 12.6.31: What diagnostic plot can you use to determinewhether the data satis...
 12.6.32: What diagnostic plot can you use to determinewhether the incorrect ...
 12.6.33: What diagnostic plot can you use to determinewhether the assumption...
 12.6.34: Refer to the data in Exercise 12.7. The normalprobability plot and ...
 12.6.35: Chirping Crickets Refer to Exercise 12.23,in which the number of ch...
 12.6.36: Professor Asimov, again Refer to Exercise12.9, in which the number ...
 12.6.37: Laptops and Learning, again Refer to thedata given in Exercise 12.2...
 12.6.38: How to Choose a TV In Exercise3.19, Consumer Reports6 gave the pric...
Solutions for Chapter 12.6: Diagnostic Tools for Checking the Regression Assumptions
Full solutions for Introduction to Probability and Statistics 1  14th Edition
ISBN: 9781133103752
Solutions for Chapter 12.6: Diagnostic Tools for Checking the Regression Assumptions
Get Full SolutionsIntroduction to Probability and Statistics 1 was written by and is associated to the ISBN: 9781133103752. This textbook survival guide was created for the textbook: Introduction to Probability and Statistics 1, edition: 14. Since 8 problems in chapter 12.6: Diagnostic Tools for Checking the Regression Assumptions have been answered, more than 10156 students have viewed full stepbystep solutions from this chapter. This expansive textbook survival guide covers the following chapters and their solutions. Chapter 12.6: Diagnostic Tools for Checking the Regression Assumptions includes 8 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

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.

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.

Coeficient of determination
See R 2 .

Comparative experiment
An experiment in which the treatments (experimental conditions) that are to be studied are included in the experiment. The data from the experiment are used to evaluate the treatments.

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

Conidence coeficient
The probability 1?a associated with a conidence interval expressing the probability that the stated interval will contain the true parameter value.

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

Cumulative normal distribution function
The cumulative distribution of the standard normal distribution, often denoted as ?( ) x and tabulated in Appendix Table II.

Density function
Another name for a probability density function

Dispersion
The amount of variability exhibited by data

Distribution free method(s)
Any method of inference (hypothesis testing or conidence interval construction) that does not depend on the form of the underlying distribution of the observations. Sometimes called nonparametric method(s).

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 propagation
An analysis of how the variance of the random variable that represents that output of a system depends on the variances of the inputs. A formula exists when the output is a linear function of the inputs and the formula is simpliied if the inputs are assumed to be independent.

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.

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

Fixed factor (or fixed effect).
In analysis of variance, a factor or effect is considered ixed if all the levels of interest for that factor are included in the experiment. Conclusions are then valid about this set of levels only, although when the factor is quantitative, it is customary to it a model to the data for interpolating between these levels.

Fraction defective
In statistical quality control, that portion of a number of units or the output of a process that is defective.

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.

Geometric random variable
A discrete random variable that is the number of Bernoulli trials until a success occurs.