- 3.3.1: Statistical Literacy Angela took a general aptitude test and scored...
- 3.3.2: Statistical Literacy One standard for admission to Redfield College...
- 3.3.3: Critical Thinking The town of Butler, Nebraska, decided to give a t...
- 3.3.4: Critical Thinking Clayton and Timothy took different sections of In...
- 3.3.5: Health Care: Nurses At Center Hospital there is some concern about ...
- 3.3.6: Health Care: Staff Another survey was done at Center Hospital to de...
- 3.3.7: Sociology: College Graduates What percentage of the general U.S. po...
- 3.3.8: Sociology: High-school Dropouts What percentage of the general U.S....
- 3.3.9: Auto Insurance: Interpret Graphs Consumer Reports rated automobile ...
- 3.3.10: Expand Your Knowledge: Outliers Some data sets include values so hi...
Solutions for Chapter 3.3: Organizing Data
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).
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.
A qualitative characteristic of an item or unit, usually arising in quality control. For example, classifying production units as defective or nondefective results in attributes data.
A method of variable selection in regression that begins with all of the candidate regressor variables in the model and eliminates the insigniicant regressors one at a time until only signiicant regressors remain
Coeficient of determination
See R 2 .
The mean of the conditional probability distribution of a random variable.
Another term for the conidence coeficient.
A correction factor used to improve the approximation to binomial probabilities from a normal distribution.
W. Edwards Deming (1900–1993) was a leader in the use of statistical quality control.
A matrix that provides the tests that are to be conducted in an experiment.
A study in which a sample from a population is used to make inference to the population. See Analytic study
Erlang random variable
A continuous random variable that is the sum of a ixed number of independent, exponential random variables.
Error of estimation
The difference between an estimated value and the true value.
Error sum of squares
In analysis of variance, this is the portion of total variability that is due to the random component in the data. It is usually based on replication of observations at certain treatment combinations in the experiment. It is sometimes called the residual sum of squares, although this is really a better term to use only when the sum of squares is based on the remnants of a model-itting process and not on replication.
The variance of an error term or component in a model.
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.
Extra sum of squares method
A method used in regression analysis to conduct a hypothesis test for the additional contribution of one or more variables to a model.
The distribution of the random variable deined as the ratio of two independent chi-square random variables, each divided by its number of degrees of freedom.
A function used in the probability density function of a gamma random variable that can be considered to extend factorials
Gamma random variable
A random variable that generalizes an Erlang random variable to noninteger values of the parameter r