Control Chart Constants

Chart for AveragesChart for Standard Deviations
Observations in
Sample,?n
Factors for Control LimitsFactors for Central LineFactors for Control Limits
AA2A3c41 / c4B3B4B5B6
22.1211.8802.6590.79791.253303.26702.606
31.7321.0231.9540.88621.128402.56802.276
41.5000.7291.6280.92131.085402.26602.088
51.3420.5771.4270.94001.063802.08901.964
61.2250.4831.2870.95151.05100.0301.9700.0291.874
71.1340.4191.1820.95941.04230.1181.8820.1131.806
81.0610.3731.0990.96501.03630.1851.8150.1791.751
91.0000.3371.0320.96931.03170.2391.7610.2321.707
100.9490.3080.9750.97271.02810.2841.7160.2761.669
110.9050.2850.9270.97541.02520.3211.6790.3131.637
120.8660.2660.8860.97761.02290.3541.6460.3461.610
130.8320.2490.8500.97941.02100.3821.6180.3741.585
140.8020.2350.8170.98101.01940.4061.5940.3991.563
150.7750.2230.7890.98231.01800.4281.5720.4211.544
160.7500.2120.7630.98351.01680.4481.5520.4401.526
170.7280.2030.7390.98451.01570.4661.5340.4581.511
180.7070.1940.7180.98541.01480.4821.5180.4751.496
190.6880.1870.6980.98621.01400.4971.5030.4901.483
200.6710.1800.6800.98691.01330.5101.4900.5041.470
210.6550.1730.6630.98761.01260.5231.4770.5161.459
220.6400.1670.6470.98821.01190.5341.4660.5281.448
230.6260.1620.6330.98871.01140.5451.4550.5391.438
240.6120.1570.6190.98921.01090.5551.4450.5491.429
250.6000.1530.6060.98961.01050.5651.4350.5591.420
Chart for Rangesx?Charts
Observations
in Sample,?n
Factors for Central LineFactors for Control Limits
d21 / d2d3D1D2D3D4E2
21.1280.88650.85303.68603.2672.660
31.6930.59070.88804.35802.5741.772
42.0590.48570.88004.69802.2821.457
52.3260.42990.86404.91802.1141.290
62.5340.39460.84805.07802.0041.184
72.7040.36980.8330.2045.2040.0761.9241.109
82.8470.35120.8200.3885.3060.1361.8641.054
92.9700.33670.8080.5475.3930.1841.8161.010
103.0780.32490.7970.6875.4690.2231.7770.975
113.1730.31520.7870.8115.5350.2561.7440.945
123.2580.30690.7780.9225.5940.2831.7170.921
133.3360.29980.7701.0255.6470.3071.6930.899
143.4070.29350.7631.1185.6960.3281.6720.881
153.4720.28800.7561.2035.7410.3471.6530.864
163.5320.28310.7501.2825.7820.3631.6370.849
173.5880.27870.7441.3565.8200.3781.6220.836
183.6400.27470.7391.4245.8560.3911.6080.824
193.6890.27110.7341.4875.8910.4031.5970.813
203.7350.26770.7291.5495.9210.4151.5850.803
213.7780.26470.7241.6055.9510.4251.5750.794
223.8190.26180.7201.6595.9790.4341.5660.786
233.8580.25920.7161.7106.0060.4431.5570.778
243.8950.25670.7121.7596.0310.4511.5480.770
253.9310.25440.7081.8066.0560.4591.5410.763

CenterlineControl Limits$$$ \sigma_x $$$
X bar and R Charts$$$ CL_\overline{X} =\overline{\overline{X}} $$$ $$$ UCL_\overline{X} =\overline{\overline{X}}+A_2 \overline{R} $$$$$$ LCL_\overline{X} =\overline{\overline{X}}-A_2 \overline{R} $$$$$$ \frac{\overline{R}}{d_{2}} $$$
$$$ CL_R =\overline{R} $$$ $$$ UCL_R =D_4 \overline{R} $$$$$$ LCL_R =D_3 \overline{R} $$$
X bar and s Charts$$$ CL_\overline{X} =\overline{\overline{X}} $$$ $$$ UCL_\overline{X} =\overline{\overline{X}}+A_3 \overline{S} $$$$$$ LCL_\overline{X} =\overline{\overline{X}}-A_3 \overline{S} $$$$$$ \frac{\overline{s}}{c_{4}} $$$
$$$ CL_R =\overline{s} $$$ $$$ UCL_R =B_4 \overline{s} $$$$$$ LCL_R =B_3 \overline{s} $$$
Median Charts$$$ CL_\overline{X} =\overline{\widetilde{X}} $$$ $$$ UCL_\overline{X} =\overline{\widetilde{X}}+\overline{\widetilde{A}}_2 \overline{R} $$$$$$ LCL_\overline{X} =\overline{\widetilde{X}}-\overline{\widetilde{A}}_2 \overline{R} $$$-
$$$ CL_R =\overline{R} $$$ $$$ UCL_R =D_4 \overline{R} $$$$$$ LCL_R =D_3 \overline{R} $$$
Charts for
Individuals
$$$ CL_X =\overline{X} $$$ $$$ UCL_X =\overline{X}+ E_2 \overline{R} $$$$$$ LCL_X =\overline{X}- E_2 \overline{R} $$$-
$$$ CL_R =\overline{R} $$$ $$$ UCL_R =D_4 \overline{R} $$$$$$ LCL_R =D_3 \overline{R} $$$
p chartfor proportions of units in a category
CenterlineControl Limits
$$$ CL_{p} = \overline{P} $$$ Samples not necessarily of constant size

$$$ UCL_{pi} = \overline{P}+3 \frac{\sqrt{\overline{p} (1-\overline{p}})}{\sqrt{n_{i}}} $$$

$$$ LCL_{pi} = \overline{P}-3 \frac{\sqrt{\overline{p} (1-\overline{p}})}{\sqrt{n_{i}}} $$$

If the Sample size is constant (n)

$$$ UCL_{pi} = \overline{P}+3 \frac{\sqrt{\overline{p} (1-\overline{p}})}{\sqrt{n}} $$$

$$$ LCL_{pi} = \overline{P}-3 \frac{\sqrt{\overline{p} (1-\overline{p}})}{\sqrt{n}} $$$


np chartfor number / rate of units in a category
CenterlineControl Limits
$$$ CL_{np} = \overline{P} $$$

$$$ UCL_{np} = \overline{nP}+3 {\sqrt{\overline{np} (1-\overline{p}})} $$$

$$$ LCL_{np} = \overline{nP}-3 {\sqrt{\overline{np} (1-\overline{p}})} $$$


c chartfor number of incidences in one or more categories
CenterlineControl Limits
$$$ CL_{c} = \overline{c} $$$

$$$ UCL_{c} = \overline{c}+3 {\sqrt {\overline{c}}} $$$

$$$ LCL_{c} = \overline{c}-3 {\sqrt {\overline{c}}} $$$


u chartfor number of incidences per unit in one or more categories
CenterlineControl Limits
$$$ CL_{u} = \overline{u} $$$ Samples not necessarily of constant size

$$$ UCL_{u} = \overline{u}+3 \sqrt{\frac{\overline{u}}{n_i}} $$$

$$$ LCL_{u} = \overline{u}-3 \sqrt{\frac{\overline{u}}{n_i}} $$$

using average sample size

$$$ UCL_{u} = \overline{u}+3 \sqrt{\frac{\overline{u}}{\overline{n}}} $$$

$$$ LCL_{u} = \overline{u}-3 \sqrt{\frac{\overline{u}}{\overline{n}}} $$$

If the sample size is constant (n)

$$$ UCL_{u} = \overline{u}+3 \sqrt{\frac{\overline{u}}{n}} $$$

$$$ LCL_{u} = \overline{u}-3 \sqrt{\frac{\overline{u}}{n}} $$$