 Chapter 18.1: The following hypothesistesting situation is given: : .50 and : .5...
 Chapter 18.2: The following hypothesistesting situation is given: : .50 and : .5...
 Chapter 18.3: Calorie Watchers has lowcalorie breakfasts, lunches, and dinners. ...
 Chapter 18.4: Many new stockbrokers resist giving presentations to bankers and ce...
 Chapter 18.5: A sample of 45 overweight men participated in an exercise program. ...
 Chapter 18.6: A sample of 60 college students was given a special training progra...
 Chapter 18.7: Pierres Restaurant announced that on Thursday night the menu would ...
 Chapter 18.8: Assembly workers at Coastal Computers Inc. assemble just one or two...
 Chapter 18.9: The median salary for a chiropractor in the United States is $81,50...
 Chapter 18.10: . Central Airlines claims that the median price of a roundtrip tic...
 Chapter 18.11: An industrial psychologist selected a random sample of seven young ...
 Chapter 18.12: Toyota USA is studying the effect of regular versus highoctane gas...
 Chapter 18.13: A new assemblyline procedure to increase production has been sugge...
 Chapter 18.14: It has been suggested that daily production of a subassembly would ...
 Chapter 18.15: The following observations were randomly selected from populations ...
 Chapter 18.16: The following observations were randomly selected from populations ...
 Chapter 18.17: Tucson State University offers two MBA programs. In the first progr...
 Chapter 18.18: In recent times, with mortgage rates at low levels, financial insti...
 Chapter 18.19: Under what conditions should the KruskalWallis test be used instea...
 Chapter 18.20: Under what conditions should the KruskalWallis test be used instea...
 Chapter 18.21: The following sample data were obtained from three populations that...
 Chapter 18.22: The following sample data were obtained from three populations wher...
 Chapter 18.23: Davis Outboard Motors Inc. recently developed an epoxy painting pro...
 Chapter 18.24: The National Turkey Association wants to experiment with the effect...
 Chapter 18.25: Do husbands and wives like the same TV shows? A recent study by Nie...
 Chapter 18.26: Far West University offers both day and evening classes in business...
 Chapter 18.27: New representatives for Clark Sprocket and Chain Inc. attended a br...
 Chapter 18.28: Suppose Texas A & M UniversityCommerce has five scholarships availa...
 Chapter 18.29: The vice president of programming at NBC is finalizing the primeti...
 Chapter 18.30: IBM Inc. is going to award a contract for fineline pens to be used...
 Chapter 18.31: Cornwall and Hudson, a large retail department store, wants to hand...
 Chapter 18.32: The Greater Jacksonville, Florida, Real Estate Association claims t...
 Chapter 18.33: The Citrus Council of America wants to determine whether consumers ...
 Chapter 18.34: The objective of a community research project is to determine wheth...
 Chapter 18.35: Is there a difference in the annual divorce rates in predominantly ...
 Chapter 18.36: The production manager of MPS Audio Systems Inc. is concerned about...
 Chapter 18.37: Drs. Trythall and Kerns are studying the mobility of executives in ...
 Chapter 18.38: A series of questions on sports and world events was asked of a ran...
 Chapter 18.39: Early in the basketball season, 12 college teams appeared to be out...
 Chapter 18.40: Professor Bert Forman believes the students who complete his examin...
 Chapter 18.41: Refer to the Real Estate data, which report information on homes so...
 Chapter 18.42: Refer to the Baseball 2009 data, which report information on the 20...
 Chapter 18.43: Refer to the data on the school buses in the Buena School District....
Solutions for Chapter Chapter 18: Nonparametric Methods: Analysis of Ranked Data
Full solutions for Statistical Techniques in Business and Economics  15th Edition
ISBN: 9780073401805
Solutions for Chapter Chapter 18: Nonparametric Methods: Analysis of Ranked Data
Get Full SolutionsThis textbook survival guide was created for the textbook: Statistical Techniques in Business and Economics, edition: 15. This expansive textbook survival guide covers the following chapters and their solutions. Chapter Chapter 18: Nonparametric Methods: Analysis of Ranked Data includes 43 full stepbystep solutions. Statistical Techniques in Business and Economics was written by and is associated to the ISBN: 9780073401805. Since 43 problems in chapter Chapter 18: Nonparametric Methods: Analysis of Ranked Data have been answered, more than 24357 students have viewed full stepbystep solutions from this chapter.

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

Average
See Arithmetic mean.

Bimodal distribution.
A distribution with two modes

Box plot (or box and whisker plot)
A graphical display of data in which the box contains the middle 50% of the data (the interquartile range) with the median dividing it, and the whiskers extend to the smallest and largest values (or some deined lower and upper limits).

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.

Confounding
When a factorial experiment is run in blocks and the blocks are too small to contain a complete replicate of the experiment, one can run a fraction of the replicate in each block, but this results in losing information on some effects. These effects are linked with or confounded with the blocks. In general, when two factors are varied such that their individual effects cannot be determined separately, their effects are said to be confounded.

Contingency table.
A tabular arrangement expressing the assignment of members of a data set according to two or more categories or classiication criteria

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

Dispersion
The amount of variability exhibited by data

Error of estimation
The difference between an estimated value and the true value.

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.

Estimator (or point estimator)
A procedure for producing an estimate of a parameter of interest. An estimator is usually a function of only sample data values, and when these data values are available, it results in an estimate of the parameter of interest.

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

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.

Ftest
Any test of signiicance involving the F distribution. The most common Ftests are (1) testing hypotheses about the variances or standard deviations of two independent normal distributions, (2) testing hypotheses about treatment means or variance components in the analysis of variance, and (3) testing signiicance of regression or tests on subsets of parameters in a regression 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.

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.