 Chapter 9.9.1: Internet telephone calls. You can use your computer to make longdi...
 Chapter 9.9.2: Growing in the shade. Ability to grow in shade may help pines found...
 Chapter 9.9.3: Improving adolescents habits. Most American adolescents dont eat we...
 Chapter 9.9.4: Reducing unemployment. Will cash bonuses speed the return to work o...
 Chapter 9.9.5: Does ginkgo improve memory? The law allows marketers of herbs and o...
 Chapter 9.9.6: Can tea prevent cataracts? Eye cataracts are responsible for over 4...
 Chapter 9.9.7: Growing in the shade. You have 45 pine seedlings available for thee...
 Chapter 9.9.8: Conserving energy. Example 9.5 describes an experiment to learn whe...
 Chapter 9.9.9: Exercise and heart attacks. Does regular exercise reduce the risk o...
 Chapter 9.9.10: The Monday effect. Puzzling but true: stocks tend to go down on Mon...
 Chapter 9.9.11: Dealing with pain. Health care providers are giving more attention ...
 Chapter 9.9.12: Does meditation reduce anxiety? An experiment that claimed to show ...
 Chapter 9.9.13: Comparing hand strength. Is the right hand generally stronger than ...
 Chapter 9.9.14: How long did I work? A psychologist wants to know if the difficulty...
 Chapter 9.9.15: Technology for teaching statistics. The Brigham Young University st...
 Chapter 9.9.16: A study of cell phones and the risk of brain cancer looked at a gro...
 Chapter 9.9.17: What electrical changes occur in muscles as they get tired? Student...
 Chapter 9.9.18: Can changing diet reduce high blood pressure? Vegetarian diets and ...
 Chapter 9.9.19: In the experiment of the previous exercise, the 240 subjects are la...
 Chapter 9.9.20: An important response variable in the experiment described in Exerc...
 Chapter 9.9.21: A medical experiment compares an antidepression medicine with a pla...
 Chapter 9.9.22: The Community Intervention Trial for Smoking Cessation asked whethe...
 Chapter 9.9.23: To decide which community in each pair in the previous exercise sho...
 Chapter 9.9.24: A marketing class designs two videos advertising an expensive Merce...
 Chapter 9.9.25: Wine, beer, or spirits? Example 8.2 (page 191) describes a study th...
 Chapter 9.9.26: Treating breast cancer. The most common treatment for breast cancer...
 Chapter 9.9.27: Wine, beer, or spirits? You have recruited 300 adults aged 45 to 65...
 Chapter 9.9.28: Marijuana and work. How does smoking marijuana affect willingness t...
 Chapter 9.9.29: The benefits of red wine. Does red wine protect moderate drinkers f...
 Chapter 9.9.30: Response to TV ads. You decide to use a completely randomized desig...
 Chapter 9.9.31: Improving adolescents habits. Twentyfour public middle schools agr...
 Chapter 9.9.32: Relieving headaches. Doctors identify chronic tensiontype headaches...
 Chapter 9.9.33: Fabric finishing. A maker of fabric for clothing is setting up a ne...
 Chapter 9.9.34: Frappuccino light? Heres the opening of a press release from June 2...
 Chapter 9.9.35: Growing trees faster. The concentration of carbon dioxide (CO2) in ...
 Chapter 9.9.36: Athletes taking oxygen. We often see players on the sidelines of a ...
 Chapter 9.9.37: Protecting ultramarathon runners. An ultramarathon, as you might gu...
 Chapter 9.9.38: Reducing spine fractures. Fractures of the spine are common and ser...
 Chapter 9.9.39: Wine, beer, or spirits? Women as a group develop heart disease much...
 Chapter 9.9.40: Response to TV ads, continued. We can improve on the completelyrand...
 Chapter 9.9.41: Prayer and meditation. You read in a magazine that nonphysical trea...
 Chapter 9.9.42: College students. Give an example of a question about college stude...
 Chapter 9.9.43: Quick randomizing. Heres a quick and easy way to randomize. You hav...
 Chapter 9.9.44: Daytime running lights. Canada requires that cars be equipped with ...
 Chapter 9.9.45: Do antioxidants prevent cancer? People who eat lots of fruits and v...
 Chapter 9.9.46: An herb for depression? Does the herb SaintJohnswort relieve majo...
 Chapter 9.9.47: Explaining medical research. Observational studies had suggested th...
 Chapter 9.9.48: Randomization avoids bias. Suppose that the 25 evennumbered studen...
Solutions for Chapter Chapter 9: Producing Data: Experiments
Full solutions for The Basic Practice of Statistics  4th Edition
ISBN: 9780716774785
Solutions for Chapter Chapter 9: Producing Data: Experiments
Get Full SolutionsThis expansive textbook survival guide covers the following chapters and their solutions. This textbook survival guide was created for the textbook: The Basic Practice of Statistics, edition: 4. Since 48 problems in chapter Chapter 9: Producing Data: Experiments have been answered, more than 13695 students have viewed full stepbystep solutions from this chapter. The Basic Practice of Statistics was written by and is associated to the ISBN: 9780716774785. Chapter Chapter 9: Producing Data: Experiments includes 48 full stepbystep solutions.

Analysis of variance (ANOVA)
A method of decomposing the total variability in a set of observations, as measured by the sum of the squares of these observations from their average, into component sums of squares that are associated with speciic deined sources of variation

Analytic study
A study in which a sample from a population is used to make inference to a future population. Stability needs to be assumed. See Enumerative study

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.

Bimodal distribution.
A distribution with two modes

Central limit theorem
The simplest form of the central limit theorem states that the sum of n independently distributed random variables will tend to be normally distributed as n becomes large. It is a necessary and suficient condition that none of the variances of the individual random variables are large in comparison to their sum. There are more general forms of the central theorem that allow ininite variances and correlated random variables, and there is a multivariate version of the theorem.

Chance cause
The portion of the variability in a set of observations that is due to only random forces and which cannot be traced to speciic sources, such as operators, materials, or equipment. Also called a common cause.

Chisquare (or chisquared) random variable
A continuous random variable that results from the sum of squares of independent standard normal random variables. It is a special case of a gamma random variable.

Coeficient of determination
See R 2 .

Conditional probability
The probability of an event given that the random experiment produces an outcome in another event.

Confounding
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.

Consistent estimator
An estimator that converges in probability to the true value of the estimated parameter as the sample size increases.

Correction factor
A term used for the quantity ( / )( ) 1 1 2 n xi i n ? = that is subtracted from xi i n 2 ? =1 to give the corrected sum of squares deined as (/ ) ( ) 1 1 2 n xx i x i n ? = i ? . The correction factor can also be written as nx 2 .

Density function
Another name for a probability density function

Design matrix
A matrix that provides the tests that are to be conducted in an experiment.

Empirical model
A model to relate a response to one or more regressors or factors that is developed from data obtained from the system.

Erlang random variable
A continuous random variable that is the sum of a ixed number of independent, exponential random variables.

F distribution.
The distribution of the random variable deined as the ratio of two independent chisquare random variables, each divided by its number of degrees of freedom.

Frequency distribution
An arrangement of the frequencies of observations in a sample or population according to the values that the observations take on

Gaussian distribution
Another name for the normal distribution, based on the strong connection of Karl F. Gauss to the normal distribution; often used in physics and electrical engineering applications

Goodness of fit
In general, the agreement of a set of observed values and a set of theoretical values that depend on some hypothesis. The term is often used in itting a theoretical distribution to a set of observations.