 15.8.73E: The following data were considered in Quality Engineering [“Parabol...
 15.8.74E: The purity of a chemical product is measured every two hours. The r...
 15.8.75E: An automatic senson measures the diameter of holes in consecutive o...
 15.8.76E: The concentration of a chemical product is measured by taking four ...
 15.8.77E: Consider a CUSUM with h = 5 and k = 1 / 2. Samples are taken every ...
 15.8.79E: Consider the diameter data in Exercise 1575. Assume that the desir...
 15.8.78E: Consider the purity data in Exercise 1574. Use ? = 0.8. and assume...
 15.8.80E: Consider the concentration data in Exercise 1576. Use ? = 8 and as...
 15.8.81E: Consider an EMWA control chart. The target value for the process is...
 15.8.82E: A process has a target of ?0 = 100 and a standard deviation of ? = ...
 15.8.83E: A process has a target of ?0 = 100 and a standard deviation of ? = ...
 15.8.168E: The number of influenza patients (in thousands) visiting hospitals ...
 15.8.169E: Consider the heart rate data in Exercise 1583. Use ? = 70 and ? = ...
 15.8.170E: Consider the influenza data in Exercise 1584. Use ? = 160 and ? = ...
Solutions for Chapter 15.8: Applied Statistics and Probability for Engineers 6th Edition
Full solutions for Applied Statistics and Probability for Engineers  6th Edition
ISBN: 9781118539712
Solutions for Chapter 15.8
Get Full SolutionsSince 14 problems in chapter 15.8 have been answered, more than 173963 students have viewed full stepbystep solutions from this chapter. Applied Statistics and Probability for Engineers was written by and is associated to the ISBN: 9781118539712. This expansive textbook survival guide covers the following chapters and their solutions. This textbook survival guide was created for the textbook: Applied Statistics and Probability for Engineers , edition: 6. Chapter 15.8 includes 14 full stepbystep solutions.

2 k p  factorial experiment
A fractional factorial experiment with k factors tested in a 2 ? p fraction with all factors tested at only two levels (settings) each

Adjusted R 2
A variation of the R 2 statistic that compensates for the number of parameters in a regression model. Essentially, the adjustment is a penalty for increasing the number of parameters in the model. Alias. In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.

Analytic study
A study in which a sample from a population is used to make inference to a future population. Stability needs to be assumed. See Enumerative study

Average run length, or ARL
The average number of samples taken in a process monitoring or inspection scheme until the scheme signals that the process is operating at a level different from the level in which it began.

Bias
An effect that systematically distorts a statistical result or estimate, preventing it from representing the true quantity of interest.

Categorical data
Data consisting of counts or observations that can be classiied into categories. The categories may be descriptive.

Confounding
When a factorial experiment is run in blocks and the blocks are too small to contain a complete replicate of the experiment, one can run a fraction of the replicate in each block, but this results in losing information on some effects. These effects are linked with or confounded with the blocks. In general, when two factors are varied such that their individual effects cannot be determined separately, their effects are said to be confounded.

Contingency table.
A tabular arrangement expressing the assignment of members of a data set according to two or more categories or classiication criteria

Continuity correction.
A correction factor used to improve the approximation to binomial probabilities from a normal distribution.

Continuous uniform random variable
A continuous random variable with range of a inite interval and a constant probability density function.

Cook’s distance
In regression, Cook’s distance is a measure of the inluence of each individual observation on the estimates of the regression model parameters. It expresses the distance that the vector of model parameter estimates with the ith observation removed lies from the vector of model parameter estimates based on all observations. Large values of Cook’s distance indicate that the observation is inluential.

Degrees of freedom.
The number of independent comparisons that can be made among the elements of a sample. The term is analogous to the number of degrees of freedom for an object in a dynamic system, which is the number of independent coordinates required to determine the motion of the object.

Discrete random variable
A random variable with a inite (or countably ininite) range.

Distribution function
Another name for a cumulative distribution function.

Enumerative study
A study in which a sample from a population is used to make inference to the population. See Analytic study

Erlang random variable
A continuous random variable that is the sum of a ixed number of independent, exponential random variables.

Experiment
A series of tests in which changes are made to the system under study

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

Finite population correction factor
A term in the formula for the variance of a hypergeometric random variable.

Fractional factorial experiment
A type of factorial experiment in which not all possible treatment combinations are run. This is usually done to reduce the size of an experiment with several factors.