Question 1

Which of the following is true about cutting costs at Canada Bankers Life Assurance Company?

Accepted Answer

A) They outsourced their call centre. 
B) Customer satisfaction increased. 
C) Customer service improved. 
D) Quality metrics showed improvements. 
E) Wastage decreased. 
A) They outsourced their call centre. 
B) Customer satisfaction increased. 
C) Customer service improved. 
D) Quality metrics showed improvements. 
E) Wastage decreased. A

Question 2

The statistical definition of Six Sigma allows for 3.4 defects per million.This is achieved by a Cpk index of

Accepted Answer

A) 0. 
B) 1. 
C) 1.33. 
D) 1.67. 
E) 2. 
A) 0. 
B) 1. 
C) 1.33. 
D) 1.67. 
E) 2. E

Question 3

Acceptance sampling

Accepted Answer

A) may involve inspectors taking random samples (or batches)of finished products and measuring them against predetermined standards. 
B) may involve inspectors taking random samples (or batches)of incoming raw materials and measuring them against predetermined standards. 
C) is more economical than 100% inspection. 
D) may be either of a variable or attribute type,although attribute inspection is more common in the business environment. 
E) All of the above are true. 
A) may involve inspectors taking random samples (or batches)of finished products and measuring them against predetermined standards. 
B) may involve inspectors taking random samples (or batches)of incoming raw materials and measuring them against predetermined standards. 
C) is more economical than 100% inspection. 
D) may be either of a variable or attribute type,although attribute inspection is more common in the business environment. 
E) All of the above are true. E

Question 4

If μ = 9 ounces,σ = 0.5 ounces,and n = 9,calculate the 3-sigma control limits.

Accepted Answer

The answer of If μ = 9 ounces,σ = 0.5...

Question 5

Mistakes stemming from workers' inadequate training represent an assignable cause of variation.

Accepted Answer

A) True 
 B)False

Question 6

In the table below are selected values for the OC curve for the acceptance sampling plan n=210,c=6.Upon failed inspection,defective items are replaced.Calculate the AOQ for each data point.(You may assume that the population is much larger than the sample. )Plot the AOQ curve.At approximately what population defective rate is the AOQ at its worst? Explain how this happens.How well does this plan meet the specifications of AQL = 0.015,α = 0.05;LTPD = 0.05,β=0.10? Discuss.

Accepted Answer

The plan meets the α

Question 7

The mean and standard deviation for a process for which we have a substantial history are μ = 120 and σ = 2.For the x-bar chart,a sample size of 16 will be used.What is the mean of the sampling distribution?

Accepted Answer

A) 1/8 (0.125) 
B) 7.5 
C) 2 
D) 40 
E) 120 
A) 1/8 (0.125) 
B) 7.5 
C) 2 
D) 40 
E) 120

Question 8

The steeper an OC curve,the better it discriminates between good and bad lots.

Accepted Answer

A) True 
 B)False

Question 9

Natural variations

Accepted Answer

A) are variations that are to be identified and investigated. 
B) are variations that can be traced to a specific cause. 
C) are the same as assignable variations. 
D) lead to occasional false findings that processes are out of control. 
E) play no role in statistical process control. 
A) are variations that are to be identified and investigated. 
B) are variations that can be traced to a specific cause. 
C) are the same as assignable variations. 
D) lead to occasional false findings that processes are out of control. 
E) play no role in statistical process control.

Question 10

What is the difference between the process capability ratio Cp and the process capability index Cpk?

Accepted Answer

The Cp ratio does not consider

Question 11

An operating characteristic (OC)curve describes

Accepted Answer

A) how many defects per unit are permitted before rejection occurs. 
B) the sample size necessary to distinguish between good and bad lots. 
C) the most appropriate sampling plan for a given incoming product quality level. 
D) how well an acceptance sampling plan discriminates between good and bad lots. 
E) how many defects per lot are permitted before rejection occurs. 
A) how many defects per unit are permitted before rejection occurs. 
B) the sample size necessary to distinguish between good and bad lots. 
C) the most appropriate sampling plan for a given incoming product quality level. 
D) how well an acceptance sampling plan discriminates between good and bad lots. 
E) how many defects per lot are permitted before rejection occurs.

Question 12

A quality analyst wants to construct a sample mean chart for controlling a packaging process.He knows from past experience that when the process is operating as intended,packaging weight is normally distributed with a mean of twenty ounces,and a process standard deviation of two ounces.Each day last week,he randomly selected four packages and weighed each.The data from that activity appears below.   (a)If he sets an upper control limit of 21 and a lower control limit of 19 around the target value of twenty ounces,what is the probability of concluding that this process is out of control when it is actually in control?
(b)With the UCL and LCL of part a,what do you conclude about this process-is it in control?

Accepted Answer

(a)These control limits are one standard

Question 13

A part that connects two levels should have a distance between the two holes of 4".It has been determined that x-bar and R-charts should be set up to determine if the process is in statistical control.The following ten samples of size four were collected.Calculate the control limits,plot the control charts,and determine if the process is in control.

Accepted Answer

@#IMG-DLM& @#IMG-DLM& The process is out

Question 14

Acceptance sampling is usually used to control

Accepted Answer

A) the number of units output from one stage of a process which are then sent to the next stage. 
B) the number of units delivered to the customer. 
C) the quality of work-in-process inventory. 
D) incoming lots of purchased products. 
E) the number of outgoing units. 
A) the number of units output from one stage of a process which are then sent to the next stage. 
B) the number of units delivered to the customer. 
C) the quality of work-in-process inventory. 
D) incoming lots of purchased products. 
E) the number of outgoing units.

Question 15

An operating characteristics curve shows

Accepted Answer

A) upper and lower product specifications. 
B) product quality under different manufacturing conditions. 
C) how the probability of accepting a lot varies with the population percent defective. 
D) when product specifications don't match process control limits. 
E) how operations affect certain characteristics of a product. 
A) upper and lower product specifications. 
B) product quality under different manufacturing conditions. 
C) how the probability of accepting a lot varies with the population percent defective. 
D) when product specifications don't match process control limits. 
E) how operations affect certain characteristics of a product.

Question 16

Acceptance sampling's primary purpose is to

Accepted Answer

A) estimate process quality. 
B) identify processes that are out of control. 
C) detect and eliminate defectives. 
D) decide if a lot meets predetermined standards. 
E) determine whether defective items found in sampling should be replaced. 
A) estimate process quality. 
B) identify processes that are out of control. 
C) detect and eliminate defectives. 
D) decide if a lot meets predetermined standards. 
E) determine whether defective items found in sampling should be replaced.

Question 17

Briefly explain what the Central Limit Theorem has to do with control charts.

Accepted Answer

The CLT underlies the distribu

Question 18

Plots of sample ranges indicate that the most recent value is below the lower control limit.What course of action would you recommend?

Accepted Answer

A) Since there is no obvious pattern in the measurements,variability is in control. 
B) One value outside the control limits is insufficient to warrant any action. 
C) Lower than expected dispersion is a desirable condition;there is no reason to investigate. 
D) The process is out of control;reject the last units produced. 
E) Variation is not in control;investigate what created this condition. 
A) Since there is no obvious pattern in the measurements,variability is in control. 
B) One value outside the control limits is insufficient to warrant any action. 
C) Lower than expected dispersion is a desirable condition;there is no reason to investigate. 
D) The process is out of control;reject the last units produced. 
E) Variation is not in control;investigate what created this condition.

Question 19

The x-bar chart,like the c-chart,is based on the exponential distribution.

Accepted Answer

A) True 
 B)False

Question 20

A process range chart illustrates the amount of variation within the samples.

Accepted Answer

A) True 
 B)False

Exam 18: Statistical Process Control

Which of the following is true about cutting costs at Canada Bankers Life Assurance Company?

The statistical definition of Six Sigma allows for 3.4 defects per million.This is achieved by a Cpk index of

Acceptance sampling

If μ = 9 ounces,σ = 0.5 ounces,and n = 9,calculate the 3-sigma control limits.

Mistakes stemming from workers' inadequate training represent an assignable cause of variation.

The mean and standard deviation for a process for which we have a substantial history are μ = 120 and σ = 2.For the x-bar chart,a sample size of 16 will be used.What is the mean of the sampling distribution?

The steeper an OC curve,the better it discriminates between good and bad lots.

Natural variations

What is the difference between the process capability ratio Cp and the process capability index Cpk?

An operating characteristic (OC)curve describes

Acceptance sampling is usually used to control

An operating characteristics curve shows

Acceptance sampling's primary purpose is to

Briefly explain what the Central Limit Theorem has to do with control charts.

Plots of sample ranges indicate that the most recent value is below the lower control limit.What course of action would you recommend?

The x-bar chart,like the c-chart,is based on the exponential distribution.

A process range chart illustrates the amount of variation within the samples.

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