 14.2.1 BSC: Product SpecsTable 141 lists process data consisting of the weight...
 14.2.2 BSC: Notation and TerminologyConsider process data consisting of the amo...
 14.2.3 BSC: Control ChartsWhen using control charts to monitor a process, why i...
 14.2.4 BSC: Lake Mead ElevationsShown below are an chart (top) and anRchart (bo...
 14.2.5 BSC: efer to the axial loads (pounds) of aluminum Pepsi cans that are 0....
 14.2.6 BSC: efer to the axial loads (pounds) of aluminum Pepsi cans that are 0....
 14.2.7 BSC: efer to the axial loads (pounds) of aluminum Pepsi cans that are 0....
 14.2.8 BSC: efer to the axial loads (pounds) of aluminum Pepsi cans that are 0....
 14.2.9 BSC: efer to the following annual temperatures (°C) of the earth for eac...
 14.2.10 BSC: efer to the following annual temperatures (°C) of the earth for eac...
 14.2.11 BSC: efer to the following annual temperatures (°C) of the earth for eac...
 14.2.12 BSC: efer to the following annual temperatures (°C) of the earth for eac...
 14.2.13 BSC: sChartIn this section we described control charts forRandxbased on ...
 14.2.14 BSC: Chart Based on Standard DeviationsAn chart based on standard deviat...
Solutions for Chapter 14.2: Elementary Statistics 12th Edition
Full solutions for Elementary Statistics  12th Edition
ISBN: 9780321836960
Solutions for Chapter 14.2
Get Full SolutionsChapter 14.2 includes 14 full stepbystep solutions. Elementary Statistics was written by and is associated to the ISBN: 9780321836960. This expansive textbook survival guide covers the following chapters and their solutions. This textbook survival guide was created for the textbook: Elementary Statistics, edition: 12. Since 14 problems in chapter 14.2 have been answered, more than 213534 students have viewed full stepbystep solutions from this chapter.

Addition rule
A formula used to determine the probability of the union of two (or more) events from the probabilities of the events and their intersection(s).

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

Bimodal distribution.
A distribution with two modes

Chisquare test
Any test of signiicance based on the chisquare distribution. The most common chisquare tests are (1) testing hypotheses about the variance or standard deviation of a normal distribution and (2) testing goodness of it of a theoretical distribution to sample data

Coeficient of determination
See R 2 .

Conditional mean
The mean of the conditional probability distribution of a 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

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.

Decision interval
A parameter in a tabular CUSUM algorithm that is determined from a tradeoff between false alarms and the detection of assignable causes.

Defect
Used in statistical quality control, a defect is a particular type of nonconformance to speciications or requirements. Sometimes defects are classiied into types, such as appearance defects and functional defects.

Discrete distribution
A probability distribution for a discrete random variable

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 variance
The variance of an error term or component in a model.

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.

Expected value
The expected value of a random variable X is its longterm average or mean value. In the continuous case, the expected value of X is E X xf x dx ( ) = ?? ( ) ? ? where f ( ) x is the density function of the random variable X.

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

Frequency distribution
An arrangement of the frequencies of observations in a sample or population according to the values that the observations take on

Generating function
A function that is used to determine properties of the probability distribution of a random variable. See Momentgenerating function