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This Excel files accompanies the article: Ng, S. H. K. (2003), "Studying the Effect of the Parameters of a on its Operation Characteristic Curve: A Visual Approach," Journ (http://www.amstat.org/publications/jse/v11n3/ng.html) Hyper_Pa Hyper_Pa N=1000, N=500, % def n=50,c=0 n=25, c=0 0 1 1 0.01 0.59731129 0.7729618 0.02 0.35487086 0.5958703 0.03 0.20968132 0.4580961 0.04 0.12320215 0.3511941 0.05 0.07197699 0.2684712 0.06 0.04180536 0.2046355 0.07 0.02413667 0.1555139 0.08 0.01385071 0.117824 0.09 0.00789872 0.0889907 0.1 0.00447579 0.0669994 0.11 0.00251969 0.0502784 0.12 0.00140904 0.0376048 0.13 0.00078258 0.0280299 0.14 0.00043161 0.02082 0.15 0.00023635 0.0154094 0.16 0.00012847 0.0113631 0.17 6.9311E-05 0.0083479 0.18 3.7106E-05 0.0061092 0.19 1.9709E-05 0.0044532 0.2 1.0383E-05 0.003233 0 0.02 0.04 0.06 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 OC curves for N=1000, n=50, c= Colu % def Pa

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HyperThis Excel files accompanies the article:Ng, S. H. K. (2003), "Studying the Effect of the Parameters of an Attribute Acceptance Sampling Planon its Operation Characteristic Curve: A Visual Approach," Journal of Statistics Education [Online], 11(3).(http://www.amstat.org/publications/jse/v11n3/ng.html)Hyper_PaHyper_PaN=1000,N=500,% defn=50,c=0n=25, c=00110.010.59731129290.77296181490.020.35487085550.59587028550.030.20968131810.45809606640.040.123202150.35119413530.050.07197699190.26847120.060.04180535950.20463549050.070.02413666830.15551388540.080.01385071320.11782395050.090.00789872210.08899066290.10.0044757910.06699941410.110.00251969110.05027840070.120.00140904010.03760476420.130.00078258180.02802987510.140.00043161410.02082001480.150.00023634580.01540940620.160.00012847250.01136312680.170.00006931130.00834790630.180.00003710630.00610919860.190.00001970860.00445323420.20.00001038350.0032330132
Hyper000.010.010.020.020.030.030.040.040.050.050.060.060.070.070.080.080.090.090.10.10.110.110.120.120.130.130.140.140.150.150.160.160.170.170.180.180.190.190.20.2
N=1000, n=50, c=0
N=500, n=25, c=0
% def
Pa
OC curves for N=1000, n=50, c=0 and N=500, n=25, c=0
1
1
0.5973112929
0.7729618149
0.3548708555
0.5958702855
0.2096813181
0.4580960664
0.12320215
0.3511941353
0.0719769919
0.2684712
0.0418053595
0.2046354905
0.0241366683
0.1555138854
0.0138507132
0.1178239505
0.0078987221
0.0889906629
0.004475791
0.0669994141
0.0025196911
0.0502784007
0.0014090401
0.0376047642
0.0007825818
0.0280298751
0.0004316141
0.0208200148
0.0002363458
0.0154094062
0.0001284725
0.0113631268
0.0000693113
0.0083479063
0.0000371063
0.0061091986
0.0000197086
0.0044532342
0.0000103835
0.0032330132
Hyper & BinNnc20002001% defHyper_PaBin_Pa0110.010.67707236790.40464568470.020.21992936330.08937548380.030.05057959060.01624829880.040.00961734150.00265633830.050.00161404920.00040402810.060.00024709740.00005812690.070.00003515810.0000079830.080.0000047030.00000105240.090.00000059590.00000013360.10.00000007190.00000001640.110.00000000830.00000000190.120.00000000090.00000000020.130.000000000100.14000.15000.16000.17000.187.04605830743844E-162.60040150385772E-160.195.87865982344884E-172.38485731001535E-170.24.71397841175596E-182.11625294012931E-18
Hyper & Bin
N=2000, n=65, c=2
n=65, c=2
% def
Pa
Effect of N and n on OC curve when c=2
Binnc8001% defBin_Pa010.010.00292603940.020.0000016580.030.00000000070.0400.056.50750532091417E-170.061.65508000184409E-200.073.74297631011995E-240.087.56575999490528E-280.091.3704385376756E-310.12.22696588257143E-350.113.24689478395354E-390.124.24511224704161E-430.134.97203423455226E-470.145.20957853606997E-510.154.8749290626852E-550.164.06630808122067E-590.173.0170126799841E-630.181.98653672266413E-670.191.15792881047578E-710.25.9591682992786E-76
Bin
% def
Pa
Effect of n and c on OC curve