- 14.2.1 BSC: Product SpecsTable 14-1 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
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.
A distribution with two modes
Any test of signiicance based on the chi-square distribution. The most common chi-square 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 .
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
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 off-diagonal elements rij are the correlations between Xi and Xj .
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 off-diagonal elements are the covariances between Xi and Xj . Also called the variance-covariance matrix. When the random variables are standardized to have unit variances, the covariance matrix becomes the correlation matrix.
A parameter in a tabular CUSUM algorithm that is determined from a trade-off between false alarms and the detection of assignable causes.
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.
A probability distribution for a discrete random variable
The amount of variability exhibited by data
A model to relate a response to one or more regressors or factors that is developed from data obtained from the system.
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.
The expected value of a random variable X is its long-term 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 pair-wise hypothesis tests of treatment means in an experiment to determine which means differ.
An arrangement of the frequencies of observations in a sample or population according to the values that the observations take on
A function that is used to determine properties of the probability distribution of a random variable. See Moment-generating function