Chapter 1. Tutorial 27.2: Statistical Process Control – Xbar charts

Problem Statement

{3,4,5,6,7,8,9}
rand(0,5)
3[0]
{5.77,5,4.47,4.08,3.78,3.54,3.33}
5.77[0]
{80.31,78,76.42,75.24,74.34,73.62,72.99}
80.31[0]
{45.69,48.,49.58,50.76,51.66,52.38,53.01}
45.69[0]
{80.31,78,76.42,75.24,74.34,73.62,72.99}
80.31[0]
{45.69,48,49.58,50.76,51.66,52.38,53.01}
45.69[0]

Consider a process to manufacture computer monitors. An important quality variable is the color rendition of the input signal which is measured using a colorimeter. From long experience, the mean calorimeter reading when the process is in control is 63 (from a scale of 0 to 100) with a standard deviation of individual measurements of 10. During the manufacturing process, a technician takes a sample of 3 monitors every shift and measures the color rendition.

Step 1

questions

Question 1

The process mean is ____.

Correct.
Incorrect.

Step 2

Question 4

The upper control limit of the Xbar control chart is (round your answer to two decimal places) ____ .

Correct.
Incorrect.

Step 3

Consider the following Xbar control charts and answer the following questions:

Question 7

Figure 1.1

The mean when the process is in control is . The standard deviation of the INDIVIDUAL observations when the process is in control is .

Correct.
Incorrect.