 14.1.1: What conclusion would be appropriate for an uppertailedchisquared ...
 14.1.2: The article Racial Stereotypes in Childrens TelevisionCommercials (...
 14.1.3: It is hypothesized that when homing pigeons are disorientedin a cer...
 14.1.4: The article Application of Methods for CentralStatistical Monitorin...
 14.1.5: An informationretrieval system has ten storage locations.Informati...
 14.1.6: The article The Gap Between Wine Expert Ratingsand Consumer Prefere...
 14.1.7: Criminologists have long debated whether there is a relationshipbet...
 14.1.8: The article Psychiatric and Alcoholic AdmissionsDo Not Occur Dispro...
 14.1.9: The response time of a computer system to a request fora certain ty...
 14.1.10: a. Show that another expression for the chisquaredstatistic isx2 5...
 14.1.11: a. Having obtained a random sample from a population,you wish to us...
Solutions for Chapter 14.1: GoodnessofFit Tests When Category Probabilities Are Completely Specified
Full solutions for Probability and Statistics for Engineering and the Sciences  9th Edition
ISBN: 9781305251809
Solutions for Chapter 14.1: GoodnessofFit Tests When Category Probabilities Are Completely Specified
Get Full SolutionsThis expansive textbook survival guide covers the following chapters and their solutions. Chapter 14.1: GoodnessofFit Tests When Category Probabilities Are Completely Specified includes 11 full stepbystep solutions. Since 11 problems in chapter 14.1: GoodnessofFit Tests When Category Probabilities Are Completely Specified have been answered, more than 82143 students have viewed full stepbystep solutions from this chapter. This textbook survival guide was created for the textbook: Probability and Statistics for Engineering and the Sciences, edition: 9. Probability and Statistics for Engineering and the Sciences was written by and is associated to the ISBN: 9781305251809.

Assignable cause
The portion of the variability in a set of observations that can be traced to speciic causes, such as operators, materials, or equipment. Also called a special cause.

Attribute control chart
Any control chart for a discrete random variable. See Variables control chart.

Average
See Arithmetic mean.

Axioms of probability
A set of rules that probabilities deined on a sample space must follow. See Probability

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

Causal variable
When y fx = ( ) and y is considered to be caused by x, x is sometimes called a causal variable

Conditional probability mass function
The probability mass function of the conditional probability distribution of a discrete random variable.

Conditional variance.
The variance of the conditional probability distribution of a random variable.

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

Correlation matrix
A square matrix that contains the correlations among a set of random variables, say, XX X 1 2 k , ,…, . The main diagonal elements of the matrix are unity and the offdiagonal elements rij are the correlations between Xi and Xj .

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.

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

Distribution function
Another name for a cumulative distribution function.

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

False alarm
A signal from a control chart when no assignable causes are present

Firstorder model
A model that contains only irstorder terms. For example, the irstorder response surface model in two variables is y xx = + ?? ? ? 0 11 2 2 + + . A irstorder model is also called a main effects 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.

Gamma random variable
A random variable that generalizes an Erlang random variable to noninteger values of the parameter r

Goodness of fit
In general, the agreement of a set of observed values and a set of theoretical values that depend on some hypothesis. The term is often used in itting a theoretical distribution to a set of observations.