 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: State Sites for Frogwatch Construct a boxplot for these numbers of ...
 34.14: Median Household Incomes Construct a boxplot and comment on the ske...
 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: Data Description
Full solutions for Elementary Statistics: A Step by Step Approach  7th Edition
ISBN: 9780073534978
Solutions for Chapter 34: Data Description
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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

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

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

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.

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

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

Conidence level
Another term for the conidence coeficient.

Counting techniques
Formulas used to determine the number of elements in sample spaces and events.

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.

Critical region
In hypothesis testing, this is the portion of the sample space of a test statistic that will lead to rejection of the null hypothesis.

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.

Error propagation
An analysis of how the variance of the random variable that represents that output of a system depends on the variances of the inputs. A formula exists when the output is a linear function of the inputs and the formula is simpliied if the inputs are assumed to be independent.

Error sum of squares
In analysis of variance, this is the portion of total variability that is due to the random component in the data. It is usually based on replication of observations at certain treatment combinations in the experiment. It is sometimes called the residual sum of squares, although this is really a better term to use only when the sum of squares is based on the remnants of a modelitting process and not on replication.

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

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

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

Fisher’s least signiicant difference (LSD) method
A series of pairwise hypothesis tests of treatment means in an experiment to determine which means differ.

Forward selection
A method of variable selection in regression, where variables are inserted one at a time into the model until no other variables that contribute signiicantly to the model can be found.

Fraction defective
In statistical quality control, that portion of a number of units or the output of a process that is defective.

Geometric random variable
A discrete random variable that is the number of Bernoulli trials until a success occurs.