- 12.4.1: Statistical Literacy To apply a runs test for randomness to a seque...
- 12.4.2: Statistical Literacy Suppose your data consist of a sequence of num...
- 12.4.3: Presidents: Party Affiliation For each successive presidential term...
- 12.4.4: Congress: Party Affiliation The majority party of the United States...
- 12.4.5: Cloud Seeding: Arizona Researchers experimenting with cloud seeding...
- 12.4.6: Astronomy: Earths Rotation Changes in the earths rotation are excee...
- 12.4.7: Random Walk: Stocks Many economists and financial experts claim tha...
- 12.4.8: Random Walk: Stocks Many economists and financial experts claim tha...
- 12.4.9: Civil Engineering: Soil Profiles Sand and clay studies were conduct...
- 12.4.10: Civil Engineering: Soil Profiles Sand and clay studies were conduct...
- 12.4.11: Expand Your Knowledge: Either n1 20 or n2 20 For each successive pr...
- 12.4.12: Expand Your Knowledge: Either n1 20 or n2 20 Professor Cornish stud...
Solutions for Chapter 12.4: NONPARAMETRIC STATISTICS
Full solutions for Understandable Statistics | 9th Edition
`-error (or `-risk)
In hypothesis testing, an error incurred by rejecting a null hypothesis when it is actually true (also called a type I error).
In hypothesis testing, a region in the sample space of the test statistic such that if the test statistic falls within it, the null hypothesis cannot be rejected. This terminology is used because rejection of H0 is always a strong conclusion and acceptance of H0 is generally a weak conclusion
The joint probability distribution of two random variables.
In experimental design, a group of experimental units or material that is relatively homogeneous. The purpose of dividing experimental units into blocks is to produce an experimental design wherein variability within blocks is smaller than variability between blocks. This allows the factors of interest to be compared in an environment that has less variability than in an unblocked experiment.
A horizontal line on a control chart at the value that estimates the mean of the statistic plotted on the chart. See Control chart.
Coeficient of determination
See R 2 .
Another term for the conidence coeficient.
In the most general usage, a measure of the interdependence among data. The concept may include more than two variables. The term is most commonly used in a narrow sense to express the relationship between quantitative variables or ranks.
A parameter in a tabular CUSUM algorithm that is determined from a trade-off between false alarms and the detection of assignable causes.
A subset of effects in a fractional factorial design that deine the aliases in the design.
The response variable in regression or a designed experiment.
A matrix that provides the tests that are to be conducted in an experiment.
An experiment in which the tests are planned in advance and the plans usually incorporate statistical models. See Experiment
Discrete uniform random variable
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.
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.
Estimate (or point estimate)
The numerical value of a point estimator.
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.
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.
The geometric mean of a set of n positive data values is the nth root of the product of the data values; that is, g x i n i n = ( ) = / w 1 1 .