 5.5.1E: In a test of the effect of dampness on electric connections, 100 el...
 5.5.2E: The specification for the pull strength of a wire that connects an ...
 5.5.3E: Angioplasty is a medical procedure in which an obstructed blood ves...
 5.5.4E: A group of 50 computer science students were taught introductory co...
 5.5.5E: Crash testing is a highly expensive procedure to evaluate the abili...
 5.5.6E: The article “Occurrence and Distribution of Ammonium in Iowa Ground...
 5.5.7E: In a study of contamination at landfills containing construction an...
 5.5.8E: The article “Case Study Based Instruction of DOE and SPC” (J. Brady...
 5.5.9E: A mobile computer network consists of a number of computers (called...
 5.5.10E: The article “Evaluation of Criteria for Setting Speed Limits on Gra...
 5.5.11E: ?In a certain year, there were 80 days with measurable snowfall in ...
Solutions for Chapter 5.5: Statistics for Engineers and Scientists 4th Edition
Full solutions for Statistics for Engineers and Scientists  4th Edition
ISBN: 9780073401331
Solutions for Chapter 5.5
Get Full SolutionsThis textbook survival guide was created for the textbook: Statistics for Engineers and Scientists , edition: 4. This expansive textbook survival guide covers the following chapters and their solutions. Since 11 problems in chapter 5.5 have been answered, more than 614126 students have viewed full stepbystep solutions from this chapter. Statistics for Engineers and Scientists was written by and is associated to the ISBN: 9780073401331. Chapter 5.5 includes 11 full stepbystep solutions.

2 k factorial experiment.
A full factorial experiment with k factors and all factors tested at only two levels (settings) each.

Backward elimination
A method of variable selection in regression that begins with all of the candidate regressor variables in the model and eliminates the insigniicant regressors one at a time until only signiicant regressors remain

Bivariate distribution
The joint probability distribution of two random variables.

Chance cause
The portion of the variability in a set of observations that is due to only random forces and which cannot be traced to speciic sources, such as operators, materials, or equipment. Also called a common cause.

Chisquare (or chisquared) random variable
A continuous random variable that results from the sum of squares of independent standard normal random variables. It is a special case of a gamma 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

Contrast
A linear function of treatment means with coeficients that total zero. A contrast is a summary of treatment means that is of interest in an experiment.

Control limits
See Control chart.

Covariance
A measure of association between two random variables obtained as the expected value of the product of the two random variables around their means; that is, Cov(X Y, ) [( )( )] =? ? E X Y ? ? X Y .

Covariance matrix
A square matrix that contains the variances and covariances among a set of random variables, say, X1 , X X 2 k , , … . The main diagonal elements of the matrix are the variances of the random variables and the offdiagonal elements are the covariances between Xi and Xj . Also called the variancecovariance matrix. When the random variables are standardized to have unit variances, the covariance matrix becomes the correlation matrix.

Critical region
In hypothesis testing, this is the portion of the sample space of a test statistic that will lead to rejection of the null hypothesis.

Discrete distribution
A probability distribution for a discrete random variable

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

Distribution function
Another name for a cumulative distribution function.

Eficiency
A concept in parameter estimation that uses the variances of different estimators; essentially, an estimator is more eficient than another estimator if it has smaller variance. When estimators are biased, the concept requires modiication.

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

Estimator (or point estimator)
A procedure for producing an estimate of a parameter of interest. An estimator is usually a function of only sample data values, and when these data values are available, it results in an estimate of the parameter of interest.

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

Fisher’s least signiicant difference (LSD) method
A series of pairwise hypothesis tests of treatment means in an experiment to determine which means differ.

Generator
Effects in a fractional factorial experiment that are used to construct the experimental tests used in the experiment. The generators also deine the aliases.