Use the binomial distribution to describe a process where the outcomes can be labeled as an event or nonevent and when you are interested in the occurrence of an event and not in its …

Use Binomial Capability Analysis to determine whether the percentage of defective items meets customer requirements. Use when each item is classified into one of two categories, such as …

The supervisor performs binomial capability analysis to evaluate how well the process for answering calls meets specifications. Open the sample data, UnansweredCalls.MWX . …

Find definitions and interpretation guidance for every statistic and graph that is provided with binomial capability analysis.

Because the data have two possible outcomes, the data are binomial. The analyst performs an analysis of means to determine whether the proportion of rejects is significantly different for …

The binomial distribution is used to represent the number of events that occurs within n independent trials. Possible values are integers from zero to n.

In Defectives, enter the column of count data that you want to analyze.; Under Sample size, select an option and specify the sample size: . Constant size: Enter a value to use as the same …

Term Description; Inverse cumulative distribution function (CDF) of a standard normal distribution: Average P: The proportion of items in your process that are defective

Use the P chart from the binomial capability analysis output to determine whether the process is stable and in control. Investigate out-of-control points and eliminate any special-cause …

Binomial data are often used to calculate a proportion or a percentage, such as the percentage of sampled parts that are defective. You can use either the P chart or the NP chart to plot your …