 15.11.137MEE: Consider a process whose specifications on a quality characteristic...
 15.11.91SE: The diameter of fuse pins used in an aircraft engine application is...
 15.11.92SE: Rework Exercise 1591 with and S charts.1591. The diameter of fuse...
 15.11.93SE: Plastic bottles for liquid laundry detergent are formed by blow mol...
 15.11.94SE: Cover cases for a personal computer are manufactured by injection m...
 15.11.95SE: An article in Quality Engineering [“Is the Process Capable? Tables ...
 15.11.96SE: The following data from the U.S. Department of Energy Web site (www...
 15.11.97SE: The following dataset was considered in Quality Engineering [“Analy...
 15.11.98SE: Suppose that an control chart with 2sigma limits is used to contro...
 15.11.99SE: Consider the diameter data in Exercise 1591.(a) Construct an EWMA ...
 15.11.100SE: Consider the renewable energy data in Exercise 1596.(a) Construct ...
 15.11.101SE: Consider the hub data in Exercise 1595.(a) Construct an EWMA contr...
 15.11.102SE: Consider the data in Exercise 1520. Set up a CUSUM scheme for this...
 15.11.103SE: Consider the hardness measurement data in Exercise 1519. Set up a ...
 15.11.104SE: Reconsider the viscosity data in Exercise 1522. Construct a CUSUM ...
 15.11.105SE: The following data were considered in Quality Progress [“Digidot Pl...
 15.11.106SE: Suppose that a process is in control and an chart is used with a sa...
 15.11.107SE: Consider the control chart for individuals with 3sigma limits.(a) ...
 15.11.108SE: Consider a control chart for individuals applied to a continuous 24...
 15.11.109SE: The depth of a keyway is an important part quality characteristic. ...
 15.11.110SE: Consider a control chart for individuals with 3sigma limits. What ...
 15.11.111SE: Suppose that a process has a PCR = 2, but the mean is exactly 3 sta...
 15.11.112SE: process is controlled by a P chart using samples of size 100. The c...
 15.11.113SE: Suppose that the average number of defects in a unit is known to be...
 15.11.114SE: Suppose that the average number of defects in a unit is known to be...
 15.11.115SE: An EWMA chart with ?= . 0 5 and L= . 3 07 is to be used to monitor ...
 15.11.116SE: The following table provides the costs for gasoline by month in the...
 15.11.117SE: The following table shows the number of emails a student received ...
 15.11.118SE: The following are the number of defects observed on 15 samples of t...
 15.11.119SE: Consider an control chart with UCL = 32.802, UCL = 24.642, and n = ...
 15.11.120SE: The number of visits (in millions) on a Web site is recorded every ...
 15.11.121SE: An article in Microelectronics Reliability [“Advanced Electronic Pr...
 15.11.122SE: A article in the Journal of Quality in Clinical Practice [“The Appl...
 15.11.123SE: The control limits for an chart with n = 4 are 12.8 and 24.8, and t...
 15.11.124SE: Consider the turnaround time (TAT) for complete blood counts in Exe...
 15.11.125SE: Consider the inventory accuracy in Exercise 1527. Because lower va...
 15.11.126SE: Consider the TAT data in Exercise 1518.(a) Construct an CUSUM cont...
 15.11.127SE: An article in Electric Power Systems Research [“On the SelfSchedul...
 15.11.131MEE: Suppose that a process is in control, and 3sigma control limits ar...
 15.11.132MEE: Consider an control chart with ksigma control limits and subgroup ...
 15.11.133MEE: Suppose that an chart is used to control a normally distributed pro...
 15.11.134MEE: Suppose that a P chart with center line at with ksigma control lim...
 15.11.135MEE: Suppose that a P chart with center line at and ksigma control limi...
 15.11.136MEE: A process is controlled by a P chart using samples of size 100. The...
 15.11.137EE: Consider a process whose specifications on a quality characteristic...
 15.11.138MEE: NP Control Chart. An alternative to the control chart for fraction ...
 15.11.139MEE: C Control Chart. An alternative to the U chart is a chart based on ...
 15.11.140MEE: Standardized Control Chart. Consider the P chart with the usual 3s...
 15.11.141MEE: Unequal Sample Sizes. One application of the standardized control c...
Solutions for Chapter 15.11: Applied Statistics and Probability for Engineers 6th Edition
Full solutions for Applied Statistics and Probability for Engineers  6th Edition
ISBN: 9781118539712
Solutions for Chapter 15.11
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2 k factorial experiment.
A full factorial experiment with k factors and all factors tested at only two levels (settings) each.

`error (or `risk)
In hypothesis testing, an error incurred by rejecting a null hypothesis when it is actually true (also called a type I error).

Acceptance region
In hypothesis testing, a region in the sample space of the test statistic such that if the test statistic falls within it, the null hypothesis cannot be rejected. This terminology is used because rejection of H0 is always a strong conclusion and acceptance of H0 is generally a weak conclusion

Alias
In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.

All possible (subsets) regressions
A method of variable selection in regression that examines all possible subsets of the candidate regressor variables. Eficient computer algorithms have been developed for implementing all possible regressions

Biased estimator
Unbiased estimator.

Binomial random variable
A discrete random variable that equals the number of successes in a ixed number of Bernoulli trials.

Conditional probability density function
The probability density function of the conditional probability distribution of a continuous random variable.

Conditional probability distribution
The distribution of a random variable given that the random experiment produces an outcome in an event. The given event might specify values for one or more other random variables

Cumulative normal distribution function
The cumulative distribution of the standard normal distribution, often denoted as ?( ) x and tabulated in Appendix Table II.

Cumulative sum control chart (CUSUM)
A control chart in which the point plotted at time t is the sum of the measured deviations from target for all statistics up to time t

Defectsperunit control chart
See U chart

Deming
W. Edwards Deming (1900–1993) was a leader in the use of statistical quality control.

Dispersion
The amount of variability exhibited by data

Empirical model
A model to relate a response to one or more regressors or factors that is developed from data obtained from the system.

Error of estimation
The difference between an estimated value and the true value.

Error propagation
An analysis of how the variance of the random variable that represents that output of a system depends on the variances of the inputs. A formula exists when the output is a linear function of the inputs and the formula is simpliied if the inputs are assumed to be independent.

Exponential random variable
A series of tests in which changes are made to the system under study

Extra sum of squares method
A method used in regression analysis to conduct a hypothesis test for the additional contribution of one or more variables to a model.

Forward selection
A method of variable selection in regression, where variables are inserted one at a time into the model until no other variables that contribute signiicantly to the model can be found.