 133.1: Are the samples independent or dependent?
 133.2: What are the hypotheses?
 133.3: What nonparametric test would you use to test the claim?
 133.4: What critical value would you use?
 133.5: What is the test value?
 133.6: What is your decision?
 133.7: What is the corresponding parametric test?
 133.8: If this assumption were not met, would the parametric test yield th...
 133.9: If this assumption were not met, would the parametric test yield th...
 133.1: What are the minimum sample sizes for the Wilcoxon rank sum test?
 133.2: What are the parametric equivalent tests for the Wilcoxon rank sum ...
 133.3: What distribution is used for the Wilcoxon rank sum test?
 133.4: For Exercises 4 through 11, use the Wilcoxon rank sum test. Assume ...
 133.5: For Exercises 4 through 11, use the Wilcoxon rank sum test. Assume ...
 133.6: For Exercises 4 through 11, use the Wilcoxon rank sum test. Assume ...
 133.7: For Exercises 4 through 11, use the Wilcoxon rank sum test. Assume ...
 133.8: For Exercises 4 through 11, use the Wilcoxon rank sum test. Assume ...
 133.9: For Exercises 4 through 11, use the Wilcoxon rank sum test. Assume ...
 133.10: For Exercises 4 through 11, use the Wilcoxon rank sum test. Assume ...
 133.11: For Exercises 4 through 11, use the Wilcoxon rank sum test. Assume ...
Solutions for Chapter 133: Nonparametric Statistics
Full solutions for Elementary Statistics: A Step by Step Approach  7th Edition
ISBN: 9780073534978
Solutions for Chapter 133: Nonparametric Statistics
Get Full SolutionsChapter 133: Nonparametric Statistics 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: Elementary Statistics: A Step by Step Approach, edition: 7. Elementary Statistics: A Step by Step Approach was written by and is associated to the ISBN: 9780073534978. Since 20 problems in chapter 133: Nonparametric Statistics have been answered, more than 29929 students have viewed full stepbystep solutions from this chapter.

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

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.

Axioms of probability
A set of rules that probabilities deined on a sample space must follow. See Probability

Bayesâ€™ 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.

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

Central tendency
The tendency of data to cluster around some value. Central tendency is usually expressed by a measure of location such as the mean, median, or mode.

Conditional mean
The mean of the conditional probability distribution of a random variable.

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

Critical value(s)
The value of a statistic corresponding to a stated signiicance level as determined from the sampling distribution. For example, if PZ z PZ ( )( .) . ? =? = 0 025 . 1 96 0 025, then z0 025 . = 1 9. 6 is the critical value of z at the 0.025 level of signiicance. Crossed factors. Another name for factors that are arranged in a factorial experiment.

Cumulative sum control chart (CUSUM)
A control chart in which the point plotted at time t is the sum of the measured deviations from target for all statistics up to time t

Curvilinear regression
An expression sometimes used for nonlinear regression models or polynomial regression models.

Decision interval
A parameter in a tabular CUSUM algorithm that is determined from a tradeoff between false alarms and the detection of assignable causes.

Density function
Another name for a probability density function

Dependent variable
The response variable in regression or a designed experiment.

Design matrix
A matrix that provides the tests that are to be conducted in an experiment.

Enumerative study
A study in which a sample from a population is used to make inference to the population. See Analytic study

Error variance
The variance of an error term or component in a model.

Fractional factorial experiment
A type of factorial experiment in which not all possible treatment combinations are run. This is usually done to reduce the size of an experiment with several factors.

Harmonic mean
The harmonic mean of a set of data values is the reciprocal of the arithmetic mean of the reciprocals of the data values; that is, h n x i n i = ? ? ? ? ? = ? ? 1 1 1 1 g .