Table 3.
Variable | Cortisol (ln(nmol/L)) | S-IgA (ln(mg/L)) | ||||
---|---|---|---|---|---|---|
Morning | Afternoon | p | Morning | Afternoon | p | |
Mean | 2.93 | 2.12 | <0.01 ** | 5.26 | 5.18 | 0.44 |
Median | 2.93 | 2.11 | <0.01 ** | 5.32 | 5.24 | 0.50 |
SD | 0.38 | 0.34 | 0.29 | 0.78 | 0.66 | 0.42 |
CV | 13.0% | 16.1% | 0.06 | 14.9% | 12.85% | 0.48 |
Skewness | −0.51 | 0.10 | <0.01 ** | −1.15 | −1.84 | 0.61 |
Kurtosis | 3.40 | 2.66 | <0.01 ** | 6.01 | 12.57 | 0.09 |
JB | 5.7 | 0.7 | 67.6 | 495.0 | ||
p = 0.06 | p = 0.70 | p < 0.01 ** | p < 0.01 ** |
S-IgA, secretory immunoglobulin A; SD, standard deviation; CV, coefficient of variation (SD/mean); skewness, parameter of symmetry; kurtosis, parameter of peak (positive) or flat (negative) distribution. Skewness and kurtosis of a normal distribution are 0 and 3, respectively; JB, Jarque–Bera value. A larger JB value implies that the samples are further from a normal distribution; * p < 0.05 and ** p < 0.01.