Skip to main content
. 2020 Mar 3;7(2):ENEURO.0285-19.2020. doi: 10.1523/ENEURO.0285-19.2020

Table 1.

Statistical tests used to analyze data

Feature Comparison Data structure (D’Agostino normality test) Type of test Sample size
(# of NMJs, # of animals)
Mean Statistic p Value Outlier test
Structure
Bouton number w1118 vs cowGDP/Df Normal Unpaired two-tailed t test w1118 (15,8); cow null (16,8) 23.53 vs 41.13 t = 8.296 df = 29 p < 0.0001
Bouton number vglut-GAL4 vs UAS-cow-RNAi Not normal Kruskal–Wallis with Dunn's multiple-comparisons test vglut-GAL4 (16,8); UAS-Cow-RNAi (16,8) 26.69 vs 28.8 Mean rank diff = −2.938 p > 0.9999
vglut-GAL4 vs vglut>cow-RNAi vglut-GAL4 (16,8); vglut>cow-RNAi (15,8) 26.69 vs 37.38 Mean rank diff = −19.09 p = 0.0002
UAS-cow-RNAi vs vglut>cow-RNAi UAS-cow-RNAi (16,8); vglut>cow-RNAi (15,8) 28.8 vs 37.38 Mean rank diff = −16.16 p = 0.0031
Bouton number 24B-GAL4 vs UAS-cow-RNAi Not normal Kruskal–Wallis with Dunn's multiple-comparisons test 24B-GAL4 (16,8); UAS-cow-RNAi (16,8) 30.63 vs 31.5 Mean rank diff = −6.188 p = 0.6307
24B-GAL4 vs 24B>cow-RNAi 24B-GAL4 (16,8); 24B>cow-RNAi (16,8) 30.63 vs 28.06 Mean rank diff = 3.563 p > 0.9999
UAS-cow-RNAi vs 24B>cow-RNAi UAS-cow-RNAi (16,8); 24B>cow-RNAi (16,8) 31.5 vs 28.06 Mean rank diff = 9.75 p = 0.1451
Bouton number vglut/+ vs vglut>Cow Normal Unpaired two-tailed t test vglut/+ (16,8); vglut>Cow (16,8) 25.25 vs 27.06 t = 1.122 df = 30 p = 0.2706
Bouton number 24B/+ vs 24B>Cow Normal Unpaired two-tailed t test 24B/+ (16,8); 24B>Cow (16,8) 30.38 vs 29.81 t = 0.2317 df = 30 p = 0.8183
Bouton number FRT-Wg vs FRT-Wg;CowGDP Not normal Kruskal–Wallis with Dunn's multiple-comparisons test FRT-Wg (24,12); FRT-Wg;CowGDP (24,12) 26.71 vs 31.71 Mean rank diff = −22.29 p = 0.0300
FRT-Wg vs NRT-Wg FRT-Wg (24,12); NRT-Wg (24,12) 26.71 vs 27.04 Mean rank diff = −3.521 p > 0.9999
FRT-Wg vs NRT-Wg;CowGDP FRT-Wg (24,12); NRT-Wg;CowGDP (23,12) 26.71 vs 26.78 Mean rank diff = 0.4312 p > 0.9999
FRT-Wg;CowGDP vs NRT-Wg FRT-Wg;CowGDP (24,12); NRT-Wg (24,12) 31.71 vs 27.04 Mean rank diff = 18.77 p = 0.1085
FRT-Wg;CowGDP vs NRT-Wg;CowGDP FRT-Wg;CowGDP (24,12); NRT-Wg;CowGDP (23,12) 31.71 vs 26.78 Mean rank diff = 22.72 p = 0.0278
NRT-Wg vs NRT-Wg;CowGDP NRT-Wg (24,12); NRT-Wg;CowGDP (23,12) 27.04 vs 26.78 Mean rank diff = 3.952 p > 0.9999
Bouton number w1118 vs cowGDP/+ Not normal Kruskal–Wallis with Dunn's multiple-comparisons test w1118 (15,8); cowGDP/+ (15,8) 28.33 vs 35.73 Mean rank diff = −15.93 p = 0.0929
w1118 vs NotumKO/+ w1118 (15,8); NotumKO/+ (16,8) 28.33 vs30.75 Mean rank diff = −5.565 p > 0.9999
w1118 vs. cowGDP/NotumKO w1118 (15,8); cowGDP/NotumKO (16,8) 28.33 vs 46.13 Mean rank diff = −35.81 p < 0.0001
cowGDP/+ vs NotumKO/+ cowGDP/+ (15,8); NotumKO/+ (16,8) 35.73 vs 30.75 Mean rank diff = 10.37 p = 0.6569
cowGDP/+ vs cowGDP/NotumKO cowGDP/+ (15,8); cowGDP/NotumKO (16,8) 35.75 vs 46.13 Mean rank diff = −19.88 p = 0.0129
NotumKO/+ vs cowGDP/NotumKO NotumKO/+ (16,8); cowGDP/NotumKO (16,8) 30.75 vs 46.13 Mean rank diff = −30.25 p < 0.0001
Bouton number w1118 vs cowGDP/cowGDP Normal Ordinary one-way ANOVA with Tukey's multiple-comparisons test w1118 (18,10); cowGDP/cowGDP (19,10) 22.94 vs 33.74 q = 9.731 df = 76 p < 0.0001
w1118 vs NotumKO/NotumKO w1118 (18,10); NotumKO/NotumKO (20,10) 22.94 vs 30.5 q = 6.897 df = 76 p < 0.0001
w1118 vs cowGDP,NotumKO/cowGDP,NotumKO w1118 (18,10); cowGDP,NotumKO/cowGDP,NotumKO (23,12) 22.94 vs 29.13 q = 5.83 df = 76 p = 0.0005
cowGDP/cowGDP vs NotumKO/NotumKO cowGDP/cowGDP (19,10); NotumKO/NotumKO (20,10) 33.74 vs 30.5 q = 2.996 df = 76 p = 0.1564
cowGDP/cowGDP vs cowGDP,NotumKO/cowGDP,NotumKO cowGDP/cowGDP (19,10); cowGDP,NotumKO/cowGDP,NotumKO (23,12) 33.74 vs 29.13 q = 4.407 df = 76 p = 0.0135
NotumKO/NotumKO vs cowGDP,NotumKO/cowGDP,NotumKO NotumKO/NotumKO (20,10); cowGDP,NotumKO/cowGDP,NotumKO (23,12) 30.5 vs 29.13 q = 1.328 df = 76 p = 0.7838
% Satellite Boutons w1118 vs cowGDP/Df Normal Unpaired two-tailed t test w1118 (15,8); cow null (15,8) 3.301 vs 3.336% t = 0.03021 df = 28 p = 0.9761 ROUT, Q = 1%, removed 1 cowGDP/Df value
% Satellite boutons vglut-GAL4/+ vs UAS-Cow-RNAi/+ Normal Ordinary one-way ANOVA with Tukey's multiple-comparisons test vglut-GAL4/+ (16,8); UAS-Cow-RNAi/+ (15,8) 2.895 vs 2.908% q = 0.016 df = 42 p > 0.9999 ROUT, iQ = 1%, removed 2 vglut>Cow-RNAi values
vglut-GAL4/+ vs vglut>Cow-RNAi vglut-GAL4/+ (16,8); vglut>Cow-RNAi (14,8) 2.895 vs 5.772% q = 3.309 df = 42 p = 0.0612
UAS-Cow-RNAi/+ vs vglut>Cow-RNAi UAS-Cow-RNAi/+ (15,8); vglut>Cow-RNAi (14,8) 2.908 vs 5.772% q = 3.244 df = 42 p = 0.0677
% Satellite boutons 24B-GAL4/+ vs UAS-Cow-RNAi/+ Not normal Kruskal–Wallis with Dunn's multiple-comparisons test 24B-GAL4/+ (16,8); UAS-Cow-RNAi/+ (16,8) 0.88 vs 2.381% Mean rank diff = −8.656 p = 0.1328
24B-GAL4/+ vs 24B>cow-RNAi 24B-GAL4/+ (16,8); 24B>cow-RNAi (16,8) 0.88 vs 2.806% Mean rank diff = −8.969 p = 0.1114
UAS-Cow-RNAi/+ vs 24B>cow-RNAi UAS-Cow-RNAi/+ (16,8): 24B>cow-RNAi (16,8) 2.381 vs 2.806% Mean rank diff = −0.3125 p > 0.9999
% Satellite boutons vglut/+ vs vglut>Cow Not normal Mann–Whitney test vglut/+ (16,8); vglut>Cow (16,8) 2.326 vs 7.121% U = 38 p = 0.0003
% Satellite boutons 24B/+ vs 24B>Cow Normal Unpaired two-tailed t test 24B/+ (16,8); 24B>Cow (16,8) 3.164 vs 5.476% t = 1.177 df = 30 p = 0.2486
% Satellite boutons FRT-Wg vs FRT-Wg;CowGDP Not normal Kruskal–Wallis with Dunn's multiple-comparisons test FRT-Wg (16,8); FRT-Wg;CowGDP (16,8) 2.038 vs 1.002% Mean rank diff = 5.167 p > 0.9999
FRT-Wg vs NRT-Wg FRT-Wg (16,8); NRT-Wg (16,8) 2.038 vs 8.304% Mean rank diff = −26.08 p = 0.0021
FRT-Wg vs NRT-Wg;CowGDP FRT-Wg (16,8); NRT-Wg;CowGDP (16,8) 2.038 vs 3.595% Mean rank diff = −5.452 p > 0.9999
FRT-Wg;CowGDP vs NRT-Wg FRT-Wg;CowGDP (16,8); NRT-Wg (16,8) 1.002 vs 8.304% Mean rank diff = −31.25 p = 0.0001
FRT-Wg;CowGDP vs NRT-Wg;CowGDP FRT-Wg;CowGDP (16,8); NRT-Wg;CowGDP (16,8) 1.002 vs3.595% Mean rank diff = −10.62 p > 0.9999
NRT-Wg vs NRT-Wg;CowGDP NRT-Wg (16,8); NRT-Wg;CowGDP (16,8) 8.304 vs 3.595% Mean rank diff = 20.63 p = 0.0038
% Satellite boutons w1118 vs cowGDP/+ Not normal Kruskal–Wallis with Dunn's multiple-comparisons test w1118 (15,8); cowGDP/+ (15,8) 1.89 vs 3.079% Mean rank diff = −7.867 p > 0.9999
w1118 vs NotumKO/+ w1118 (15,8); NotumKO/+ (16,8) 1.89 vs 3.379% Mean rank diff = −10.95 p = 0.4586
w1118 vs cowGDP/NotumKO w1118 (15,8); cowGDP/NotumKO (16,8) 1.89 vs 3.337% Mean rank diff = −13.2 p = 0.1961
cowGDP/+ vs NotumKO/+ cowGDP/+ (15,8); NotumKO/+ (16,8) 3.079 vs 3.379% Mean rank diff = −3.079 p > 0.9999
cowGDP/+ vs cowGDP/NotumKO cowGDP/+ (15,8); cowGDP/NotumKO (16,8) 3.079 vs 3.337% Mean rank diff = −5.329 p > 0.9999
NotumKO/+ vs cowGDP/NotumKO NotumKO/+ (16,8); cowGDP/NotumKO (16,8) 3.379 vs 3.337% Mean rank diff = −2.25 p > 0.9999
% Satellite boutons w1118 vs cowGDP/cowGDP Not normal Kruskal–Wallis with Dunn's multiple-comparisons test w1118 (18,10); cowGDP/cowGDP (19,10) 1.904 vs 1.623% Mean rank diff = 2.006 p > 0.9999
w1118 vs NotumKO/NotumKO w1118 (18,10); NotumKO/NotumKO (20,10) 1.904 vs 2.443% Mean rank diff = −1.989 p > 0.9999
w1118 vs cowGDP,NotumKO/cowGDP,NotumKO w1118 (18,10); cowGDP,NotumKO/cowGDP,NotumKO (23,12) 1.904 vs 0.5223% Mean rank diff = 9.155 p = 0.7029
cowGDP/cowGDP vs NotumKO/NotumKO cowGDP/cowGDP (19,10); NotumKO/NotumKO (20,10) 1.623 vs 2.443% Mean rank diff = −3.995 p > 0.9999
cowGDP/cowGDP vs cowGDP,NotumKO/cowGDP,NotumKO cowGDP/cowGDP (19,10); cowGDP,NotumKO/cowGDP,NotumKO (23,12) 1.623 vs 0.5223% Mean rank diff = 7.149 p > 0.9999
NotumKO/NotumKO vs cowGDP,NotumKO/cowGDP,NotumKO NotumKO/NotumKO (20,10); cowGDP,NotumKO/cowGDP,NotumKO (23,12) 2.443 vs 0.5223% Mean rank diff = 11.14 p = 0.2978
Expression
Cow intensity vglut/+ vs vglut>Cow Not normal Mann–Whitney test vglut/+ (16,8); vglut>Cow (16,8) 1 vs 3.035 U = 0 p < 0.0001
Cow intensity 24B/+ vs 24B>Cow Not normal Mann–Whitney test 24B/+ (16,8); 24B>Cow (16,8) 1 vs 3.907 U = 0 p < 0.0001
Wg intensity vglut/+ vs vglut>Cow Not normal Mann–Whitney test vglut/+ (16,8); vglut>Cow (16,8) 1 vs 0.6731 U = 46 p = 0.0014
Wg intensity 24B/+ vs 24B>Cow Normal Unpaired two-tailed t test 24B/+ (16,8); 24B>Cow (16,8) 1 vs 1.518 t = 3.266 df = 30 p = 0.0027
Wg intensity w1118 vs cowGDP/+ Normal Ordinary one-way ANOVA with Tukey's multiple-comparisons test w1118 (15,8); cowGDP/+ (15,8) 1 vs 0.885 q = 1.328 df = 56 p = 0.7840
w1118 vs NotumKO/+ w1118 (15,8); NotumKO/+ (15,8) 1 vs 1.095 q = 1.094 df = 56 p = 0.8660
w1118 vs cowGDP/NotumKO w1118 (15,8); cowGDP/NotumKO (15,8) 1 vs 0.9014 q = 1.139 df = 56 p = 0.8515
cowGDP/+ vs NotumKO/+ cowGDP/+ (15,8); NotumKO/+ (15,8) 0.885 vs 1.095 q = 2.422 df = 56 p = 0.3268
cowGDP/+ vs cowGDP/NotumKO cowGDP/+ (15,8); cowGDP/NotumKO (15,8) 0.885 vs 0.9014 q = 0.1886 df = 56 p = 0.9991
NotumKO/+ vs cowGDP/NotumKO NotumKO/+ (15,8); cowGDP/NotumKO (15,8) 1.095 vs 0.9014 q = 2.234 df = 56 p = 0.3985
Brp punctae number w1118 vs cowGDP Normal Unpaired two-tailed t test w1118 (15,8); cowGDP (15,8) 193.1 vs 284.8 t = 6.152 df = 28 p < 0.0001
Brp punctae Volume w1118 vs cowGDP Normal Unpaired two-tailed t test w1118 (15,8); cowGDP (15,8) 0.8576 vs 0.7164 μm3 t = 3.429 df = 28 p = 0.0019 ROUT, Q = 1%, removed 1 cowGDP value
Brp punctae number w1118 vs cowGDP Normal Unpaired two-tailed t test w1118 (11,8); cowGDP (10,8) 298.6 vs 387.9 t = 3.598 df = 19 p = 0.0019
GluR cluster number w1118 vs cowGDP Normal Unpaired two-tailed t test w1118 (11,8); cowGDP (9,6) 382 vs 542.8 t = 4.353 df = 18 p = 0.0004
Function
EJC amplitude w1118 vs cowGDP Normal Ordinary one-way ANOVA with Tukey's multiple-comparisons test w1118 (26,20); cowGDP (20,18) 171.6 vs 212.1 nA q = 3.868 df = 53 p = 0.0227 ROUT, Q = 1%, removed 1 cowGDP value
w1118 vs cowGDP/Df w1118 (26,20); cowGDP/Df (10,9) 171.6 vs 254.2 nA q = 4.197 df = 53 p = 0.0123
cowGDP vs cowGDP/Df cowGDP (20,18); cowGDP/Df (10,9) 212.1 vs 254.2 nA q = 1.063 df = 53 p = 0.7341
EJC amplitude w1118 vs cowGDP/+ Normal Ordinary one-way ANOVA with Tukey's multiple-comparisons test w1118 (10,6); cowGDP/+ (11,6) 217.2 vs 234.9 nA q = 0.9383 df = 40 p = 0.9101
w1118 vs notumKO/+ w1118 (10,6); notumKO/+ (11,9) 217.2 vs 214.1 nA q = 0.1649 df = 40 p = 0.9994
w1118 vs cowGDP/notumKO w1118 (10,6); cowGDP/notumKO (12,7) 217.2 vs 235.9 nA q = 1.009 df = 40 p = 0.8911
cowGDP/+ vs notumKO/+ cowGDP/+ (11,6); notumKO/+ (11,9) 234.9 vs 214.1 nA q = 1.13 df = 40 p = 0.8543
cowGDP/+ vs cowGDP/notumKO cowGDP/+ (11,6); cowGDP/notumKO (12,7) 234.9 vs 235.9 nA q = 0.05304 df = 40 p > 0.9999
notumKO/+ vs cowGDP/notumKO notumKO/+ (11,9); cowGDP/notumKO (12,7) 214.1 vs 235.9 nA q = 1.208 df = 40 p = 0.8282
mEJC Frequency w1118 vs cowGDP Normal Ordinary one-way ANOVA with Tukey's multiple-comparisons test w1118 (22,17); cowGDP (21,15) 1.396 vs 1.765 Hz q = 1.419 df = 53 p = 0.5780
w1118 vs cowGDP/Df w1118 (22,17); cowGDP/Df (13,11) 1.396 vs 2.41 Hz q = 3.406 q = 53 p = 0.0503
cowGDP vs cowGDP/Df cowGDP (21,15); cowGDP/Df (13,11) 1.764 vs 2.41 Hz q = 2.15 df = 53 p = 0.2897
mEJC Frequency vglut-GAL4/+ vs vglut>Cow-RNAi Normal Unpaired two-tailed t test vglut-GAL4/+ (10,7); vglut>Cow-RNAi (11,7) 1.497 vs 2.449 Hz t = 2.142 df = 19 p = 0.0454 ROUT, Q = 1%, removed 1 vglut-GAL4/+ value
mEJC amplitude w1118 vs cowGDP Normal Ordinary one-way ANOVA with Tukey's multiple-comparisons test w1118 (21,16); cowGDP (21,15) 0.7518 vs 0.8682 nA q = 2.506 df = 52 p = 0.1889 ROUT, Q = 1%, removed 1 w1118 value
w1118 vs cowGDP/Df w1118 (21,16); cowGDP/Df (13,11) 0.7518 vs 0.7165 nA q = 0.6647 df = 52 p = 0.8856
cowGDP vs cowGDP/Df cowGDP (21,15); cowGDP/Df (13,11) 0.8682 vs 0.7165 nA q = 2.857 df = 52 p = 0.1175
mEJC amplitude vglut-GAL4/+ vs vglut>Cow-RNAi Normal Unpaired two-tailed t test vglut-GAL4/+ (11,7); vglut>Cow-RNAi (11,7) 0.8015 vs 0.8446 nA t = 0.8011 df = 20 p = 0.4325
Frequency vglut/+ vs vglut>RNAi Not normal (Shapiro–Wilk normality test performed because N too small) Mann–Whitney test vglut/+ (7,4); vglut>RNAi (6,3) 1.617 vs 2.977 Hz/μm2 U = 7 p = 0.0513
Mean ΔF/F0 vglut/+ vs vglut>RNAi Normal (Shapiro–Wilk normality test performed because N too small) Unpaired two-tailed t test vglut/+ (8,4); vglut>RNAi (5,3) 0.7912 vs 1.058 ΔF/F0 t = 3.013 df = 11 p = 0.0118