at least 10 and preferably at MS long term COYD least 20 df3) TGP/8 MG discrete (VS) 1) interval continuous 2x1% method df<10 TGP/8 discrete at least 10 and preferably at least 20 df ordinal discrete VS Pearson’s Chi-Square Eij≥5 4) TGP/8 test VS Fisher’s Exact test Eij<10 TGP/8 VS GLM models Threshold models VG See also explanation TGP/9 for QN characteristics in TGP/9 sections 5.2.2 and 5.2.3 See explanation for QN characteristics in TGP/9 section 5.2.4 nominal discrete (VS) 2) Pearson’s Chi-Square Eij≥5 TGP/8 test VS Fisher’s Exact test Eij<10 TGP/8 VS GLM models Eij≥5 VG See explanation TGP/9 for QL and PQ characteristics in TGP/9 sections 5.2.2 and 5.2.3 see remark in section 2.3.3.8.2 [cross ref.] “1) normally VG but VS trial be possible “2) df degree of freedom “3) – Eij expected of a class “4) – Table 4: Statistical procedures for the assessment of uniformity Observation Type of Distribu- Reference Further Procedure scale tion method document Conditions ratio continuous discrete
MS MG (VS) 1) long term COYD 2x1% method at least 10 and preferably at least 20 df3) df<10 at least 10 and preferably at least 20 df TGP/8 TGP/8 discrete interval continuous discrete ordinal discrete VS VS VS VG Pearson’s Chi-Square test Fisher’s Exact test GLM models Threshold models See also explanation for QN characteristics in TGP/9 sections 5.2.2 and 5.2.3 See explanation for QN characteristics in TGP/9 section 5.2.4 Eij≥5 4) Eij<10 TGP/8 TGP/8 TGP/9 nominal discrete (VS) 2) VS VS VG Pearson’s Chi-Square test Fisher’s Exact test GLM models See explanation for QL and PQ characteristics in TGP/9 sections 5.2.2 and 5.2.3 Eij≥5 Eij<10 Eij≥5 TGP/8 TGP/8 TGP/9 “1) see remark in section 2.3.3.8.2 [cross ref.] “2) normally VG but VS be possible “3) df – degree of freedom “4) Eij – expected of a class Table 4: Statistical procedures for the assessment of uniformity Type of scale Distribu- tion Observation method Procedure Further Conditions Reference document ratio continuous discrete trial
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