 15.5.1: In 18, use the MannWhitney test to test the given hypotheses at the...
 15.5.2: In 18, use the MannWhitney test to test the given hypotheses at the...
 15.5.3: In 18, use the MannWhitney test to test the given hypotheses at the...
 15.5.4: In 18, use the MannWhitney test to test the given hypotheses at the...
 15.5.5: In 18, use the MannWhitney test to test the given hypotheses at the...
 15.5.6: In 18, use the MannWhitney test to test the given hypotheses at the...
 15.5.7: In 18, use the MannWhitney test to test the given hypotheses at the...
 15.5.8: In 18, use the MannWhitney test to test the given hypotheses at the...
 15.5.9: Emotions The EAS Temperament Survey can be used to measure the acti...
 15.5.10: Weights of Linemen A researcher wants to know if the median weight ...
 15.5.11: Bacteria in Hospital Carpeting Researchers wanted to discover wheth...
 15.5.12: Rats in Space Researchers at NASA wanted to judge the effects of sp...
 15.5.13: Calcium in Rainwater An environmentalist wants to determine if the ...
 15.5.14: Potassium in Rainwater An environmentalist wants to determine if th...
 15.5.15: MannWhitney Using Ordinal Data The MannWhitney test can be performe...
 15.5.16: MannWhitney Using Ordinal Data See 15. A restaurant critic ranks re...
 15.5.17: Explain the rationale behind the test statistic for the Mann Whitne...
 15.5.18: Explain the rationale behind the decision rule for the Mann Whitney...
 15.5.19: Explain the primary difference between the Wilcoxon signedranks tes...
 15.5.20: For the largesample case, the test statistic for the Mann Whitney ...
Solutions for Chapter 15.5: INFERENCES ABOUT THE DIFFERENCE BETWEEN TWO MEDIANS: INDEPENDENT SAMPLES
Full solutions for Statistics: Informed Decisions Using Data  4th Edition
ISBN: 9780321757272
Solutions for Chapter 15.5: INFERENCES ABOUT THE DIFFERENCE BETWEEN TWO MEDIANS: INDEPENDENT SAMPLES
Get Full SolutionsStatistics: Informed Decisions Using Data was written by and is associated to the ISBN: 9780321757272. Chapter 15.5: INFERENCES ABOUT THE DIFFERENCE BETWEEN TWO MEDIANS: INDEPENDENT SAMPLES includes 20 full stepbystep solutions. This expansive textbook survival guide covers the following chapters and their solutions. This textbook survival guide was created for the textbook: Statistics: Informed Decisions Using Data , edition: 4. Since 20 problems in chapter 15.5: INFERENCES ABOUT THE DIFFERENCE BETWEEN TWO MEDIANS: INDEPENDENT SAMPLES have been answered, more than 152440 students have viewed full stepbystep solutions from this chapter.

2 k factorial experiment.
A full factorial experiment with k factors and all factors tested at only two levels (settings) each.

Additivity property of x 2
If two independent random variables X1 and X2 are distributed as chisquare with v1 and v2 degrees of freedom, respectively, Y = + X X 1 2 is a chisquare random variable with u = + v v 1 2 degrees of freedom. This generalizes to any number of independent chisquare random variables.

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

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

Assignable cause
The portion of the variability in a set of observations that can be traced to speciic causes, such as operators, materials, or equipment. Also called a special cause.

Biased estimator
Unbiased estimator.

Bimodal distribution.
A distribution with two modes

C chart
An attribute control chart that plots the total number of defects per unit in a subgroup. Similar to a defectsperunit or U chart.

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.

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.

Control chart
A graphical display used to monitor a process. It usually consists of a horizontal center line corresponding to the incontrol value of the parameter that is being monitored and lower and upper control limits. The control limits are determined by statistical criteria and are not arbitrary, nor are they related to speciication limits. If sample points fall within the control limits, the process is said to be incontrol, or free from assignable causes. Points beyond the control limits indicate an outofcontrol process; that is, assignable causes are likely present. This signals the need to ind and remove the assignable causes.

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

Demingâ€™s 14 points.
A management philosophy promoted by W. Edwards Deming that emphasizes the importance of change and quality

Dispersion
The amount of variability exhibited by data

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

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

Event
A subset of a sample space.

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.

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