 15.15.1: Reconsider the situation described in Exercise 32 of Section 8.2, a...
 15.15.2: Use the Wilcoxon test to analyze the data given in Example 8.9
 15.15.3: The accompanying data is a subset of the data reported in the artic...
 15.15.4: A random sample of 15 automobile mechanics certified to work on a c...
 15.15.5: Both a gravimetric and a spectrophotometric method are under consid...
 15.15.6: Reconsider the situation described in Exercise 41 of Section 9.3, a...
 15.15.7: Use the largesample version of the Wilcoxon test at significance l...
 15.15.8: The accompanying 25 observations on fracture toughnessof base plate...
 15.15.9: test statistic D n i1 (Ri i)2 . Then small values of D give support...
 15.15.10: In an experiment to compare the bond strength of two different adhe...
 15.15.11: The article A Study of Wood Stove Particulate Emissions (J. Air Pol...
 15.15.12: A modification has been made to the process for producing a certain...
 15.15.13: The accompanying data resulted from an experiment to compare the ef...
 15.15.14: Test the hypotheses suggested in Exercise 13 using the following da...
 15.15.15: The article Measuring the Exposure of Infants to TobaccoSmoke (N. E...
 15.15.16: Reconsider the situation described in Exercise 79 of Chapter 9 and ...
 15.15.17: The article The Lead Content and Acidity of Christchurch Precipitat...
 15.15.18: Compute the 99% signedrank interval for true average pH (assuming ...
 15.15.19: Compute a CI for D of Example 15.2 using the data given there; your...
 15.15.20: The following observations are amounts of hydrocarbon emissions res...
 15.15.21: Compute the 90% ranksum CI for 1 2 using the data in Exercise 10
 15.15.22: Compute a 99% CI for 1 2 using the data in Exercise 11.
 15.15.23: The accompanying data refers to concentration of the radioactive is...
 15.15.24: The article Production of Gaseous Nitrogen in Human SteadyState Co...
 15.15.25: The accompanying data on cortisol level was reported in the article...
 15.15.26: In a test to determine whether soil pretreated with small amounts o...
 15.15.27: In an experiment to study the way in which different anestheticsaff...
 15.15.28: The article Effects of a RiceRich Versus PotatoRich Diet on Gluco...
 15.15.29: Highpressure sales tactics or doortodoor salespeople can be quit...
 15.15.30: The given data on phosphorus concentration in topsoil for four diff...
 15.15.31: Refer to the data of Exercise 30 and compute a 95% CI for the diffe...
 15.15.32: The study reported in Gait Patterns During Free Choice Ladder Ascen...
 15.15.33: The sign test is a very simple procedure for testing hypotheses abo...
 15.15.34: Refer to Exercise 33, and consider a confidence interval associated...
 15.15.35: Suppose we wish to test H0: the X and Y distributions are identical...
 15.15.36: The ranking procedure described in Exercise 35 is somewhat asymmetr...
Solutions for Chapter 15: DistributionFree Procedures
Full solutions for Probability and Statistics for Engineering and the Sciences (with Student Suite Online)  7th Edition
ISBN: 9780495382171
Solutions for Chapter 15: DistributionFree Procedures
Get Full SolutionsProbability and Statistics for Engineering and the Sciences (with Student Suite Online) was written by and is associated to the ISBN: 9780495382171. This expansive textbook survival guide covers the following chapters and their solutions. Chapter 15: DistributionFree Procedures includes 36 full stepbystep solutions. This textbook survival guide was created for the textbook: Probability and Statistics for Engineering and the Sciences (with Student Suite Online), edition: 7. Since 36 problems in chapter 15: DistributionFree Procedures have been answered, more than 20142 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.

aerror (or arisk)
In hypothesis testing, an error incurred by failing to reject a null hypothesis when it is actually false (also called a type II error).

Acceptance region
In hypothesis testing, a region in the sample space of the test statistic such that if the test statistic falls within it, the null hypothesis cannot be rejected. This terminology is used because rejection of H0 is always a strong conclusion and acceptance of H0 is generally a weak conclusion

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

Arithmetic mean
The arithmetic mean of a set of numbers x1 , x2 ,…, xn is their sum divided by the number of observations, or ( / )1 1 n xi t n ? = . The arithmetic mean is usually denoted by x , and is often called the average

Average
See Arithmetic mean.

Causal variable
When y fx = ( ) and y is considered to be caused by x, x is sometimes called a causal variable

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.

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

Contour plot
A twodimensional graphic used for a bivariate probability density function that displays curves for which the probability density function is constant.

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

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

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

Error mean square
The error sum of squares divided by its number of degrees of freedom.

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

Event
A subset of a sample space.

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

Fraction defective
In statistical quality control, that portion of a number of units or the output of a process that is defective.

Frequency distribution
An arrangement of the frequencies of observations in a sample or population according to the values that the observations take on

Hat matrix.
In multiple regression, the matrix H XXX X = ( ) ? ? 1 . This a projection matrix that maps the vector of observed response values into a vector of itted values by yˆ = = X X X X y Hy ( ) ? ? ?1 .