 13.3.1 BSC: ?Wilcoxon SignedRanks Test for Freshman 15 The following table lis...
 13.3.2 BSC: ?Freshman 15 For the matched pairs listed in Exercise 1, identify t...
 13.3.3 BSC: ?Sign Test vs. Wilcoxon SignedRanks Test Using the data in Exerci...
 13.3.4 BSC: Efficiency of the Wilcoxon SignedRanks TestRefer to Table 132 in ...
 13.3.5 BSC: ?Using the Wilcoxon SignedRanks Test. In Exercises 5–8, refer to t...
 13.3.6 BSC: ?Using the Wilcoxon SignedRanks Test. In Exercises 5–8, refer to t...
 13.3.7 BSC: Using the Wilcoxon SignedRanks Test.Refer to the sample data for t...
 13.3.8 BSC: ?Using the Wilcoxon SignedRanks Test. In Exercises 5–8, refer to t...
 13.3.9 BSC: Appendix B Data Sets.Refer to the sample data for the given exercis...
 13.3.10 BSC: Appendix B Data Sets.Refer to the sample data for the given exercis...
 13.3.12 BB: Rank Sumsa.If we have sample paired data with 75 nonzero difference...
 13.3.1BSC: Wilcoxon SignedRanks Test for Freshman 15?The following table list...
 13.3.2BSC: Freshman 15?For the matched pairs listed in Exercise,identify the f...
 13.3.3BSC: Sign Test vs. Wilcoxon SignedRanks TestUsing the data in Exercise,...
 13.3.4BSC: Efficiency of the Wilcoxon SignedRanks TestRefer to Table 132 in ...
 13.3.7BSC: Using the Wilcoxon SignedRanks Test.?Refer to the sample data for ...
 13.3.6BSC: Using the Wilcoxon SignedRanks Test.?Refer to the sample data for ...
 13.3.9BSC: Appendix B Data Sets.?Refer to the sample data for the given exerci...
 13.3.10BSC: Appendix B Data Sets.?Refer to the sample data for the given exerci...
 13.3.11BSC: Appendix B Data Sets.?Refer to the sample data for the given exerci...
Solutions for Chapter 13.3: Wilcoxon SignedRanks Test for Matched Pairs
Full solutions for Elementary Statistics  12th Edition
ISBN: 9780321836960
Solutions for Chapter 13.3: Wilcoxon SignedRanks Test for Matched Pairs
Get Full SolutionsSummary of Chapter 13.3: Wilcoxon SignedRanks Test for Matched Pairs
Chapter 13.3: Wilcoxon SignedRanks Test for Matched Pairs includes 20 full stepbystep solutions. Since 20 problems in chapter 13.3: Wilcoxon SignedRanks Test for Matched Pairs have been answered, more than 512167 students have viewed full stepbystep solutions from this chapter. Elementary Statistics was written by and is associated to the ISBN: 9780321836960. This expansive textbook survival guide covers the following chapters and their solutions. This textbook survival guide was created for the textbook: Elementary Statistics, edition: 12.

Attribute
A qualitative characteristic of an item or unit, usually arising in quality control. For example, classifying production units as defective or nondefective results in attributes data.

Attribute control chart
Any control chart for a discrete random variable. See Variables control chart.

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

Bayes’ estimator
An estimator for a parameter obtained from a Bayesian method that uses a prior distribution for the parameter along with the conditional distribution of the data given the parameter to obtain the posterior distribution of the parameter. The estimator is obtained from the posterior distribution.

Biased estimator
Unbiased estimator.

Bivariate normal distribution
The joint distribution of two normal random variables

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.

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.

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.

Consistent estimator
An estimator that converges in probability to the true value of the estimated parameter as the sample size increases.

Continuous random variable.
A random variable with an interval (either inite or ininite) of real numbers for its range.

Cook’s distance
In regression, Cook’s distance is a measure of the inluence of each individual observation on the estimates of the regression model parameters. It expresses the distance that the vector of model parameter estimates with the ith observation removed lies from the vector of model parameter estimates based on all observations. Large values of Cook’s distance indicate that the observation is inluential.

Correction factor
A term used for the quantity ( / )( ) 1 1 2 n xi i n ? = that is subtracted from xi i n 2 ? =1 to give the corrected sum of squares deined as (/ ) ( ) 1 1 2 n xx i x i n ? = i ? . The correction factor can also be written as nx 2 .

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 .

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

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

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

F distribution.
The distribution of the random variable deined as the ratio of two independent chisquare random variables, each divided by its number of degrees of freedom.

Fraction defective control chart
See P chart

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.