 34.1: For Exercises 16, identify the fivenumber summary and find the int...
 34.2: For Exercises 16, identify the fivenumber summary and find the int...
 34.3: For Exercises 16, identify the fivenumber summary and find the int...
 34.4: For Exercises 16, identify the fivenumber summary and find the int...
 34.5: For Exercises 16, identify the fivenumber summary and find the int...
 34.6: For Exercises 16, identify the fivenumber summary and find the int...
 34.7: For Exercises 710, use each boxplot to identify the maximum value, ...
 34.8: For Exercises 710, use each boxplot to identify the maximum value, ...
 34.9: For Exercises 710, use each boxplot to identify the maximum value, ...
 34.10: For Exercises 710, use each boxplot to identify the maximum value, ...
 34.11: Earned Run AverageNumber of Games Pitched Construct a boxplot for t...
 34.12: Innings Pitched Construct a boxplot for the following data which re...
 34.13: Teacher Strikes The number of teacher strikes over a 13year period...
 34.14: Visitors Who Travel to Foreign Countries Construct a boxplot for th...
 34.15: Tornadoes in 2005 Construct a boxplot and comment on its skewness f...
 34.16: Size of Dams These data represent the volumes in cubic yards of the...
 34.17: Number of Tornadoes A fourmonth record for the number of tornadoes...
 34.18: Unhealthful Smog Days A modified boxplot can be drawn by placing a ...
Solutions for Chapter 34: Exploratory Data Analysis
Full solutions for Elementary Statistics: A Step by Step Approach 8th ed.  8th Edition
ISBN: 9780073386102
Solutions for Chapter 34: Exploratory Data Analysis
Get Full SolutionsThis textbook survival guide was created for the textbook: Elementary Statistics: A Step by Step Approach 8th ed., edition: 8. Chapter 34: Exploratory Data Analysis includes 18 full stepbystep solutions. Elementary Statistics: A Step by Step Approach 8th ed. was written by Patricia and is associated to the ISBN: 9780073386102. Since 18 problems in chapter 34: Exploratory Data Analysis have been answered, more than 11741 students have viewed full stepbystep solutions from this chapter. This expansive textbook survival guide covers the following chapters and their solutions.

2 k factorial experiment.
A full factorial experiment with k factors and all factors tested at only two levels (settings) each.

Axioms of probability
A set of rules that probabilities deined on a sample space must follow. See Probability

Block
In experimental design, a group of experimental units or material that is relatively homogeneous. The purpose of dividing experimental units into blocks is to produce an experimental design wherein variability within blocks is smaller than variability between blocks. This allows the factors of interest to be compared in an environment that has less variability than in an unblocked experiment.

Causal variable
When y fx = ( ) and y is considered to be caused by x, x is sometimes called a causal variable

Central composite design (CCD)
A secondorder response surface design in k variables consisting of a twolevel factorial, 2k axial runs, and one or more center points. The twolevel factorial portion of a CCD can be a fractional factorial design when k is large. The CCD is the most widely used design for itting a secondorder model.

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.

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.

Components of variance
The individual components of the total variance that are attributable to speciic sources. This usually refers to the individual variance components arising from a random or mixed model analysis of variance.

Conditional variance.
The variance of the conditional probability distribution of a random variable.

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 .

Covariance matrix
A square matrix that contains the variances and covariances among a set of random variables, say, X1 , X X 2 k , , … . The main diagonal elements of the matrix are the variances of the random variables and the offdiagonal elements are the covariances between Xi and Xj . Also called the variancecovariance matrix. When the random variables are standardized to have unit variances, the covariance matrix becomes the correlation matrix.

Crossed factors
Another name for factors that are arranged in a factorial experiment.

Curvilinear regression
An expression sometimes used for nonlinear regression models or polynomial regression models.

Decision interval
A parameter in a tabular CUSUM algorithm that is determined from a tradeoff between false alarms and the detection of assignable causes.

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

Degrees of freedom.
The number of independent comparisons that can be made among the elements of a sample. The term is analogous to the number of degrees of freedom for an object in a dynamic system, which is the number of independent coordinates required to determine the motion of the object.

Density function
Another name for a probability density function

Event
A subset of a sample space.

Exponential random variable
A series of tests in which changes are made to the system under study

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.
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