 136.1: What question are you trying to answer?
 136.2: What type of nonparametric analysis could be used to answer the que...
 136.3: What would be the corresponding parametric test that could be used?
 136.4: Which test do you think would be better?
 136.5: Perform both tests and write a short statement comparing the results
 136.1: For Exercises 1 through 4, find the critical value from Table L for...
 136.2: For Exercises 1 through 4, find the critical value from Table L for...
 136.3: For Exercises 1 through 4, find the critical value from Table L for...
 136.4: For Exercises 1 through 4, find the critical value from Table L for...
 136.5: For Exercises 5 through 14, perform these steps. a. Find the Spearm...
 136.6: For Exercises 5 through 14, perform these steps. a. Find the Spearm...
 136.7: For Exercises 5 through 14, perform these steps. a. Find the Spearm...
 136.8: For Exercises 5 through 14, perform these steps. a. Find the Spearm...
 136.9: For Exercises 5 through 14, perform these steps. a. Find the Spearm...
 136.10: For Exercises 5 through 14, perform these steps. a. Find the Spearm...
 136.11: For Exercises 5 through 14, perform these steps. a. Find the Spearm...
 136.12: For Exercises 5 through 14, perform these steps. a. Find the Spearm...
 136.13: For Exercises 5 through 14, perform these steps. a. Find the Spearm...
 136.14: For Exercises 5 through 14, perform these steps. a. Find the Spearm...
 136.15: A school dentist wanted to test the claim, at a 0.05, that the numb...
 136.16: Daily Lottery Numbers Listed below are the daily numbers (daytime d...
 136.17: Lottery Numbers The winning numbers for the Pennsylvania State Lott...
 136.18: True/False Test Answers An irate student believes that the answers ...
 136.19: Concert Seating As students, faculty, friends, and family arrived f...
 136.20: Twenty shoppers are in a checkout line at a grocery store. At a 0.0...
 136.21: Employee Absences A supervisor records the number of employees abse...
 136.22: Skiing Conditions A ski lodge manager observes the weather for the ...
 136.23: Tossing a Coin Toss a coin 30 times and record the outcomes (H or T...
 136.24: For Exercises 24 through 28, find the critical r value for each (as...
 136.25: For Exercises 24 through 28, find the critical r value for each (as...
 136.26: For Exercises 24 through 28, find the critical r value for each (as...
 136.27: For Exercises 24 through 28, find the critical r value for each (as...
 136.28: For Exercises 24 through 28, find the critical r value for each (as...
Solutions for Chapter 136: Nonparametric Statistics
Full solutions for Elementary Statistics: A Step by Step Approach  7th Edition
ISBN: 9780073534978
Solutions for Chapter 136: Nonparametric Statistics
Get Full SolutionsElementary Statistics: A Step by Step Approach was written by Patricia and is associated to the ISBN: 9780073534978. Since 33 problems in chapter 136: Nonparametric Statistics have been answered, more than 6325 students have viewed full stepbystep solutions from this chapter. This expansive textbook survival guide covers the following chapters and their solutions. Chapter 136: Nonparametric Statistics includes 33 full stepbystep solutions. This textbook survival guide was created for the textbook: Elementary Statistics: A Step by Step Approach, edition: 7.

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.

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.

Average
See Arithmetic mean.

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

Categorical data
Data consisting of counts or observations that can be classiied into categories. The categories may be descriptive.

Comparative experiment
An experiment in which the treatments (experimental conditions) that are to be studied are included in the experiment. The data from the experiment are used to evaluate the treatments.

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

Conidence coeficient
The probability 1?a associated with a conidence interval expressing the probability that the stated interval will contain the true parameter value.

Conidence level
Another term for the conidence coeficient.

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

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.

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

Discrete distribution
A probability distribution for a discrete random variable

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

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

Estimate (or point estimate)
The numerical value of a point estimator.

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.

Firstorder model
A model that contains only irstorder terms. For example, the irstorder response surface model in two variables is y xx = + ?? ? ? 0 11 2 2 + + . A irstorder model is also called a main effects model

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

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 .
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