Elementary Statistics: A Step By Step Approach 9th Edition - Solutions by Chapter

In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.

Used to compare hypothesis tests. The ARE of one test relative to another is the limiting ratio of the sample sizes necessary to obtain identical error probabilities for the two procedures.

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.

Unbiased estimator.

A graphical display of data in which the box contains the middle 50% of the data (the interquartile range) with the median dividing it, and the whiskers extend to the smallest and largest values (or some deined lower and upper limits).

An attribute control chart that plots the total number of defects per unit in a subgroup. Similar to a defects-per-unit or U chart.

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

A probability distribution for a continuous random variable.

A random variable with an interval (either inite or ininite) of real numbers for its range.

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

See Control chart.

Another name for factors that are arranged in a factorial experiment.

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

Another name for a probability density function

A discrete random variable with a inite range and constant probability mass function.

A model to relate a response to one or more regressors or factors that is developed from data obtained from the system.

A property of a collection of events that indicates that their union equals the sample space.

A term in the formula for the variance of a hypergeometric random variable.

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.

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