 134.1: What is the parametric equivalent test for the Wilcoxon signedrank...
 134.2: Pretest 65 103 79 92 72 91 76 95 Posttest 72 105 64 95 78 92 76 93
 134.3: Pretest 108 97 115 162 156 105 153 Posttest 110 97 103 168 143 112 141
 134.4: For Exercises 4 through 8, use Table K to determine whether the nul...
 134.5: For Exercises 4 through 8, use Table K to determine whether the nul...
 134.6: For Exercises 4 through 8, use Table K to determine whether the nul...
 134.7: For Exercises 4 through 8, use Table K to determine whether the nul...
 134.8: For Exercises 4 through 8, use Table K to determine whether the nul...
 134.9: Drug Prices Eight drugs were selected, and the prices for the human...
 134.10: Property Assessments Use the sign test to test the hypothesis that ...
 134.11: Weight Loss Through Diet Eight subjects were weighed before and aft...
 134.12: Legal Costs for School Districts A sample of legal costs (in thousa...
 134.13: Drug Prices A researcher wishes to compare the prices for prescript...
Solutions for Chapter 134: The Wilcoxon SignedRank Test
Full solutions for Elementary Statistics: A Step by Step Approach 8th ed.  8th Edition
ISBN: 9780073386102
Solutions for Chapter 134: The Wilcoxon SignedRank Test
Get Full SolutionsSince 13 problems in chapter 134: The Wilcoxon SignedRank Test have been answered, more than 37250 students have viewed full stepbystep solutions from this chapter. This textbook survival guide was created for the textbook: Elementary Statistics: A Step by Step Approach 8th ed., edition: 8. Elementary Statistics: A Step by Step Approach 8th ed. was written by and is associated to the ISBN: 9780073386102. Chapter 134: The Wilcoxon SignedRank Test includes 13 full stepbystep solutions. This expansive textbook survival guide covers the following chapters and their solutions.

2 k p  factorial experiment
A fractional factorial experiment with k factors tested in a 2 ? p fraction with all factors tested at only two levels (settings) each

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

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

Bayesâ€™ theorem
An equation for a conditional probability such as PA B (  ) in terms of the reverse conditional probability PB A (  ).

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.

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

Continuous distribution
A probability distribution for a continuous random variable.

Continuous uniform random variable
A continuous random variable with range of a inite interval and a constant probability density function.

Contour plot
A twodimensional graphic used for a bivariate probability density function that displays curves for which the probability density function is constant.

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 .

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

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

Discrete distribution
A probability distribution for a discrete random variable

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

Exhaustive
A property of a collection of events that indicates that their union equals the sample space.

Expected value
The expected value of a random variable X is its longterm average or mean value. In the continuous case, the expected value of X is E X xf x dx ( ) = ?? ( ) ? ? where f ( ) x is the density function of the random variable X.

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.

Frequency distribution
An arrangement of the frequencies of observations in a sample or population according to the values that the observations take on

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

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.