Exam 3: Statistical Quality Control

It is possible to have low variation within samples while at the same time having high variation between sample means.

Special cause variation can be identified using statistical process control.

Statistical process control involves monitoring and controlling a process to prevent poor quality.

Construction and use of an -chart is based on an assumption that the sample points are normally distributed around the centerline.

It is sometimes not necessary to determine new control limits after special cause variation has been identified if the source has been eliminated without changing the process.

The range is the difference between the smallest and largest values in a sample.

A company produces a product which is designed to weigh 10 oz. ,with a tolerance of oz.The process produces products with an average weight of 9.95 oz.and a standard deviation of 0.10 oz.According to the process capability ratio is the process capable of meeting design specifications?

When a control chart detects no special cause variation in a process,the upper and lower control limits are the same value.

Process control charts are often used at a critical point after which it is difficult to correct or rework the process output.

An x-bar and R-chart constructed to monitor and control a process use same raw data.

A control chart that reflects the amount of dispersion,or spread,present within each sample is known as an)

Two types of variation associated with the output of a process are common random)cause and special cause.

Using control charts,how do we evaluate whether a process is in control?

The process centerline for both xbar and R charts are both the same value because they are based on the same raw data.

Which of the following statements concerning control chart limits is true?

Variable quantitative)control charts are used to monitor measurable characteristics of a process's outputs.

Which of the following charts are frequently used together to monitor and control quality?

Special cause variation in a process is more likely to be detected with

Control charts are never implemented until special cause variation has been detected in a process.

Employee training in statistical process control is a fundamental principle in total quality management programs.