- 10.R10.1: Which procedure? For each of the following settings, say which infe...
- 10.R10.2: Seat belt use The proportion of drivers who use seat belts depends ...
- 10.R10.3: Expensive ads Consumers who think a products advertising is expensi...
- 10.R10.4: Men versus women The National Assessment of Educational Progress (N...
- 10.R10.5: Treating AIDS The drug AZT was the first drug that seemed effective...
- 10.R10.6: Conditions Explain why it is not safe to use the methods of this ch...
- 10.R10.7: Each day I am getting better in math A subliminal message is below ...
- 10.R10.8: Golf club repairs The Ping Company makes custom-built golf clubs an...
- 10.R10.9: Reducing nonresponse? Telephone surveys often have high rates of no...
- 10.R10.10: Students self-concept Here is SAS output for a study of the self-co...
Solutions for Chapter 10: The Practice of Statistics 4th Edition
Full solutions for The Practice of Statistics | 4th Edition
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
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).
All possible (subsets) regressions
A method of variable selection in regression that examines all possible subsets of the candidate regressor variables. Eficient computer algorithms have been developed for implementing all possible regressions
The arithmetic mean of a set of numbers x1 , x2 ,…, xn is their sum divided by the number of observations, or ( / )1 1 n xi t n ? = . The arithmetic mean is usually denoted by x , and is often called the average
The probability of an event given that the random experiment produces an outcome in another event.
The variance of the conditional probability distribution of a random variable.
A method to derive the probability density function of the sum of two independent random variables from an integral (or sum) of probability density (or mass) functions.
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 measure of association between two random variables obtained as the expected value of the product of the two random variables around their means; that is, Cov(X Y, ) [( )( )] =? ? E X Y ? ? X Y .
A parameter in a tabular CUSUM algorithm that is determined from a trade-off between false alarms and the detection of assignable causes.
Deming’s 14 points.
A management philosophy promoted by W. Edwards Deming that emphasizes the importance of change and quality
An experiment in which the tests are planned in advance and the plans usually incorporate statistical models. See Experiment
A probability distribution for a discrete random variable
Discrete uniform random variable
A discrete random variable with a inite range and constant probability mass function.
Erlang random variable
A continuous random variable that is the sum of a ixed number of independent, exponential random variables.
A type of experimental design in which every level of one factor is tested in combination with every level of another factor. In general, in a factorial experiment, all possible combinations of factor levels are tested.
A signal from a control chart when no assignable causes are present
Fraction defective control chart
See P chart
Gamma random variable
A random variable that generalizes an Erlang random variable to noninteger values of the parameter r