 Chapter 26.26.1: (a) Arrange the 12 observations in order and find the ranks.(b) Tak...
 Chapter 26.26.2: (a) Make a graph to describe the data. What does it show?(b) The DD...
 Chapter 26.26.3: Attracting beetles, continued. In Exercise 26.1, you found the Wilc...
 Chapter 26.26.4: DDT poisoning, continued. Use your values of W, W, and W from Exerc...
 Chapter 26.26.5: A study of early childhood education asked kindergarten students to...
 Chapter 26.26.6: Attracting beetles: software. Use your software to carry out the on...
 Chapter 26.26.7: DDT poisoning: software. Use your software to repeat the Wilcoxon t...
 Chapter 26.26.8: (a) Is there evidence that 9 weeds per meter reduces corn yields wh...
 Chapter 26.26.9: We could use either twosample t or theWilcoxon rank sum to test th...
 Chapter 26.26.10: DDT poisoning: hypotheses. We are interested in whether DDT changes...
 Chapter 26.26.11: (a) What are the null and alternative hypotheses for the Wilcoxon t...
 Chapter 26.26.12: Reducing wrinkles. Durable press treatment of fabrics reduces wrink...
 Chapter 26.26.13: The null hypothesis is no difference in timing; the alternative hyp...
 Chapter 26.26.14: (a) Make a backtoback stemplot of the 5 responses in each group. ...
 Chapter 26.26.15: Cicadas as fertilizer? Exercise 7.9 (text page 173) gives data from...
 Chapter 26.26.16: Food safety in restaurants. Example 26.5 describes a study of the a...
 Chapter 26.26.17: More on food safety. The data file used in Example 26.5 and Exercis...
 Chapter 26.26.18: The investigators used the matched pairs t test. With only 3 pairs,...
 Chapter 26.26.19: The matched pairs t test (Example 18.4) works well, and gives P = 0...
 Chapter 26.26.20: Growing trees faster: Normal approximation. Continue your work from...
 Chapter 26.26.21: W+ versus t. Find the onesided Pvalue for the matched pairs t tes...
 Chapter 26.26.22: Floral scents and learning: Normal approximation. Use the Normalapp...
 Chapter 26.26.23: (a) Graph the data, and comment on skewness and outliers. A rank te...
 Chapter 26.26.24: (a) There are several ties among the absolute differences. Find the...
 Chapter 26.26.25: (a) These data are the differences from a matched pairs design. Sta...
 Chapter 26.26.26: Mutual funds often compare their performance with a benchmark provi...
 Chapter 26.26.27: Fungus in the air. The air in poultry processing plants often conta...
 Chapter 26.26.28: Which color attracts beetles best? Example 25.4 (text page 634) use...
 Chapter 26.26.29: (a) Make a graph to compare the distributions of richness for the t...
 Chapter 26.26.30: Does polyester decay? Here are the breaking strengths (in pounds) o...
 Chapter 26.26.31: Compressing soil. Farmers know that driving heavy equipment on wet ...
 Chapter 26.26.32: Food safety. Example 26.5 describes a study of the attitudes of peo...
 Chapter 26.26.33: A study of road rage gives randomly selected drivers a test that me...
 Chapter 26.26.34: You interview college students who have done community service and ...
 Chapter 26.26.35: You interview 75 students in their freshman year and again in their...
 Chapter 26.26.36: When some plants are attacked by leafeating insects, they release ...
 Chapter 26.26.37: If there is no difference in emissions between the attacked group a...
 Chapter 26.26.38: Suppose that the 12 observations in Exercise 26.36 wereControl grou...
 Chapter 26.26.39: Interview 10 young married couples, wife and husband separately. On...
 Chapter 26.26.40: If husbands and wives dont differ in how important the attractivene...
 Chapter 26.26.41: Suppose that the responses in Exercise 26.39 areCouple1 2 3 4 5 6 7...
 Chapter 26.26.42: You compare the incomes of 4 college freshmen, 5 sophomores, 6 juni...
 Chapter 26.26.43: Table 19.1 (text page 488) gives thepretest and posttest scores for...
 Chapter 26.26.44: Which blue is most blue? The color of a fabric depends on the dye u...
 Chapter 26.26.45: Right versus left. Table 18.5 (text page 458) contains data from a ...
 Chapter 26.26.46: Logging in the rain forest. Investigators compared the number of tr...
 Chapter 26.26.47: Food safety at fairs and restaurants. Example 26.5 describes a stud...
 Chapter 26.26.48: Food safety at fairs and fastfood restaurants. The food safety sur...
 Chapter 26.26.49: Nematodes and plant growth. A botanist prepares 16 identical planti...
 Chapter 26.26.50: We identified a significant positive effect oftributaries on Amazon...
 Chapter 26.26.51: Tributary versus upstream. Second, we found that species richness w...
 Chapter 26.26.52: Tributary versus downstream. Species richness was comparable betwee...
Solutions for Chapter Chapter 26: Nonparametric Tests
Full solutions for The Basic Practice of Statistics  4th Edition
ISBN: 9780716774785
Solutions for Chapter Chapter 26: Nonparametric Tests
Get Full SolutionsThe Basic Practice of Statistics was written by and is associated to the ISBN: 9780716774785. This textbook survival guide was created for the textbook: The Basic Practice of Statistics, edition: 4. Chapter Chapter 26: Nonparametric Tests includes 52 full stepbystep solutions. This expansive textbook survival guide covers the following chapters and their solutions. Since 52 problems in chapter Chapter 26: Nonparametric Tests have been answered, more than 13672 students have viewed full stepbystep solutions from this chapter.

2 k p  factorial experiment
A fractional factorial experiment with k factors tested in a 2 ? p fraction with all factors tested at only two levels (settings) each

Analysis of variance (ANOVA)
A method of decomposing the total variability in a set of observations, as measured by the sum of the squares of these observations from their average, into component sums of squares that are associated with speciic deined sources of variation

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

Backward elimination
A method of variable selection in regression that begins with all of the candidate regressor variables in the model and eliminates the insigniicant regressors one at a time until only signiicant regressors remain

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

Continuity correction.
A correction factor used to improve the approximation to binomial probabilities from a normal distribution.

Cook’s distance
In regression, Cook’s distance is a measure of the inluence of each individual observation on the estimates of the regression model parameters. It expresses the distance that the vector of model parameter estimates with the ith observation removed lies from the vector of model parameter estimates based on all observations. Large values of Cook’s distance indicate that the observation is inluential.

Correction factor
A term used for the quantity ( / )( ) 1 1 2 n xi i n ? = that is subtracted from xi i n 2 ? =1 to give the corrected sum of squares deined as (/ ) ( ) 1 1 2 n xx i x i n ? = i ? . The correction factor can also be written as nx 2 .

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

Distribution function
Another name for a cumulative distribution function.

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

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

Error propagation
An analysis of how the variance of the random variable that represents that output of a system depends on the variances of the inputs. A formula exists when the output is a linear function of the inputs and the formula is simpliied if the inputs are assumed to be independent.

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

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

Forward selection
A method of variable selection in regression, where variables are inserted one at a time into the model until no other variables that contribute signiicantly to the model can be found.

Fraction defective control chart
See P chart

Gaussian distribution
Another name for the normal distribution, based on the strong connection of Karl F. Gauss to the normal distribution; often used in physics and electrical engineering applications

Generating function
A function that is used to determine properties of the probability distribution of a random variable. See Momentgenerating function