Table 2. Statistical significance testing.

All t-tests are two-sided unless otherwise stated. All tests from distinct samples unless otherwise stated. Effect size for two-sample t-test is Cohen’s d. Effect size for rank sum test is U/(n1 * n2), where n1 and n2 are sample sizes of the two categories.

Figure	Panel	Identifier	Sample size	Statistical test	Test stat.	CI	Effect size	DF	p-Value
8	b	Chd8 GH mutant vs. GH control	8 het8 wt	Two-sample t-test	2.31	0.216–5.85	1.155	14	0.0367
		Nlgn3 GH mutant vs. SH mutant	10 GH8 SH	Two-sample t-test	4.40	2.79–7.99	1.958	16	0.000449
	c	BTBR SH mutant vs. SH control	10 het 10 wt	Two-sample t-test	2.59	0.923–8.91	1.157	18	0.0186
	e	Close investigate	10 het 10 wt	Two-sample t-test	4.58	0.276–0.743	2.05	18	0.000230
		Face-directed	10 het 10 wt	Two-sample t-test	3.84	0.171–0.582	1.72	18	0.00120
		Genital-directed	10 het 10 wt	Two-sample t-test	5.01	0.233–0.568	2.24	18	0.0000903
ED 8	b	Attack	6 vs. self 15 vs. other	Wilcoxon rank sum	U = 79	x	0.878	x	0.00623
		Close investigation	6 vs. self 15 vs. other	Wilcoxon rank sum	U = 73	x	0.811	x	0.0292
	d	Attack	8 vs. self 28 vs. other	Wilcoxon rank sum	U = 204	x	0.911	x	0.000498
		Close investigation	8 vs. self 28 vs. other	Wilcoxon rank sum	U = 193	x	0.862	x	0.00219

GH: group-housed; SH: singly housed.