 12.1: Lengths of Various Types of Bridges The data represent the lengths ...
 12.2: Number of State Parks The numbers of state parks found in selected ...
 12.3: Carbohydrates in Cereals The number of carbohydrates per serving in...
 12.4: Grams of Fat per Serving of Pizza The number of grams of fat per se...
 12.5: Iron Content of Foods and Drinks The iron content in three differen...
 12.6: Temperatures in January The average January high temperatures (in d...
 12.7: School Incidents Involving Police Calls A researcher wishes to see ...
 12.8: Review Preparation for Statistics A statistics instructor wanted to...
 12.9: Effects of Different Types of Diets A medical researcher wishes to ...
 12.1: From the Data Bank, select a random sample of subjects, and test th...
 12.2: Repeat Exercise 2 for the mean IQs of the various educational level...
 12.3: Using the Data Bank, randomly select 12 subjects and randomly assig...
 12.1: In analysis of variance, the null hypothesis should be rejected onl...
 12.2: The F test does not use the concept of degrees of freedom
 12.3: When the F test value is close to 1, the null hypothesis should be ...
 12.4: The Tukey test is generally more powerful than the Scheff test for ...
 12.5: Analysis of variance uses the test. a. z c. 2 b. t d. F
 12.6: The null hypothesis in ANOVA is that all the means are . a. Equal c...
 12.7: When you conduct an F test, estimates of the population variance ar...
 12.8: If the null hypothesis is rejected in ANOVA, you can use the test t...
 12.9: When three or more means are compared, you use the technique.
 12.10: If the null hypothesis is rejected in ANOVA, the test should be use...
 12.11: In a twoway ANOVA, you can test main hypotheses and one interactiv...
 12.12: Voters in Presidential Elections In a recent Presidential election,...
 12.13: Ages of LateNight TV Talk Show Viewers A media researcher wishes t...
 12.14: Prices of Athletic Shoes Prices (in dollars) of mens, womens, and c...
 12.15: Birth Weights The birth weights of randomly selected newborns at th...
 12.16: Alumni Gift Solicitation Several students volunteered for an alumni...
 12.17: Diets and Exercise Programs A researcher conducted a study of two d...
 12.1: Adult Children of Alcoholics Shown here are the abstract and two ta...
 12.2: Adult Children of Alcoholics Shown here are the abstract and two ta...
 12.3: Adult Children of Alcoholics Shown here are the abstract and two ta...
 12.4: Adult Children of Alcoholics Shown here are the abstract and two ta...
 12.5: Adult Children of Alcoholics Shown here are the abstract and two ta...
 12.6: Adult Children of Alcoholics Shown here are the abstract and two ta...
 12.7: Adult Children of Alcoholics Shown here are the abstract and two ta...
 12.8: Adult Children of Alcoholics Shown here are the abstract and two ta...
 12.9: Adult Children of Alcoholics Shown here are the abstract and two ta...
 12.10: Adult Children of Alcoholics Shown here are the abstract and two ta...
 12.11: Adult Children of Alcoholics Shown here are the abstract and two ta...
 12.1: Use a significance level of 0.05 for all tests below.Business and F...
 12.2: Use a significance level of 0.05 for all tests below.Sports and Lei...
 12.3: Use a significance level of 0.05 for all tests below.Technology Use...
 12.4: Use a significance level of 0.05 for all tests below.Health and Wel...
 12.5: Use a significance level of 0.05 for all tests below.Politics and E...
 12.6: Use a significance level of 0.05 for all tests below.Your Class Spl...
Solutions for Chapter 12: Analysis of Variance
Full solutions for Elementary Statistics: A Step by Step Approach  7th Edition
ISBN: 9780073534978
Solutions for Chapter 12: Analysis of Variance
Get Full SolutionsThis textbook survival guide was created for the textbook: Elementary Statistics: A Step by Step Approach, edition: 7. Chapter 12: Analysis of Variance includes 46 full stepbystep solutions. Elementary Statistics: A Step by Step Approach was written by Patricia and is associated to the ISBN: 9780073534978. This expansive textbook survival guide covers the following chapters and their solutions. Since 46 problems in chapter 12: Analysis of Variance have been answered, more than 6364 students have viewed full stepbystep solutions from this chapter.

Adjusted R 2
A variation of the R 2 statistic that compensates for the number of parameters in a regression model. Essentially, the adjustment is a penalty for increasing the number of parameters in the model. Alias. In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.

Average
See Arithmetic mean.

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.

Central tendency
The tendency of data to cluster around some value. Central tendency is usually expressed by a measure of location such as the mean, median, or mode.

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.

Combination.
A subset selected without replacement from a set used to determine the number of outcomes in events and sample spaces.

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

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

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.

Convolution
A method to derive the probability density function of the sum of two independent random variables from an integral (or sum) of probability density (or mass) functions.

Correlation matrix
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 offdiagonal elements rij are the correlations between Xi and Xj .

Covariance
A measure of association between two random variables obtained as the expected value of the product of the two random variables around their means; that is, Cov(X Y, ) [( )( )] =? ? E X Y ? ? X Y .

Defect concentration diagram
A quality tool that graphically shows the location of defects on a part or in a process.

Density function
Another name for a probability density function

Eficiency
A concept in parameter estimation that uses the variances of different estimators; essentially, an estimator is more eficient than another estimator if it has smaller variance. When estimators are biased, the concept requires modiication.

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

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

Error variance
The variance of an error term or component in a model.

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.

False alarm
A signal from a control chart when no assignable causes are present
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