sampling 2

7
N= 2000 n= 100 c= 2 0.000 1.00000 0.00000 0 0 100 0.005 0.98590 0.00493 -0.00493 0.5 98.589708346 0.010 0.92063 0.00921 -0.00428 1 92.062679775 0.015 0.80981 0.01215 -0.00294 1.5 80.980506523 0.020 0.67669 0.01353 -0.00139 2 67.668562235 0.025 0.54219 0.01355 -0.00002 2.5 54.219185612 0.030 0.41978 0.01259 0.00096 3 41.977508298 0.035 0.31591 0.01106 0.00154 3.5 31.590689464 0.040 0.23214 0.00929 0.00177 4 23.214262368 0.045 0.16716 0.00752 0.00176 4.5 16.715666488 0.050 0.11826 0.00591 0.00161 5 11.826298119 0.055 0.08239 0.00453 0.00138 5.5 8.2387960078 0.060 0.05661 0.00340 0.00113 6 5.6612776668 0.065 0.03842 0.00250 0.00090 6.5 3.8424154158 0.070 0.02579 0.00181 0.00069 7 2.5788541282 0.075 0.01713 0.00128 0.00052 7.5 1.7131264566 0.080 0.01127 0.00090 0.00038 8 1.1272803069 (d ) and (e ) Perhitungan Kualitas pada barang yang diterima Lot fraction defectiv e (p) Probabilty of acceptance (Pa=OC(p)) Average Outgoing Quality (AOQ(p)) Difference s 0.005 0.010 0.015 0.020 0.025 0.030 Average Outgoing Quality for Average Outgoing Quality

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OC-curve and AOQN=2000n=100n=500n=600BINOMDIST(number_s,trials,probability_s,cumulative)c=2c=20c=20Calculation of the Operating Characteristic CurveLot fraction defective (p)Probabilty of acceptance (Pa=OC(p))Average Outgoing Quality (AOQ(p))DifferencesLot fraction defective (p)Probabilty of acceptance (Pa=OC(p))Average Outgoing Quality (AOQ(p))DifferencesLot fraction defective (p)Probabilty of acceptance (Pa=OC(p))Average Outgoing Quality (AOQ(p))Differences0.0001.000000.00000001000.0001.000000.000000000.0001.000000.000000000.0050.985900.00493-0.004930.598.58970834640.0051.000000.0050000-0.005000.0051.000000.0050000-0.005000.0100.920630.00921-0.00428192.062679774810.0101.000000.0100000-0.005000.0101.000000.0100000-0.005000.0150.809810.01215-0.002941.580.98050652310.0150.999970.0149995-0.005000.0150.999610.0149941-0.004990.0200.676690.01353-0.00139267.66856223520.0200.998590.0199718-0.004970.0200.989170.0197834-0.004790.0250.542190.01355-0.000022.554.21918561190.0250.983930.0245982-0.004630.0250.919670.0229917-0.00321max value0.0300.419780.012590.00096341.97750829820.0300.920200.0276061-0.003010.0300.733170.02199520.001000.0350.315910.011060.001543.531.59068946390.0350.772800.02704800.00056max value0.0350.469430.01642990.005570.0400.232140.009290.00177423.2142623678max value0.0400.559100.02236420.004680.0400.237540.00950160.006930.0450.167160.007520.001764.516.71566648854.50.0450.342990.01543460.006930.0450.096250.00433130.005170.0500.118260.005910.00161511.82629811850.0500.178850.00894250.006490.0500.031950.00159770.002730.0550.082390.004530.001385.58.23879600780.0550.080150.00440830.004530.0550.008900.00048950.001110.0600.056610.003400.0011365.66127766680.0600.031290.00187770.002530.0600.002120.00012740.000360.0650.038420.002500.000906.53.84241541580.0650.010790.00070140.001180.0650.000440.00002880.000100.0700.025790.001810.0006972.57885412820.0700.003330.00023290.000470.0700.000080.00000570.000020.0750.017130.001280.000527.51.71312645660.0750.000930.00006950.000160.0750.000010.00000100.000000.0800.011270.000900.0003881.127280306980.0800.000240.00001890.000050.0800.000000.00000020.00000(d ) and (e )Perhitungan Kualitas pada barang yang diterimaThe maximal value of the AOQ curve represents the worst possible quality that results from the rectifying inspection program.Dari tabel diatas dapat disimpulkanJumlah DataAOQLPnc20000.00928570.0401002020000.02704800.0355002020000.02299170.02560020

OC-curve and AOQ

n = 400n = 500n = 600Lot fraction defectiveProbability of acceptanceOC-curve for values N=200, c=20

n = 400n = 500n = 600Lot percent defective = Incoming QualityAverage Outgoing QualityAverage Outgoing Quality for sampling plan

MBD00202EC2.unknown

MBD0020C1BC.unknown