A supplier of silicone sheets for producers of computer chips wants to evaluate her manufacturing process. She takes samples of size 5 from each day's output and counts the number of blemishes on each silicone sheet for 20 days consecutive days. Which of the following would be the most appropriate analysis to perform?
A) Autoregressive modeling
B) Exponential smoothing
C) Multiple linear regression
D) Construct a c chart

Question

Quizplus · Accepted Answer

The best choice would be to construct a c chart, which is a control chart used for counting the number of defects in a sample of constant size. This would allow the supplier to monitor the process over time and identify any trends or changes in the number of blemishes produced. Autoregressive modeling and exponential smoothing are time series forecasting methods, which are not appropriate for this situation. Multiple linear regression is a statistical technique used to analyze the relationship between multiple variables, which is not applicable here since the supplier is only interested in the number of blemishes.

A Supplier of Silicone Sheets for Producers of Computer Chips