Table 2. Hypothesis Description .

Set of Hypotheses	Independent Variables (No. of Levels)	Hypothesis Statements	ANOVA Design
Set 1	Gender (2), age (3), mode of arrival (2)	H11: gender has a non-significant main effect on modelling ED-LOS with the independent variables of set 1.	2*3*2
		H12: age has a non-significant main effect on modelling ED-LOS with the independent variables of set 1.
		H13: mode of arrival has a non-significant main effect on modelling ED-LOS with the independent variables of set 1.
		H14: gender and age have a non-significant interaction effect on modelling ED-LOS with the independent variables of set 1.
		H15: gender and mode of arrival have a non-significant interaction effect on modelling ED-LOS with the independent variables of set 1.
		H16: age and mode of arrival have a non-significant interaction effect on modelling ED-LOS with the independent variables of set 1.
		H17: gender, age and mode of arrival have a non-significant interaction effect on modelling ED-LOS with the independent variables of set 1.
Set 2	Gender (2), age (3), clinical acuity (2)	H21: gender has a non-significant main effect on modelling ED-LOS with the independent variables of set 2.	2*3*2
		H22: age has a non-significant main effect on modelling ED-LOS with the independent variables of set 2.
		H23: clinical acuity has a non-significant main effect on modelling ED-LOS with the independent variables of set 2.
		H24: gender and age have a non-significant interaction effect on modelling ED-LOS with the independent variables of set 2.
		H25: gender and clinical acuity have a non-significant interaction effect on modelling ED-LOS with the independent variables of set 2.
		H26: age and clinical acuity have a non-significant interaction effect on modelling ED-LOS with the independent variables of set 2.
		H27: gender, age and clinical acuity have a non-significant interaction effect on modelling ED-LOS with the independent variables of set 2.
Set 3	Gender (2), clinical acuity (2), mode of arrival (2)	H31: gender has a non-significant main effect on modelling ED-LOS with the independent variables of set 3.	2*2*2
		H32: clinical acuity has a non-significant main effect on modelling ED-LOS with the independent variables of set 3.
		H33: mode of arrival has a non-significant main effect on modelling ED-LOS with the independent variables of set 3.
		H34: gender and clinical acuity have a non-significant interaction effect on modelling ED-LOS with the independent variables of set 3.
		H35: gender and mode of arrival have a non-significant interaction effect on modelling ED-LOS with the independent variables of set 3.
		H36: clinical acuity andmode of arrival have a non-significant interaction effect on modelling ED-LOS with the independent variables of set 3.
		H37: gender, clinical acuity andmode of arrival have a non-significant interaction effect on modelling ED-LOS with the independent variables of set 3.
Set 4	Age (3), clinical acuity (2), mode of arrival (2)	H41: age has a non-significant main effect on modelling ED-LOS with the independent variables of set 4.	3*2*2
		H42: clinical acuity has a non-significant main effect on modelling ED-LOS with the independent variables of set 4.
		H43: mode of arrival has a non-significant main effect on modelling ED-LOS with the independent variables of set 4.
		H44: age and clinical acuity have a non-significant interaction effect on modelling ED-LOS with the independent variables of set 4.
		H45: age and mode of arrival have a non-significant interaction effect on modelling ED-LOS with the independent variables of set 4.
		H46: clinical acuity and mode of arrival have a non-significant interaction effect on modelling ED-LOS with the independent variables of set 4.
		H47: age, clinical acuity and mode of arrival have a non-significant interaction effect on modelling ED-LOS with the independent variables of set 4.

Abbreviations: ED-LOS, length of stay in emergency department; ANOVA, analysis of variance.