Table 1.

Statistical analyses

LocationData structureStatistical test95% confidence Intervals
aPaired % time spent wall-hugging (late phase vs early phase), n = 4 micePaired one-tailed t test–35.91 to –18.15
bPaired % success (late phase vs early phase), n = 4 micePaired one-tailed t test–1.79 to –21.51
cPaired % success (no honeycomb condition vs late phase), n = 4 micePaired two-tailed t test–10.64 to 6.81
d% success for honeycomb and no honeycomb conditions per odor portTwo-way ANOVA on % success (factors: port #, plume complexity)Bonferroni correction:
–3.8 to 56.2
e% success for honeycomb and no honeycomb conditions per odor portTwo-way ANOVA on % success (factors: port #, plume complexity)Bonferroni correction:
–1.65 to 58.35
f% success for honeycomb and no honeycomb conditions per odor portTwo-way ANOVA on % success (factors: port #, plume complexity)Bonferroni correction:
–27.85 to 32.15
gPaired % success (no odor vs late phase), n = 4 micePaired one-tailed t test–51.18 to –11.46
hPaired % success (no odor vs no honeycomb condition), n = 4 micePaired one-tailed t test–46.02 to –12.78
iPaired distance to odor source on successful trials (late phase vs early phase)Paired two-tailed t test–114.2 to –7.34
jPaired time to odor source on successful trials (late phase vs early phase)Paired two-tailed t test–6.92 to –2.28
kPaired distance to odor source on successful trials (no honeycomb vs late phase)Paired two-tailed t test–25.94 to 18.91
lPaired time to odor source on successful trials (no honeycomb vs late phase)Paired two-tailed t test–25.94 to 18.91
mPaired average velocity during trial (no honeycomb vs late phase)Paired two-tailed t test0.49 to 15.59
nPaired average angle sum during trial (no honeycomb vs late phase)Paired two-tailed t test–69.8 to 15.41
oPaired average Δ nose angle (no honeycomb vs late phase)Paired two-tailed t test0.008 to 0.12
pAverage nose/body distance ratio (late phase)One-sample two-tailed t test1.13 to 1.15
qAverage nose/ body distance ratio (no honeycomb)One-sample two-tailed t test1.14 to 1.26
r% success for static and dynamic across Code A and Code B, sensor distance 8 and 16 cmThree-way ANOVA on % success (factors: plume complexity code, and sensor separation distance)Bonferroni correction:
5.18 to 11.56
s% success for static and dynamic across Code A and Code B, sensor distance 8 and 16 cmThree-way ANOVA on % success (factors: plume complexity code, and sensor separation distance)Bonferroni correction:
1.47 to 6.36
tLinearity for static and dynamic across Code A and Code B, sensor distance 8 and 16 cmThree-way ANOVA on linearity (factors: plume complexity code, and sensor separation distance)Bonferroni correction:
0.044 to 0.086
uLinearity for static and dynamic across Code A and Code B, sensor distance 8 and 16 cmThree-way ANOVA on linearity (factors: plume complexity code, and sensor separation distance)Bonferroni correction:
0.013 to 0.033
v% success for static and dynamic across Code A and Code B, sensor distance 8 and 16 cmThree-way ANOVA on % success (factors: plume complexity code, and sensor separation distance)Bonferroni correction:
16.92 to 23.3
w% success for static and dynamic across Code A and Code B, sensor distance 8 and 16 cmThree-way ANOVA on % success (factors: plume complexity code, and sensor separation distance)Bonferroni correction:
0.51 to 6.88
x% success for static and dynamic across Code A and Code B, sensor distance 8 and 16 cmThree-way ANOVA on % success (factors: plume complexity code, and sensor separation distance)Bonferroni correction:
3.1 to 7.99
yLinearity for static and dynamic across Code A and Code B, sensor distance 8 and 16 cmThree-way ANOVA on linearity (factors: plume complexity code, and sensor separation distance)Bonferroni correction:
0.13 to 0.17
zLinearity for static and dynamic across Code A and Code B, sensor distance 8 and 16 cmThree-way ANOVA on linearity (factors: plume complexity code, and sensor separation distance)Bonferroni correction:
0.01 to 0.05
aaLinearity for static and dynamic across Code A and Code B, sensor distance 8 and 16 cmThree-way ANOVA on linearity (factors: plume complexity code, and sensor separation distance)Bonferroni correction:
0.03 to 0.05
bb% success for static and dynamic across Code A and Code B, sensor distance 8 and 16 cmThree-way ANOVA on % success (factors: plume complexity code, and sensor separation distance)Bonferroni correction:
–16.23 to –9.86
cc% success for static and dynamic across Code A and Code B, sensor distance 8 and 16 cmThree-way ANOVA on % success (factors: plume complexity code, and sensor separation distance)Bonferroni correction:
–4.49 to 1.88
dd% success for low complexity and high complexity across modalities (mouse, model Code A, model Code B, and robot Code B)Two-way ANOVA on % success (factors: plume complexity and modality)Bonferroni correction:
–46.6 to –10.68
ee% success for low complexity and high complexity across modalities (mouse, model Code A, model Code B, and robot Code B)Two-way ANOVA on % success (factors: plume complexity and modality)Bonferroni correction:
–46.07 to –10.15
ff% success for low complexity and high complexity across modalities (mouse, model Code A, model Code B, and robot Code B)Two-way ANOVA on % success (factors: plume complexity and modality)Bonferroni correction:
–42.8 to –6.87
gg% success for low complexity and high complexity across modalities (mouse, model Code A, model Code B, and robot Code B)Two-way ANOVA on % success (factors: plume complexity and modality)Bonferroni correction:
–37.19 to –1.24
hhTime to target for low complexity and high complexity across modalities (mouse, model Code A, model Code B, and robot Code B)Two-way ANOVA on time to target (factors: plume complexity and modality)Bonferroni correction:
–44.17 to –23.34
iiTime to target for low complexity and high complexity across modalities (mouse, model Code A, model Code B, and robot Code B)Two-way ANOVA on time to target (factors: plume complexity and modality)Bonferroni correction:
–47.01 to –26.18
jjTime to target for low complexity and high complexity across modalities (mouse, model Code A, model Code B, and robot Code B)Two-way ANOVA on time to target (factors: plume complexity and modality)Bonferroni correction:
–45.67 to –24.84
kkTime to target for low complexity and high complexity across modalities (mouse, model Code A, model Code B, and robot Code B)Two-way ANOVA on time to target (factors: plume complexity and modality)Bonferroni correction:
–49.43 to –28.18
llPaired % success (no honeycomb condition vs honeycomb Code A), n = 4 sessionsPaired two-tailed t test–97.78 to –27.22
mmPaired % success (no honeycomb condition vs honeycomb Code B), n = 4 sessionsPaired two-tailed t test–27.38 to –11.91
nnPaired % success (no honeycomb condition vs honeycomb Code B), n = 4 sessionsPaired two-tailed t test–67.52 to –27.48
oo% success for honeycomb condition per start angleOne-way ANOVA (factor: start angle)Bonferroni correction:
24.45 to 125.5
pp% success for honeycomb condition per start angleOne-way ANOVA (factor: start angle)Bonferroni correction:
–6.11 to 116.1
qq% success for honeycomb condition per start angleOne-way ANOVA (factor: start angle)Bonferroni correction:
11.79 to 133.2
rr% success for honeycomb condition per start angleOne-way ANOVA (factor: start angle)Bonferroni correction:
–19.37 to 114.4
ssLinearity for honeycomb and no honeycomb using Code B across start angleTwo-way ANOVA (factors: plume complexity start angle)Bonferroni correction:
0.051 to 0.29
ttLinearity for honeycomb and no honeycomb using Code B across start angleTwo-way ANOVA (factors: plume complexity start angle)Bonferroni correction:
0.047 to 0.32
uuLinearity score for low complexity and high complexity across modalities (mouse, model Code A, model Code B, and robot Code B)Two-way ANOVA on linearity score (factors: plume complexity and modality)Bonferroni correction:
0.014 to 0.42
vvLinearity score for low complexity and high complexity across modalities (mouse, model Code A, model Code B, and robot Code B)Two-way ANOVA on linearity score (factors: plume complexity and modality)Bonferroni correction:
0.046 to 0.45
ww% success for low complexity and high complexity across modalities (mouse, model Code A, model Code B, and robot Code B)Two-way ANOVA on % success (factors: plume complexity and modality)Bonferroni correction:
–36.2 to 14.06
xx% success for low complexity and high complexity across modalities (mouse, model Code A, model Code B, and robot Code B)Two-way ANOVA on % success (factors: plume complexity and modality)Bonferroni correction:
–48.87 to 1.39
yyTime to target for low complexity and high complexity across modalities (mouse, model Code A, model Code B, and robot Code B)Two-way ANOVA on time to target (factors: plume complexity and modality)Bonferroni correction:
–46.91 to –26.07
zzTime to target for low complexity and high complexity across modalities (mouse, model Code A, model Code B, and robot Code B)Two-way ANOVA on time to target (factors: plume complexity and modality)Bonferroni correction:
–51.97 to –31.13
aaaVelocity for low complexity and high complexity across modalities (mouse, model Code A, model Code B, and robot Code B)Two-way ANOVA on time to target (factors: plume complexity and modality)Bonferroni correction:
16.77 to 25.09
bbbVelocity for low complexity and high complexity across modalities (mouse, model Code A, model Code B, and robot Code B)Two-way ANOVA on time to target (factors: plume complexity and modality)Bonferroni correction:
24.9 to 33.22