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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

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