Table 6.

Hypothesis 2 test—Among non-problem gamblers (n=129), those with skill-game experience will make more accurate probability assessments than those with only non-skill-game experience

Dependent Variable: Accuracy (trial level)	(1)	(2)	(3)
Variable	Coef (st. error)	Coef (st. error)	Coef (st. error)
Constant	.690 (.031)**	.692 (.033)**	.612 (.134)**
Skill Gambler (=1)	-.001 (.035)	-.001 (.035)	-.028 (.037)
Trial #	---	-.001 (.001)	-.001 (.001)
Response Time	---	.0005 (.0003)	.001 (.0003)
Age	---	---	-.002 (.002)
Female (=1)			-.033 (.030)
Gambling Frequency ∈ [0,4]	---	---	-.039 (.017)*
Prior Week Sleep Level	---	---	.023 (.012)
Karolinska sleepiness	---	---	.003 (.008)
CRT score ∈ [0,6]	---	---	.021 (.006)**
R-squared	.0000	.0016	.0593

*p < .05, **p < 01 for the 1-tailed test of a pre-registered one-sided hypothesis (otherwise, p-value is for the 2-tailed test). N=2580 observations Linear regression estimates with robust standard errors adjusted for clustering at the participant level (n=129 clusters). Skill-games were considered to be the following: blackjack, poker, sports betting. Non-skill-games were: slots, baccarat, craps, roulette