Table. 2. Table 2

Comparison of two IQC data groups from separate QC material lots, using t- and F-tests

QC level	Statistical analysis	Alb	ALP	ALT	AST	HDL	LDL	T-chol	Cr	Glu	Ptn	K	Na	TG	BUN
1	t-test	Y	Y	Y	Y	Y	Y	Y	N	Y	Y	Y	Y	Y	Y
	P ( < 0.05)	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.086	0.000	0.000	0.000	0.000	0.000	0.000
	F-test	Y	Y	Y	N	Y	N	Y	N	Y	N	Y	Y	Y	N
	P ( < 0.05)	0.015	0.000	0.000	0.114	0.009	0.693	0.000	0.709	0.000	0.795	0.000	0.000	0.014	0.705
2	t-test	Y	Y	Y	Y	Y	Y	Y	Y	Y	Y	Y	Y	Y	Y
	P ( < 0.05)	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
	F-test	N	Y	Y	N	Y	Y	Y	N	Y	Y	Y	Y	Y	Y
	P ( < 0.05)	0.228	0.000	0.000	0.769	0.000	0.006	0.000	0.092	0.000	0.001	0.003	0.000	0.033	0.014

*t-test: Y (P<0.05), a significant difference exists between the mean values of two groups; N (P≥0.05), no significant difference exists between the mean values of two groups.

*F-test: Y (P<0.05), a significant difference exists between the variance (SD) values of two groups.; N (P≥0.05), no significant difference exists between the variance (SD) of two groups.

Abbreviations: MU, measurement uncertainty; IQC, internal quality control; Alb, albumin; ALP, alkaline phosphatase; T-chol, total cholesterol; Cr, creatinine; Glu, glucose; Ptn, protein; K, potassium; Na, sodium; TG, triglyceride; BUN, blood urea nitrogen.

Ann Lab Med 2022;42:630~637 https://doi.org/10.3343/alm.2022.42.6.630