]
ae Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.315, 1.722]
af Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.450, 1.469]
ag Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.281, 1.182]
ah Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.283, 1.425]
ai Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.469, 1.389]
aj Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.652, 3.255]
ak Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.480, 2.787]
al Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.856, 4.190]
am Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.812, 1.928]
an Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.530, 30.724]
ao Normal distribution (central limit theorem) Randomization test, 2000 iterations [0.294, 1.836]
ap Normal distribution Student’s t, two-tailed [0.480, 0.694]
aq Normal distribution Student’s t, two-tailed [0.346, 0.617]