 13.1: ?Find the critical value from the Studentized range distribution fo...
 13.2: ?Suppose that there is sufficient evidence to reject H0: m1 = m2 = ...
 13.3: ?Soil Testing A researcher took water samples from a stream running...
 13.4: ?Grading Timber Desiring to grade timber mechanically, engineers st...
 13.5: ?Seating Choice versus GPA In a study of students at Lewis & Clark ...
 13.6: ?Catapults Four different catapult designs are being tested for the...
 13.7: ?Defensive Driving An investigator for the state police wants to de...
 13.1: ?Many fastfood restaurants use automatic softdrink dispensing mac...
 13.2: ?Lighting Effect on Plant Growth Which type of light results in the...
 13.3: ?A rock climber wants to test the tensile strength of three differe...
 13.4: ?A manufacturing researcher wants to determine if age or gender sig...
 13.5: ?The following table summarizes the sample mean earnings, in thousa...
Solutions for Chapter 13: Comparing Three or More Means
Full solutions for Statistics: Informed Decisions Using Data  5th Edition
ISBN: 9780134133539
Solutions for Chapter 13: Comparing Three or More Means
Get Full SolutionsSummary of Chapter 13: Comparing Three or More Means
Comparing Three or More Means (OneWay Analysis of Variance). Post Hoc Tests on OneWay Analysis of Variance. The Randomized Complete Block Design. TwoWay Analysis of Variance.
This textbook survival guide was created for the textbook: Statistics: Informed Decisions Using Data, edition: 5. Statistics: Informed Decisions Using Data was written by and is associated to the ISBN: 9780134133539. Since 12 problems in chapter 13: Comparing Three or More Means have been answered, more than 28679 students have viewed full stepbystep solutions from this chapter. This expansive textbook survival guide covers the following chapters and their solutions. Chapter 13: Comparing Three or More Means includes 12 full stepbystep solutions.

`error (or `risk)
In hypothesis testing, an error incurred by rejecting a null hypothesis when it is actually true (also called a type I error).

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).

Alias
In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.

All possible (subsets) regressions
A method of variable selection in regression that examines all possible subsets of the candidate regressor variables. Eficient computer algorithms have been developed for implementing all possible regressions

Bernoulli trials
Sequences of independent trials with only two outcomes, generally called “success” and “failure,” in which the probability of success remains constant.

Bivariate normal distribution
The joint distribution of two normal random variables

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.

Chisquare test
Any test of signiicance based on the chisquare distribution. The most common chisquare tests are (1) testing hypotheses about the variance or standard deviation of a normal distribution and (2) testing goodness of it of a theoretical distribution to sample data

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

Conditional probability mass function
The probability mass function of the conditional probability distribution of a discrete random variable.

Continuity correction.
A correction factor used to improve the approximation to binomial probabilities from a normal distribution.

Control chart
A graphical display used to monitor a process. It usually consists of a horizontal center line corresponding to the incontrol value of the parameter that is being monitored and lower and upper control limits. The control limits are determined by statistical criteria and are not arbitrary, nor are they related to speciication limits. If sample points fall within the control limits, the process is said to be incontrol, or free from assignable causes. Points beyond the control limits indicate an outofcontrol process; that is, assignable causes are likely present. This signals the need to ind and remove the assignable causes.

Correlation
In the most general usage, a measure of the interdependence among data. The concept may include more than two variables. The term is most commonly used in a narrow sense to express the relationship between quantitative variables or ranks.

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 .

Dependent variable
The response variable in regression or a designed experiment.

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

Error mean square
The error sum of squares divided by its number of degrees of freedom.

Firstorder model
A model that contains only irstorder terms. For example, the irstorder response surface model in two variables is y xx = + ?? ? ? 0 11 2 2 + + . A irstorder model is also called a main effects 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.

Generator
Effects in a fractional factorial experiment that are used to construct the experimental tests used in the experiment. The generators also deine the aliases.