The degree to which the product or service meets specifications is one definition of

1. sigma.

2. quality.

3. range.

4. process variability.

A control chart for monitoring processes in which values are measured in continuous units such as weight or volume is called a control chart for

1. attributes.

2. measurements.

3. variables.

4. quality.

The type of chart used to control the number of defects per unit of output is the

1. $\overline{x}$-chart.

2. R-chart.

3. p-chart.

4. c-chart.

Control charts for attributes are

1. p-charts.

2. m-charts.

3. R-charts.

4. $\overline{x}$-charts.

The Poisson distribution is often used with

1. R-charts.

2. p-charts.

3. c-charts.

4. x-charts.

A type of variability that indicates that a process is out of control is called

1. natural variation.

2. assignable variation.

3. random variation.

4. average variation.

A company is implementing a new quality control program. Items are sampled and classified as being defective or nondefective. The type of control chart that should be used is

1. an R-chart.

2. a control chart for variables.

3. a control chart for attributes.

4. a control limit chart.

After a control chart (for means) has been developed, samples are taken, and the average is computed for each sample. The process could be considered out of control if

1. one of the sample means is above the upper control limit.

2. one of the sample means is below the lower control limit.

3. five consecutive sample means show a consistent trend (either increasing or decreasing).

4. all of the above are true.

A machine is supposed to fill soft drink cans to 12 ounces. It appears that although the average amount in the cans is about 12 ounces (based on sample means), there is a great deal of variability in each of the individual cans. The type of chart that would best detect this problem would be

1. a p-chart.

2. an R-chart.

3. a c-chart.

4. an attribute chart.

If a process has only random variations (it is in control), then 95.5% of the time the sample averages will fall within

1. 1 standard deviation of the population mean.

2. 2 standard deviations of the population mean.

3. 3 standard deviations of the population mean.

4. 4 standard deviations of the population mean.