Question 1

Which of the following situations suggests a process that appears to be operating in a state of statistical control?

Accepted Answer

A) A control chart with a series of consecutive points that are above the centre line and a series of consecutive points that are below the centre line. 
B) A control chart in which no points fall outside either the upper control limit or the lower control limit and no patterns are present. 
C) A control chart in which several points fall outside the upper control limit. 
D) All of the above. 
A) A control chart with a series of consecutive points that are above the centre line and a series of consecutive points that are below the centre line. 
B) A control chart in which no points fall outside either the upper control limit or the lower control limit and no patterns are present. 
C) A control chart in which several points fall outside the upper control limit. 
D) All of the above.

Question 2

Instruction 18-17
The manufacturer of canned food constructed control charts and analysed several quality characteristics.One characteristic of interest is the weight of the filled cans.The lower specification limit for weight is 2.95 kilograms.The table below provides the range and mean of the weights of five cans tested every 15 minutes during a day's production.
 $\begin{array}{|l|l|l|l|l|l|}
\hline \text { Number } & \text { XBar } & \text { Range } & \text { Number } & \text { XBar } & \text { Range } \
\hline 1 & 3.05072 & 0.0215 & 16 & 3.04646 & 0.073 \
\hline 2 & 3.01228 & 0.087 & 17 & 3.03868 & 0.0696 \
\hline 3 & 3.03558 & 0.0851 & 18 & 3.03338 & 0.0329 \
\hline 4 & 3.01014 & 0.0674 & 19 & 3.03322 & 0.0455 \
\hline 5 & 3.00858 & 0.0983 & 20 & 3.05078 & 0.0215 \
\hline 6 & 3.02704 & 0.0527 & 21 & 3.04808 & 0.0396 \
\hline 7 & 3.04268 & 0.0508 & 22 & 3.05348 & 0.0581\
\hline 3 & 3.01052 & 0.0791 & 23 & 3.05516 & 0.0682 \
\hline 9 & 3.03464 & 0.0663 & 24 & 3.03426 & 0.0325 \
\hline 10 & 3.02034 & 0.0538 & 25 & 3.0516 & 0.0641 \
\hline 11 & 3.03764 & 0.0584 & 26 & 3.05562 & 0.0809 \
\hline 12 & 3.0409 & 0.0434 & 27 & 3.04402 & 0.0374 \
\hline 13 & 3.0519 & 0.0762 & 28 & 3.06458 & 0.0284 \
\hline 14 & 3.03994 & 0.0833 & 29 & 3.0544 & 0.0738 \
\hline 15 & 3.03788 & 0.0601 & & & \\hline
\end{array}$
-Referring to Instruction 18-17,construct an chart for the weight.

Accepted Answer

To construct an  \bar{X}  chart (X-bar c

Question 3

The cause of variation that can be reduced only by changing the system is ________ cause variation.

Accepted Answer

The answer of The cause of variation that can be...

Question 4

Instruction 18-17A
A factory supervisor is concerned that the time it takes workers to complete an important production task (measured in seconds)is too erratic and adversely affects expected profits.The supervisor proceeds by randomly sampling five individuals per hour for a period of 10 hours.The sample mean and range for each hour are listed below.
She also decides that lower and upper specification limit for the critical-to-quality variable should be 10 and 30 seconds,respectively.
-Referring to Instruction 18-17A,what is the value of the CPL index?

Accepted Answer

The answer of Instruction 18-17A
A factory supervisor is concerned that...

Question 5

Instruction 18-9
A quality control analyst for a light bulb manufacturer is concerned that the time it takes to produce a batch of light bulbs is too erratic.Accordingly,the analyst randomly surveys 10 production periods each day for 14 days and records the sample mean and range for each day.
-Referring to Instruction 18-9,suppose the analyst constructs an R chart to see if the variability in production times is in control.What is the centre line of this R chart?

Accepted Answer

A) 7.1 
B) 6.9 
C) 4.8 
D) 6.0 
A) 7.1 
B) 6.9 
C) 4.8 
D) 6.0

Question 6

It is not possible for the chart to be out-of-control when the R chart is in control.

Accepted Answer

A) True 
 B)False

Question 7

A process capability is estimated by the percentage of product or service that fall outside the specification limits.

Accepted Answer

A) True 
 B)False

Which of the following situations suggests a process that appears to be operating in a state of statistical control?

The cause of variation that can be reduced only by changing the system is ________ cause variation.

It is not possible for the chart to be out-of-control when the R chart is in control.

A process capability is estimated by the percentage of product or service that fall outside the specification limits.

Introduction and Data Collection

Presenting Data in Tables and Charts

Numerical Descriptive Measures

Basic Probability

Some Important Discrete Probability Distributions

The Normal Distribution and Other Continuous Distributions

Sampling Distributions

Confidence Interval Estimation

Fundamentals of Hypothesis Testing: One-Sample Tests

Hypothesis Testing: Two Sample Tests

Analysis of Variance

Simple Linear Regression

Introduction to Multiple Regression

Time-Series Forecasting and Index Numbers

Chi-Square Tests

Multiple Regression Model Building

Decision Making

Further Non-Parametric Tests

Filters

Exam 18: Statistical Applications in Quality and Productivity Management

Which of the following situations suggests a process that appears to be operating in a state of statistical control?

The cause of variation that can be reduced only by changing the system is ________ cause variation.

It is not possible for the chart to be out-of-control when the R chart is in control.

A process capability is estimated by the percentage of product or service that fall outside the specification limits.

Introduction and Data Collection

Presenting Data in Tables and Charts

Numerical Descriptive Measures

Basic Probability

Some Important Discrete Probability Distributions

The Normal Distribution and Other Continuous Distributions

Sampling Distributions

Confidence Interval Estimation

Fundamentals of Hypothesis Testing: One-Sample Tests

Hypothesis Testing: Two Sample Tests

Analysis of Variance

Simple Linear Regression

Introduction to Multiple Regression

Time-Series Forecasting and Index Numbers

Chi-Square Tests

Multiple Regression Model Building

Decision Making

Further Non-Parametric Tests

Filters