 134.1: Arrival Delay Times Example 2 in this section used samples of depar...
 134.2: Rank Sum After ranking the combined list of 24 arrival delay times,...
 134.3: . What Are We Testing? Refer to the sample data in Exercise 1. Assu...
 134.4: Efficiency Refer to Table 132 in Section 131 and identify the effic...
 134.5: Wilcoxon RankSum Test. In Exercises 58, use the Wilcoxon ranksum te...
 134.6: Wilcoxon RankSum Test. In Exercises 58, use the Wilcoxon ranksum te...
 134.7: Wilcoxon RankSum Test. In Exercises 58, use the Wilcoxon ranksum te...
 134.8: Wilcoxon RankSum Test. In Exercises 58, use the Wilcoxon ranksum te...
 134.9: Appendix B Data Sets. In Exercises 912, refer to the indicated data...
 134.10: Appendix B Data Sets. In Exercises 912, refer to the indicated data...
 134.11: Appendix B Data Sets. In Exercises 912, refer to the indicated data...
 134.12: Appendix B Data Sets. In Exercises 912, refer to the indicated data...
 134.13: Using the MannWhitney U Test The MannWhitney U test is equivalent t...
 134.14: Finding Critical Values Assume that we have two treatments (A and B...
Solutions for Chapter 134: Wilcoxon RankSum Test for Two Independent Samples
Full solutions for Elementary Statistics  12th Edition
ISBN: 9780321836960
Solutions for Chapter 134: Wilcoxon RankSum Test for Two Independent Samples
Get Full SolutionsElementary Statistics was written by and is associated to the ISBN: 9780321836960. Chapter 134: Wilcoxon RankSum Test for Two Independent Samples includes 14 full stepbystep solutions. Since 14 problems in chapter 134: Wilcoxon RankSum Test for Two Independent Samples have been answered, more than 192340 students have viewed full stepbystep solutions from this chapter. This textbook survival guide was created for the textbook: Elementary Statistics, edition: 12. This expansive textbook survival guide covers the following chapters and their solutions.

`error (or `risk)
In hypothesis testing, an error incurred by rejecting a null hypothesis when it is actually true (also called a type I error).

Alternative hypothesis
In statistical hypothesis testing, this is a hypothesis other than the one that is being tested. The alternative hypothesis contains feasible conditions, whereas the null hypothesis speciies conditions that are under test

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

Binomial random variable
A discrete random variable that equals the number of successes in a ixed number of Bernoulli trials.

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).

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.

Coeficient of determination
See R 2 .

Completely randomized design (or experiment)
A type of experimental design in which the treatments or design factors are assigned to the experimental units in a random manner. In designed experiments, a completely randomized design results from running all of the treatment combinations in random order.

Conditional probability density function
The probability density function of the conditional probability distribution of a continuous random variable.

Conditional probability mass function
The probability mass function of the conditional probability distribution of a discrete random variable.

Continuity correction.
A correction factor used to improve the approximation to binomial probabilities from a normal distribution.

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

Contrast
A linear function of treatment means with coeficients that total zero. A contrast is a summary of treatment means that is of interest in an experiment.

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 .

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.

Cumulative distribution function
For a random variable X, the function of X deined as PX x ( ) ? that is used to specify the probability distribution.

Density function
Another name for a probability density function

Discrete uniform random variable
A discrete random variable with a inite range and constant probability mass function.

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