# Plot the OC Curve for a specific acceptance sampling plan

### Description

Plot the OC Curve for a specific acceptance plan. Needs the acceptance number *c* , the sample size *n*, and the fraction of the non conforming items *p*. The calculation uses the binomial trials. Applies for attribute plans.

### Usage

1 | ```
f_DR.CO(c,n,p)
``` |

### Arguments

`c` |
An integer number grater than zero, for the acceptance number. |

`n` |
An integer number grater than the acceptance number for the sample size. |

`p` |
Fraction average of the nonconforming items. |

### Value

`c` |
An integer number grater than zero, for the acceptance number. |

`n` |
An integer number grater than the acceptance number for the sample size. |

`p` |
Fraction average of the nonconforming items. |

`beta` |
Acceptance probability. |

### Author(s)

Erick Marroquin

### References

Montgomery, D.C. (2005) *Introduction to Statistical Quality Control*, 5th ed. New York: John Wiley & Sons, ISBN 0-471-65631-3

### See Also

f_dodge.romig.simple, `f_milstd414`

, `f_milstd105e`

,
`f_CO.plan`

### Examples

1 2 | ```
# n = 125 items, c=2, p = 0.01
f_DR.CO(2,125,0.1)
``` |