A company that makes tennis balls controls its production process by periodically taking a sample of 100 balls from the assembly line. Each ball is checked for defective features. P-chart control limits are developed using 3 standard deviations from the mean as the limit. During the last 15 samples taken, the percentage of defective items per sample was recorded as follows:

$ \begin{array}{llllllll}.02 & .01 & .03 & .01 & .01 & .02 & .00 & .02 \ .00 & .01 & .03 & .03 & .02 & .02 & .01 & \end{array} $

Compute the mean percent defective.
a. Compute the UCL and the LCL.

Question

A company that makes tennis balls controls its production process by periodically taking a sample of 100 balls from the assembly line. Each ball is checked for defective features. P-chart control limits are developed using 3 standard deviations from the mean as the limit. During the last 15 samples taken, the percentage of defective items per sample was recorded as follows:

\begin{array}{llllllll}.02 & .01 & .03 & .01 & .01 & .02 & .00 & .02 \\ .00 & .01 & .03 & .03 & .02 & .02 & .01 & \end{array}

Compute the mean percent defective.
a. Compute the UCL and the LCL.

$ \begin{array}{llllllll}.02 & .01 & .03 & .01 & .01 & .02 & .00 & .02 \ .00 & .01 & .03 & .03 & .02 & .02 & .01 & \end{array} $

Compute the mean percent defective.
 a. Compute the UCL and the LCL.

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The Answer of A company that makes tennis balls controls its production process by periodically taking a sample of 100 balls from the assembly line. Each ball is checked for defective features. P-chart control limits are developed using 3 standard deviations from the mean as the limit. During the last 15 samples taken, the percentage of defective items per sample was recorded as follows:

$ \begin{array}{llllllll}.02 & .01 & .03 & .01 & .01 & .02 & .00 & .02 \ .00 & .01 & .03 & .03 & .02 & .02 & .01 & \end{array} $

Compute the mean percent defective.
 a. Compute the UCL and the LCL.