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. 2020 Jul 28;9:e50936. doi: 10.7554/eLife.50936

Table 2. Tests of normality results.

Tests of normality
NK cell values Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
1 CD56dim CD16+ 0.15 71.00 0.00 0.85 71.00 0.00
2 CD56dim CD16high 0.11 71.00 0.03 0.89 71.00 0.00
3 CD56dim CD16low 0.17 71.00 0.00 0.79 71.00 0.00
4 CD56dim CD16- 0.19 71.00 0.00 0.82 71.00 0.00
5 CD56dim CD56dimtotal% 0.15 71.00 0.00 0.91 71.00 0.00
6 CD56bright CD16+ 0.13 71.00 0.00 0.88 71.00 0.00
7 CD56bright CD16high 0.15 71.00 0.00 0.87 71.00 0.00
8 CD56bright CD16low 0.14 71.00 0.00 0.85 71.00 0.00
9 CD56bright CD16- 0.16 71.00 0.00 0.86 71.00 0.00
10 CD56bright CD56brighttotal 0.15 71.00 0.00 0.91 71.00 0.00
11 CD8 CD56+CD8+ 0.10 71.00 0.06 0.98 71.00 0.17
12 CD8 CD56+CD8- 0.10 71.00 0.06 0.98 71.00 0.17
13 CD8 CD56dimCD8+ 0.09 71.00 0.20* 0.98 71.00 0.24
14 CD8 CD56brightCD8+ 0.19 71.00 0.00 0.82 71.00 0.00
15 NKp30 CD56+NKp30+ 0.21 71.00 0.00 0.81 71.00 0.00
16 NKp30 CD56+NKp30- 0.21 71.00 0.00 0.81 71.00 0.00
17 NKp46 CD56+NKp46+ 0.08 71.00 0.20* 0.98 71.00 0.52
18 NKp46 CD56+NKp46- 0.07 71.00 0.20* 0.99 71.00 0.57
19 DNAM-1 CD56+DNAM-1+ 0.23 71.00 0.00 0.56 71.00 0.00
20 DNAM-1 CD56+DNAM-1- 0.23 71.00 0.00 0.55 71.00 0.00
21 NKG2D CD56+NKG2D+ 0.19 71.00 0.00 0.84 71.00 0.00
22 NKG2D CD56+NKG2D- 0.18 71.00 0.00 0.85 71.00 0.00
23 NKp44 CD56+NKp44+ 0.18 71.00 0.00 0.76 71.00 0.00
24 NKp44 CD56+NKp44- 0.17 71.00 0.00 0.78 71.00 0.00
25 CD85j CD56+CD85j+ 0.11 71.00 0.05 0.96 71.00 0.02
26 CD85j CD56+CD85j- 0.10 71.00 0.07 0.96 71.00 0.02
27 LAIR-1 CD56+LAIR-1+ 0.43 71.00 0.00 0.14 71.00 0.00
28 LAIR-1 CD56+LAIR-1- 0.43 71.00 0.00 0.14 71.00 0.00
29 NKG2A CD56+NKG2A+ 0.09 71.00 0.20* 0.97 71.00 0.11
30 NKG2A CD56+NKG2A- 0.08 71.00 0.20* 0.97 71.00 0.10
31 2B4 CD56+2B4+ 0.23 71.00 0.00 0.75 71.00 0.00
32 2B4 CD56+2B4- 0.23 71.00 0.00 0.75 71.00 0.00

*. This is a lower bound of the true significance.

Those values in bold are of those features whose data is normally distributed.

If the p>0.05, we can accept the null hypothesis, that there is no statistically significant difference between the data and the normal distribution, hence we can presume that the data of those features are normally distributed.

If the p<0.05, we can reject the null hypothesis because there is a statistically significant difference between the data and the normal distribution, hence we can presume that the data of those features are not normally distributed.