- 8.R8.1: Conditions Martin says that the relative importance of the three co...
- 8.R8.2: Its critical Find the appropriate critical value for constructing a...
- 8.R8.3: Batteries A company that produces AA batteries tests the lifetime o...
- 8.R8.4: We love football! A recent Gallup Poll conducted telephone intervie...
- 8.R8.5: Smart kids A school counselor wants to know how smart the students ...
- 8.R8.6: Do you go to church? The Gallup Poll plans to ask a random sample o...
- 8.R8.7: Running red lights A random digit dialing telephone survey of 880 d...
- 8.R8.8: Engine parts Here are measurements (in millimeters) of a critical d...
- 8.R8.9: Good wood? A lab supply company sells pieces of Douglas fir 4 inche...
Solutions for Chapter 8: The Practice of Statistics 4th Edition
Full solutions for The Practice of Statistics | 4th Edition
In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.
Axioms of probability
A set of rules that probabilities deined on a sample space must follow. See Probability
The probability 1?a associated with a conidence interval expressing the probability that the stated interval will contain the true parameter value.
A tabular arrangement expressing the assignment of members of a data set according to two or more categories or classiication criteria
A probability distribution for a continuous random variable.
Continuous random variable.
A random variable with an interval (either inite or ininite) of real numbers for its range.
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 square matrix that contains the correlations among a set of random variables, say, XX X 1 2 k , ,…, . The main diagonal elements of the matrix are unity and the off-diagonal elements rij are the correlations between Xi and Xj .
A square matrix that contains the variances and covariances among a set of random variables, say, X1 , X X 2 k , , … . The main diagonal elements of the matrix are the variances of the random variables and the off-diagonal elements are the covariances between Xi and Xj . Also called the variance-covariance matrix. When the random variables are standardized to have unit variances, the covariance matrix becomes the correlation matrix.
In hypothesis testing, this is the portion of the sample space of a test statistic that will lead to rejection of the null hypothesis.
The value of a statistic corresponding to a stated signiicance level as determined from the sampling distribution. For example, if PZ z PZ ( )( .) . ? =? = 0 025 . 1 96 0 025, then z0 025 . = 1 9. 6 is the critical value of z at the 0.025 level of signiicance. Crossed factors. Another name for factors that are arranged in a factorial experiment.
W. Edwards Deming (1900–1993) was a leader in the use of statistical quality control.
An experiment in which the tests are planned in advance and the plans usually incorporate statistical models. See Experiment
The amount of variability exhibited by data
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.
A property of a collection of events that indicates that their union equals the sample space.
A signal from a control chart when no assignable causes are present
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.