a | 1C | NTG vs hAPP | Normal distribution (D’Agostino & Pearson normality test chosen due to multiple duplicate values) | Unpaired two-tailed t test | t = 0.04476 df = 29 | p = 0.9646; CI: −0.8191 to 0.7841 |
b | 1D | NTG vs hAPP | Normal distribution (D’Agostino & Pearson Normality Test chosen due to multiple duplicate values) | Unpaired two-tailed t test | t = 0.3928 df = 27 | p = 0.6975; CI: −0.9669 to 1.425 |
c | 1E | NTG vs hAPP | Normal distribution | Unpaired two-tailed t test | t = 3.093 df = 28 | p = 0.0045; CI: −15.53 to -3.156 |
d | 1F | NTG vs hAPP | Normal distribution | Unpaired two-tailed t test | t = 0.1181 df = 31 | p = 0.9067; CI: −2.015 to 1.794 |
e1 | 2B | Ovarian status by hour interaction | Normal distribution | Mixed-model ANOVA | F(22,88) = 2.05 | p = 0.0097 |
e2 | 2B | Ovarian status effect | Normal distribution | Mixed Model ANOVA | F(2,110) = 20.89 | p < 0.0001 |
e3 | 2B | Metestrus/Diestrus vs Proestrus | Normal distribution | Bonferroni–Holm Corrected | | p < 0.0001; CI: −18.615 to -9.899 |
e4 | 2B | Proestrus vs Gnx | Normal distribution | Bonferroni–Holm Corrected | | p = 0.0156; CI: 4.538 to 32.026 |
e5 | 2B | Metestrus/Diestrus vs Gnx | Normal distribution | Bonferroni–Holm Corrected | | p = 0.5581; CI: −9.719 to 17.769 |
f1 | 2C | Proestrus after vs before | Normal distribution | Paired one-tailed t test | t = 3.851 df = 2 | p = 0.0307; CI: 8.136 to ∞ |
f2 | 2C | Before E2 surge | Normal distribution | One-way ANOVA | F(2,8) = 0.2880 | p = 0.7572 |
f3 | 2C | After E2 surge | Normal distribution | One-way ANOVA | F(2,8) = 8.534 | p = 0.0104 |
f4 | 2C | After surge: metestrus/diestrus vs proestrus | Normal distribution | Bonferroni–Holm Corrected | t = 3.129 df = 8 | p = 0.0421; CI: −66.77 to -1.234 |
f5 | 2C | After surge: proestrus vs Gnx | Normal distribution | Bonferroni–Holm Corrected | t = 3.986 df = 8 | p = 0.0121; CI: 9.427 to 68.04 |
f6 | 2C | After surge: metestrus/diestrus vs Gnx | Normal distribution | Bonferroni–Holm Corrected | t = 0.4871 df = 8 | p > 0.9999; CI: −24.57 to 34.04 |
g1 | 3A | Ovarian status by genotype interaction | Normal distribution | Two-way ANOVA | F(2,34) = 1.365 | p = 0.2690 |
g2 | 3A | Ovarian status effect | Normal distribution | Two-way ANOVA | F(2,34) = 1.776 | p = 0.1846 |
g3 | 3A | Genotype effect | Normal distribution | Two-way ANOVA | F(1,34) = 0.01396 | p = 0.9066 |
g4 | 3A,B | Training vs testing latency | Normal distribution | Linear regression | F(1,35) =1.559 | p = 0.2202; p = 0.1049-0.7498 for each experimental group |
h1 | 3B | Ovarian status by genotype interaction | Normal distribution | Two-way ANOVA | F(2,31) = 4.88 | p = 0.0144 |
h2 | 3B | Ovarian status effect | Normal distribution | Two-way ANOVA | F(2,31) = 0.497 | p = 0.631 |
h3 | 3B | Genotype effect | Normal distribution | Two-way ANOVA | F(1,31) = 2.323 | p = 0.1376 |
h4 | 3B | hAPP-High E/P vs hAPP-Low E/P | Normal distribution | Bonferroni–Holm Corrected | t = 3.126 df = 6 | p = 0.041; CI: −186.5 to −22.73 |
h5 | 3B | hAPP-High E/P vs NTG-High E/P | Normal distribution | Bonferroni–Holm Corrected | t = 3.969 df = 6 | p = 0.022; CI: −211.1 to −50.07 |
h6 | 3B | hAPP-Low E/P vs NTG-Low E/P | Normal distribution | Bonferroni–Holm Corrected | t = 1.149 df = 10 | p = 0.275; CI: −34.47 to 107.8 |
h7 | 3B | Gnx hAPP vs Gnx NTG, Reference for Cycling Mice | Normal distribution | Unpaired two-tailed t test | t = 0.04699 df = 15 | p = 0.9631; CI: −71.92 to 68.82 |
i1 | 3C | hAPP: % Time in High E/P & Latency | Normal distribution | Linear regression | R
2 = 0.7144 | p = 0.0041; CI (slope): −5.078 to −1.411 |
i2 | 3C | NTG: % Time in High E/P & Latency | Normal distribution | Linear regression | R
2 = 1.334e-005 | p = 0.9910; CI (slope): −3.702 to 3.664 |
j1 | 4A | NTG-High E/P: Novel vs Familiar | Normal distribution | Paired one-tailed t test | t = 3.367 df = 9 | p = 0.0042; CI: 0.5634 to ∞ |
j2 | 4A | NTG-Low E/P: Novel vs Familiar | Normal distribution | Paired one-tailed t test | t = 7.912 df = 3 | p = 0.0021; CI: 1.212 to ∞ |
j3 | 4A | hAPP-High E/P: Novel vs Familiar | Normal distribution | Paired one-tailed t test | t = 0.9654 df = 11 | p = 0.1775; CI: −0.3776 to ∞ |
j4 | 4A | hAPP-Low E/P: Novel vs Familiar | Familiar: normal distribution; Novel : not-normal (p = 0.0167) | Paired one-tailed t test | t = 2.066 df = 6 | p = 0.0422; CI: 0.05542 to ∞ |
j5 | 4B | hAPP-High E/P vs theoretical mean (31.33) | Normal distribution | Two-tailed one sample t test | t = 2.525 df = 11 | p = 0.0282; CI: −6.665 to -0.4568 |
j6 | 4-1 | Ovarian status effect | Normal distribution | Two-way ANOVA | F(1,35) = 0.5209 | p = 0.4752 |
j7 | 4-1 | Genotype effect | Normal distribution | Two-way ANOVA | F(1,35) = 1.448 | p = 0.2370 |
j8 | 4-1 | Ovarian status by genotype interaction | Normal distribution | Two-way ANOVA | F(1,35) = 0.17 | p = 0.6826 |
k1 | 5 | Ovarian status by genotype interaction | Normal distribution except hAPP Met/Di (p = 0.0382) | Two-way ANOVA | F(2,41) = 0.9277 | p = 0.4036 |
k2 | 5 | Ovarian status effect | Normal distribution except hAPP Met/Di (p = 0.0382) | Two-way ANOVA | F(2,41) = 3.501 | p = 0.0395 |
k3 | 5 | Genotype effect | Normal distribution except hAPP Met/Di (p = 0.0382) | Two-way ANOVA | F(1,41) = 36.95 | p < 0.0001 |
k4 | 5 | hAPP-High E/P vs hAPP-Low E/P | Normal distribution except hAPP Met/Di (p = 0.0382) | Unpaired two-tailed t test | t = 2.559 df = 8 | p = 0.0337; CI: −1211 to −62.90 |
l | 6B | hAPP Met/Di vs Proestrus | Normal distribution | Unpaired two-tailed t test | t = 4.319 df = 10 | p = 0.0015; CI: −0.8811 to −0.2814 |
m | 6D | hAPP Met/Di vs Proestrus | Normal distribution | Unpaired two-tailed t test | t = 1.107 df = 11 | p = 0.2921; CI: −0.1201 to 0.3628 |
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n | 6F | hAPP Met/Di vs Proestrus | Normal distribution | Unpaired two-tailed t test | t = 1.798 df = 10 | p = 0.1024; CI: −0.4675 to 0.04995 |
o | 6G | hAPP Met/Di vs Proestrus | Normal distribution | Unpaired two-tailed t test | t = 0.4533 df = 11 | p = 0.6591; CI: −0.3629 to 0.2389 |
p | 6H | hAPP Met/Di vs Proestrus | Normal distribution | Unpaired two-tailed t test | t = 0.149 df = 11 | p = 0.8842; CI: −0.5582 to 0.4874 |
q | 7A | Genotype by Treatment Interaction | Normal distribution (D’Agostino & Pearson normality test chosen due to multiple duplicate values) | Linear mixed-model | | p = 0.017; CI: −829.9 to -80.8 |
r1 | 7B | Genotype by treatment interaction | Normal distribution for NTG and hAPP Veh; N too small to determine if Gaussian for NTG and hAPP E2 (D’Agostino & Pearson normality test chosen due to multiple duplicate values) | Two-way ANOVA | F(1,26) = 5.157 | p = 0.0317 |
r2 | 7B | Genotype effect | Normal distribution for NTG and hAPP Veh; N too small to determine if Gaussian for NTG and hAPP E2 (D'Agostino & Pearson normality test chosen due to multiple duplicate values) | Two-way ANOVA | F(1,26) = 7.982 | p = 0.009 |
r3 | 7B | Treatment effect | Normal distribution for NTG and hAPP Veh; N too small to determine if Gaussian for NTG and hAPP E2 (D’Agostino & Pearson normality test chosen due to multiple duplicate values) | Two-way ANOVA | F(1,26) = 0.7303 | p = 0.4006 |
r4 | 7B | Gnx-E2: NTG vs hAPP | Normal distribution for NTG and hAPP Veh; N too small to determine if Gaussian for NTG and hAPP E2 (D’Agostino & Pearson normality test chosen due to multiple duplicate values) | Bonferroni–Holm Corrected | t = 3.701 df = 12 | p = 0.006; CI: 301.7 to 1165 |
r5 | 7B | Gnx-Veh: NTG vs hAPP | Normal distribution for NTG and hAPP Veh; N too small to determine if Gaussian for NTG and hAPP E2 (D’Agostino & Pearson normality test chosen due to multiple duplicate values) | Bonferroni–Holm Corrected | t = 0.3877 df = 14 | p = 0.7041; CI: −521.3 to 361.7 |
s1 | 7C | Gnx-E2: NTG vs hAPP | Categorical data | χ2 Test | Pearson χ2(1,n = 14) = 7.7778 | p = 0.005 |
s2 | 7C | Gnx-Veh: NTG vs hAPP | Categorical data | χ2 Test | Pearson χ2(1,n = 16) = 0.2909 | p = 0.590 |
t | 7D | Gnx-hAPP: Veh vs E2 | Normal distribution | Unpaired two-tailed t test | t = 2.239 df = 19 | p = 0.0373; CI: −0.6 to −0.02019 |