Question 1

DFSS stands for _____.

Accepted Answer

A)  Defects Found Sifting and Sorting 
B)  Design for Six Sigma 
C)  Deviation from Specifications and Standards 
D)  Defer for Statistical Study 
A)  Defects Found Sifting and Sorting 
B)  Design for Six Sigma 
C)  Deviation from Specifications and Standards 
D)  Defer for Statistical Study

Question 2

We can examine the effect of the sampling plan on both types of risks by varying the assumed _____.

Accepted Answer

A)  percentage of defective items in the lot 
B)  number of defective items in the sample 
C)  probability of accepting the lot 
D)  number of units in the lot 
A)  percentage of defective items in the lot 
B)  number of defective items in the sample 
C)  probability of accepting the lot 
D)  number of units in the lot

Question 3

If the value of c in a single-stage sampling plan is increased, with n remaining constant, the probability of accepting the lot _____.

Accepted Answer

A)  increases 
B)  decreases 
C)  is unchanged 
D)  might increase or decrease, depending on the lot percent defective 
A)  increases 
B)  decreases 
C)  is unchanged 
D)  might increase or decrease, depending on the lot percent defective

Question 4

The control limits for an np chart are how many standard deviations above and below the expected number of defectives?

Accepted Answer

A)  one 
B)  two 
C)  three 
D)  four 
A)  one 
B)  two 
C)  three 
D)  four

Question 5

If the calculated lower-control limit of a p chart is negative, _____.

Accepted Answer

A)  a mistake has been made in the calculations 
B)  use the absolute value of the lower limit 
C)  it is set to zero 
D)  None of the answers is correct. 
A)  a mistake has been made in the calculations 
B)  use the absolute value of the lower limit 
C)  it is set to zero 
D)  None of the answers is correct.

Question 6

Control charts based on data indicating the presence of a defect or the number of defects are called ______ control charts.

Accepted Answer

A)  attributes 
B)  variables 
C)  common-cause 
D)  assignable-cause 
A)  attributes 
B)  variables 
C)  common-cause 
D)  assignable-cause

Question 7

Which of the following is NOT a type of a control chart?

Accepted Answer

A)  p chart 
B)  x-bar chart 
C)  R chart 
D)  All of the answers are correct. 
A)  p chart 
B)  x-bar chart 
C)  R chart 
D)  All of the answers are correct.

Question 8

A control chart that is used to monitor the range of the measurements in a sample is a(n) _____ chart.

Accepted Answer

A)  p 
B)  x-bar 
C)  R 
D)  np 
A)  p 
B)  x-bar 
C)  R 
D)  np

Question 9

A graphical tool used to help determine whether a process is in control or out of control is a _____.

Accepted Answer

A)  scatter diagram 
B)  histogram 
C)  control chart 
D)  None of the answers is correct. 
A)  scatter diagram 
B)  histogram 
C)  control chart 
D)  None of the answers is correct.

Question 10

Control charts based on data that can be measured on a continuous scale are called _____ control charts.

Accepted Answer

A)  normal 
B)  variables 
C)  attributes 
D)  precision 
A)  normal 
B)  variables 
C)  attributes 
D)  precision

Question 11

Six Sigma represents a quality level of at most ____ defects per million opportunities.

Accepted Answer

A)  3.4 
B)  6.0 
C)  19.7 
D)  99.5 
A)  3.4 
B)  6.0 
C)  19.7 
D)  99.5

DFSS stands for _____.

We can examine the effect of the sampling plan on both types of risks by varying the assumed _____.

If the value of c in a single-stage sampling plan is increased, with n remaining constant, the probability of accepting the lot _____.

The control limits for an np chart are how many standard deviations above and below the expected number of defectives?

If the calculated lower-control limit of a p chart is negative, _____.

Control charts based on data indicating the presence of a defect or the number of defects are called ______ control charts.

Which of the following is NOT a type of a control chart?

A control chart that is used to monitor the range of the measurements in a sample is a(n) _____ chart.

A graphical tool used to help determine whether a process is in control or out of control is a _____.

Control charts based on data that can be measured on a continuous scale are called _____ control charts.

Six Sigma represents a quality level of at most ____ defects per million opportunities.

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Hypothesis Tests

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Tests of Goodness of Fit, Independence, and Multiple Proportions

Experimental Design and Analysis of Variance

Simple Linear Regression

Multiple Regression

Regression Analysis: Model Building

Time Series Analysis and Forecasting

Nonparametric Methods

Decision Analysis

Sample Survey

Filters

Exam 19: Statistical Methods for Quality Control

DFSS stands for _____.

We can examine the effect of the sampling plan on both types of risks by varying the assumed _____.

If the value of c in a single-stage sampling plan is increased, with n remaining constant, the probability of accepting the lot _____.

The control limits for an np chart are how many standard deviations above and below the expected number of defectives?

If the calculated lower-control limit of a p chart is negative, _____.

Control charts based on data indicating the presence of a defect or the number of defects are called ______ control charts.

Which of the following is NOT a type of a control chart?

A control chart that is used to monitor the range of the measurements in a sample is a(n) _____ chart.

A graphical tool used to help determine whether a process is in control or out of control is a _____.

Control charts based on data that can be measured on a continuous scale are called _____ control charts.

Six Sigma represents a quality level of at most ____ defects per million opportunities.

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Hypothesis Tests

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Tests of Goodness of Fit, Independence, and Multiple Proportions

Experimental Design and Analysis of Variance

Simple Linear Regression

Multiple Regression

Regression Analysis: Model Building

Time Series Analysis and Forecasting

Nonparametric Methods

Decision Analysis

Sample Survey

Filters