np-chart

{{Lowercase}}

{{Infobox control chart

| name = np-chart

| proposer = Walter A. Shewhart

| subgroupsize = n > 1

| measurementtype = Number nonconforming per unit

| qualitycharacteristictype = Attributes data

| distribution = Binomial distribution

| sizeofshift = ≥ 1.5σ

| meanchart = Np control chart.svg

| meancenter = n \bar p = \frac {\sum_{i=1}^m \sum_{j=1}^n \begin{cases} 1 & \mbox{if }x_{ij}\mbox{ defective} \\ 0 & \mbox{otherwise} \end{cases}}{m}

| meanlimits = n \bar p \pm 3\sqrt{n \bar p(1- \bar p)}

| meanstatistic = n \bar p_i = \sum_{j=1}^n \begin{cases} 1 & \mbox{if }x_{ij}\mbox{ defective} \\ 0 & \mbox{otherwise} \end{cases}

}}

In statistical quality control, the np-chart is a type of control chart used to monitor the number of nonconforming units in a sample. It is an adaptation of the p-chart and used in situations where personnel find it easier to interpret process performance in terms of concrete numbers of units rather than the somewhat more abstract proportion.{{cite book | last = Montgomery | first = Douglas | title = Introduction to Statistical Quality Control | publisher = John Wiley & Sons, Inc. | year = 2005 | location = Hoboken, New Jersey | pages = 279 | url = http://www.eas.asu.edu/~masmlab/montgomery/ | isbn = 978-0-471-65631-9 | oclc = 56729567 | url-status = dead | archiveurl = https://web.archive.org/web/20080620095346/http://www.eas.asu.edu/~masmlab/montgomery/ | archivedate = 2008-06-20 }}

The np-chart differs from the p-chart in only the three following aspects:

  1. The control limits are n\bar p \pm 3\sqrt{n\bar p(1-\bar p)}, where n is the sample size and \bar p is the estimate of the long-term process mean established during control-chart setup.
  2. The number nonconforming (np), rather than the fraction nonconforming (p), is plotted against the control limits.
  3. The sample size, n, is constant.

See also

References