- 2.R2.1: refer to the following setting. According to the National Center fo...
- 2.R2.2: refer to the following setting. According to the National Center fo...
- 2.R2.3: Computer use Mrs. Causey asked her students how much time they had ...
- 2.R2.4: Aussie, Aussie, Aussie A group of Australian students were asked to...
- 2.R2.5: What the mean means The figure below is a density curve. Trace the ...
- 2.R2.6: Horse pregnancies Bigger animals tend to carry their young longer b...
- 2.R2.7: Standard Normal areas Use Table A to find the proportion of observa...
- 2.R2.8: Working backward (a) Find the number z at the 80th percentile of a ...
- 2.R2.9: Low-birth-weight babies Researchers in Norway analyzed data on the ...
- 2.R2.10: Grading managers Many companies grade on a bell curve to compare th...
- 2.R2.11: Fruit fly thorax lengths Here are the lengths in millimeters of the...
Solutions for Chapter 2: The Practice of Statistics 4th Edition
Full solutions for The Practice of Statistics | 4th Edition
2 k factorial experiment.
A full factorial experiment with k factors and all factors tested at only two levels (settings) each.
In statistical hypothesis testing, this is a hypothesis other than the one that is being tested. The alternative hypothesis contains feasible conditions, whereas the null hypothesis speciies conditions that are under test
Average run length, or ARL
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.
Data consisting of counts or observations that can be classiied into categories. The categories may be descriptive.
An experiment in which the treatments (experimental conditions) that are to be studied are included in the experiment. The data from the experiment are used to evaluate the treatments.
The variance of the conditional probability distribution of a random variable.
When a factorial experiment is run in blocks and the blocks are too small to contain a complete replicate of the experiment, one can run a fraction of the replicate in each block, but this results in losing information on some effects. These effects are linked with or confounded with the blocks. In general, when two factors are varied such that their individual effects cannot be determined separately, their effects are said to be confounded.
The probability 1?a associated with a conidence interval expressing the probability that the stated interval will contain the true parameter value.
Another term for the conidence coeficient.
A correction factor used to improve the approximation to binomial probabilities from a normal distribution.
Formulas used to determine the number of elements in sample spaces and events.
Cumulative normal distribution function
The cumulative distribution of the standard normal distribution, often denoted as ?( ) x and tabulated in Appendix Table II.
A parameter in a tabular CUSUM algorithm that is determined from a trade-off between false alarms and the detection of assignable causes.
Degrees of freedom.
The number of independent comparisons that can be made among the elements of a sample. The term is analogous to the number of degrees of freedom for an object in a dynamic system, which is the number of independent coordinates required to determine the motion of the object.
A subset of effects in a fractional factorial design that deine the aliases in the design.
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.
Estimate (or point estimate)
The numerical value of a point estimator.
Finite population correction factor
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.