- 3.2.1: Statistical Literacy Which averagemean, median, or modeis associate...
- 3.2.2: Statistical Literacy What is the relationship between the variance ...
- 3.2.3: Statistical Literacy When computing the standard deviation, does it...
- 3.2.4: Statistical Literacy What symbol is used for the standard deviation...
- 3.2.5: Critical Thinking Each of the following data sets has a mean of x 1...
- 3.2.6: Critical Thinking: Data Transformation In this problem, we explore ...
- 3.2.7: he defining formula, the computation formula, or a calculator to co...
- 3.2.8: Critical Thinking: Outliers One indicator of an outlier is that an ...
- 3.2.9: General Concepts: Variance, Standard Deviation Given the sample dat...
- 3.2.10: Investing: Stocks and Bonds Do bonds reduce the overall risk of an ...
- 3.2.11: 90% breaking strength. Note: These data are also available for down...
- 3.2.12: Archaeology: Ireland The Hill of Tara in Ireland is a place of grea...
- 3.2.13: Wildlife: Mallard Ducks and Canada Geese For mallard ducks and Cana...
- 3.2.14: Investing: Socially Responsible Mutual Funds Pax World Balanced is ...
- 3.2.15: Medical: Physician Visits In some reports, the mean and coefficient...
- 3.2.16: Grouped Data: Anthropology What was the age distribution of prehist...
- 3.2.17: Grouped Data: Shoplifting What is the age distribution of adult sho...
- 3.2.18: Grouped Data: Hours of Sleep per Day Alexander Borbely is a profess...
- 3.2.19: Grouped Data: Business Administration What are the big corporations...
- 3.2.20: Expand Your Knowledge: Moving Averages You do not need a lot of mon...
- 3.2.21: Brain Teaser: Sum of Squares If you like mathematical puzzles or lo...
Solutions for Chapter 3.2: Averages and Variation
Full solutions for Understandable Statistics | 9th 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
In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.
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
A tabular arrangement expressing the assignment of members of a data set according to two or more categories or classiication criteria
Continuous random variable.
A random variable with an interval (either inite or ininite) of real numbers for its range.
Another name for factors that are arranged in a factorial experiment.
Cumulative distribution function
For a random variable X, the function of X deined as PX x ( ) ? that is used to specify the probability distribution.
Used in statistical quality control, a defect is a particular type of nonconformance to speciications or requirements. Sometimes defects are classiied into types, such as appearance defects and functional defects.
Deming’s 14 points.
A management philosophy promoted by W. Edwards Deming that emphasizes the importance of change and quality
Another name for a probability density function
The response variable in regression or a designed experiment.
An experiment in which the tests are planned in advance and the plans usually incorporate statistical models. See Experiment
Discrete random variable
A random variable with a inite (or countably ininite) range.
Estimate (or point estimate)
The numerical value of a point estimator.
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.
Exponential random variable
A series of tests in which changes are made to the system under study
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.
Fixed factor (or fixed effect).
In analysis of variance, a factor or effect is considered ixed if all the levels of interest for that factor are included in the experiment. Conclusions are then valid about this set of levels only, although when the factor is quantitative, it is customary to it a model to the data for interpolating between these levels.
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.
Fraction defective control chart
See P chart