 13.1: For Exercises 1 through 13, follow this procedure: a. State the hyp...
 13.2: For Exercises 1 through 13, follow this procedure: a. State the hyp...
 13.3: For Exercises 1 through 13, follow this procedure: a. State the hyp...
 13.4: For Exercises 1 through 13, follow this procedure: a. State the hyp...
 13.5: For Exercises 1 through 13, follow this procedure: a. State the hyp...
 13.6: For Exercises 1 through 13, follow this procedure: a. State the hyp...
 13.7: For Exercises 1 through 13, follow this procedure: a. State the hyp...
 13.8: For Exercises 1 through 13, follow this procedure: a. State the hyp...
 13.9: For Exercises 1 through 13, follow this procedure: a. State the hyp...
 13.10: For Exercises 1 through 13, follow this procedure: a. State the hyp...
 13.11: For Exercises 1 through 13, follow this procedure: a. State the hyp...
 13.12: For Exercises 1 through 13, follow this procedure: a. State the hyp...
 13.13: For Exercises 1 through 13, follow this procedure: a. State the hyp...
 13.1: From the Data Bank, choose a sample and use the sign test to test o...
 13.2: From the Data Bank, select a sample of subjects. Use the KruskalWa...
 13.3: From the Data Bank select a sample of 50 subjects. Use the Wilcoxon...
 13.1: Nonparametric statistics cannot be used to test the difference betw...
 13.2: Nonparametric statistics are more sensitive than their parametric c...
 13.3: Nonparametric statistics can be used to test hypotheses about param...
 13.4: Parametric tests are preferred over their nonparametric counterpart...
 13.5: The test is used to test means when samples are dependent and the n...
 13.6: The KruskalWallis test uses the distribution. a. z c. Chisquare b...
 13.7: The nonparametric counterpart of ANOVA is the . a. Wilcoxon signed...
 13.8: To see if two rankings are related, you can use the . a. Runs test ...
 13.9: When the assumption of normality cannot be met, you can use tests.
 13.10: When data are or in nature, nonparametric methods are used.
 13.11: To test to see whether a median was equal to a specific value, you ...
 13.12: Nonparametric tests are less than their parametric counterparts.
 13.13: Candy Bar Sales The owner of a candy store states that she sells on...
 13.14: Lifetimes of Batteries A battery manufacturer claims that the media...
 13.15: Weights of Turkeys A special diet is fed to adult turkeys to see if...
 13.16: Ages for First Drink of Alcoholics Two groups of alcoholics, one gr...
 13.17: Textbook Costs Samples of students majoring in law and nursing are ...
 13.18: Student Grade Point Averages The grade point average of a group of ...
 13.19: Breaking Strengths of Wrapping Tapes Samples of three different typ...
 13.20: Medication and Reaction Times Three different groups of monkeys wer...
 13.21: Drug Prices Is there a relationship between the prescription drug p...
 13.22: Funding and Enrollment for Head Start Students Is there a relations...
 13.23: Birth Registry At the state registry of vital statistics, the birth...
 13.24: Output of Motors The output in revolutions per minute (rpm) of 10 m...
 13.25: State Lottery Numbers A statistician wishes to determine if a state...
 13.1: Tolls for Bridge Two commuters ride to work together in one car. To...
 13.2: Olympic Medals Shown in the next column are the type and number of ...
 13.1: Business and Finance Monitor the price of a stock over a fiveweek ...
 13.2: Sports and Leisure Watch a basketball game, baseball game, or footb...
 13.3: Technology Use the data collected in data project 3 of Chapter 2 re...
 13.4: Health and Wellness Have everyone in class take her or his pulse du...
 13.5: Politics and Economics Find the ranking for each state for its mean...
 13.6: Your Class Have everyone in class take his or her temperature on a ...
Solutions for Chapter 13: Nonparametric Statistics
Full solutions for Elementary Statistics: A Step by Step Approach  7th Edition
ISBN: 9780073534978
Solutions for Chapter 13: Nonparametric Statistics
Get Full SolutionsSince 49 problems in chapter 13: Nonparametric Statistics have been answered, more than 36282 students have viewed full stepbystep solutions from this chapter. Chapter 13: Nonparametric Statistics includes 49 full stepbystep solutions. This textbook survival guide was created for the textbook: Elementary Statistics: A Step by Step Approach, edition: 7. This expansive textbook survival guide covers the following chapters and their solutions. Elementary Statistics: A Step by Step Approach was written by and is associated to the ISBN: 9780073534978.

Alias
In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.

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.

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.

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

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.

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.

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 .

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

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

Defect
Used in statistical quality control, a defect is a particular type of nonconformance to speciications or requirements. Sometimes defects are classiied into types, such as appearance defects and functional defects.

Defect concentration diagram
A quality tool that graphically shows the location of defects on a part or in a process.

Deining relation
A subset of effects in a fractional factorial design that deine the aliases in the design.

Discrete random variable
A random variable with a inite (or countably ininite) range.

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

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.

False alarm
A signal from a control chart when no assignable causes are present

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.

Geometric mean.
The geometric mean of a set of n positive data values is the nth root of the product of the data values; that is, g x i n i n = ( ) = / w 1 1 .

Geometric random variable
A discrete random variable that is the number of Bernoulli trials until a success occurs.