 4.R4.1: Ontario Health Survey The Ministry of Health in the province of Ont...
 4.R4.2: Bad sampling A large high school wants to gather student opinion ab...
 4.R4.3: Drug testing A baseball team regularly conducts random drug tests o...
 4.R4.4: Polling the faculty A researcher wants to study the attitudes of co...
 4.R4.5: Been to the movies? An opinion poll calls 2000 ran domly chosen res...
 4.R4.6: Are anesthetics safe? The National Halothane Study was a major inve...
 4.R4.7: Ugly fries Few people want to eat discolored french fries. Potatoes...
 4.R4.8: Dont catch a cold! A recent study of 1000 students at the Universit...
 4.R4.9: An herb for depression? Does the herb SaintJohnswort relieve major...
 4.R4.10: How long did I work? A psychologist wants to know if the difficulty...
 4.R4.11: * Deceiving subjects Students sign up to be subjects in a psycholog...
 4.T4.1: When we take a census, we attempt to collect data from (a) a strati...
 4.T4.2: You want to take a simple random sample (SRS) of 50 of the 816 stud...
 4.T4.3: A study of treatments for angina (pain due to low blood supply to t...
 4.T4.4: Tonya wanted to estimate the average amount of time that students a...
 4.T4.5: Consider an experiment to investigate the effectiveness of differen...
 4.T4.6: The most important advantage of experiments over observational stud...
 4.T4.7: A TV station wishes to obtain information on the TV viewing habits ...
 4.T4.8: Bias in a sampling method is (a) any difference between the sample ...
 4.T4.9: You wonder if TV ads are more effective when they are longer or rep...
 4.T4.10: A researcher wishes to compare the effects of two fertilizers on th...
 4.T4.11: You want to know the opinions of American high school teachers on t...
 4.T4.12: Section II: Free Response Show all your work. Indicate clearly the ...
 4.T4.13: Section II: Free Response Show all your work. Indicate clearly the ...
 4.T4.14: Section II: Free Response Show all your work. Indicate clearly the ...
 4.AP1.1: Section I: Multiple Choice Choose the best answer for Questions AP1...
 4.AP1.2: Section I: Multiple Choice Choose the best answer for Questions AP1...
 4.AP1.3: Section I: Multiple Choice Choose the best answer for Questions AP1...
 4.AP1.4: Section I: Multiple Choice Choose the best answer for Questions AP1...
 4.AP1.5: Section I: Multiple Choice Choose the best answer for Questions AP1...
 4.AP1.6: Section I: Multiple Choice Choose the best answer for Questions AP1...
 4.AP1.7: Section I: Multiple Choice Choose the best answer for Questions AP1...
 4.AP1.8: Section I: Multiple Choice Choose the best answer for Questions AP1...
 4.AP1.9: Section I: Multiple Choice Choose the best answer for Questions AP1...
 4.AP1.10: Section I: Multiple Choice Choose the best answer for Questions AP1...
 4.AP1.11: Section I: Multiple Choice Choose the best answer for Questions AP1...
 4.AP1.12: Section I: Multiple Choice Choose the best answer for Questions AP1...
 4.AP1.13: Section I: Multiple Choice Choose the best answer for Questions AP1...
 4.AP1.14: Section I: Multiple Choice Choose the best answer for Questions AP1...
 4.AP1.15: Section II: Free Response Show all your work. Indicate clearly the ...
 4.AP1.16: Section II: Free Response Show all your work. Indicate clearly the ...
 4.AP1.17: Section II: Free Response Show all your work. Indicate clearly the ...
Solutions for Chapter 4: Designing Studies
Full solutions for The Practice of Statistics  5th Edition
ISBN: 9781464108730
Solutions for Chapter 4: Designing Studies
Get Full SolutionsChapter 4: Designing Studies includes 42 full stepbystep solutions. Since 42 problems in chapter 4: Designing Studies have been answered, more than 34096 students have viewed full stepbystep solutions from this chapter. This textbook survival guide was created for the textbook: The Practice of Statistics, edition: 5. The Practice of Statistics was written by and is associated to the ISBN: 9781464108730. This expansive textbook survival guide covers the following chapters and their solutions.

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

aerror (or arisk)
In hypothesis testing, an error incurred by failing to reject a null hypothesis when it is actually false (also called a type II error).

Addition rule
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).

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

Backward elimination
A method of variable selection in regression that begins with all of the candidate regressor variables in the model and eliminates the insigniicant regressors one at a time until only signiicant regressors remain

Bimodal distribution.
A distribution with two modes

Bivariate distribution
The joint probability distribution of two random variables.

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.

Comparative experiment
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.

Conditional probability distribution
The distribution of a random variable given that the random experiment produces an outcome in an event. The given event might specify values for one or more other random variables

Contingency table.
A tabular arrangement expressing the assignment of members of a data set according to two or more categories or classiication criteria

Control limits
See Control chart.

Designed experiment
An experiment in which the tests are planned in advance and the plans usually incorporate statistical models. See Experiment

Enumerative study
A study in which a sample from a population is used to make inference to the population. See Analytic study

Estimate (or point estimate)
The numerical value of a point estimator.

Experiment
A series of tests in which changes are made to the system under study

Ftest
Any test of signiicance involving the F distribution. The most common Ftests are (1) testing hypotheses about the variances or standard deviations of two independent normal distributions, (2) testing hypotheses about treatment means or variance components in the analysis of variance, and (3) testing signiicance of regression or tests on subsets of parameters in a regression 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.

Geometric mean.
The geometric mean of a set of n positive data values is the nth root of the product of the data values; that is, g x i n i n = ( ) = / w 1 1 .

Hat matrix.
In multiple regression, the matrix H XXX X = ( ) ? ? 1 . This a projection matrix that maps the vector of observed response values into a vector of itted values by yˆ = = X X X X y Hy ( ) ? ? ?1 .