 9.9.1: Find two conditional distributions. Use the output in Figure 9.3 (p...
 9.9.2: Condition on Facebook time. Refer to Exercise 9.1 (page 530). Use t...
 9.9.3: Which conditional distributions should you use? Refer to your answe...
 9.9.4: Examine the row percents. Refer to the health habits data that we e...
 9.9.5: Make some plots. Refer to the previous exercise. Make plots of the ...
 9.9.6: Compare the conditional distributions. Compare the plots you made i...
 9.9.7: Find the expected counts. Refer to Example 9.10. Compute the expect...
 9.9.8: Find the X2 statistic. Refer to the previous exercise. Use the form...
 9.9.9: Find the Pvalue. For each of the following give the degrees of fre...
 9.9.10: Time spent on Facebook: the chisquare test. Refer to Example 9.2 (...
 9.9.11: Comparison of conditional distributions. Consider the following 2 2...
 9.9.12: Expected cell counts and the chisquare test. Refer to Exercise 9.1...
 9.9.13: Compare the chisquare test with the z test. Refer to the previous ...
 9.9.14: A different view of the relative risk. In the previous example, we ...
 9.9.15: Why is the sum 1567.01? Refer to the table of expected counts in Ex...
 9.9.16: Calculate the expected counts. Refer to Example 9.15. Find the expe...
 9.9.17: Compute the chisquare statistic. For each of the other five states...
 9.9.18: Distribution of M&M colors. M&M Mars Company has varied the mix of ...
 9.9.19: Is the coin fair? In Example 4.3 (page 234) we learned that the Sou...
 9.9.20: Translate each problem into a 2 3 2 table. In each of the following...
 9.9.21: Find the joint distribution, the marginal distributions, and the co...
 9.9.22: Read the output. Exercise 8.58 (page 523) gives data on individuals...
 9.9.23: Relationship or explanatory and response variables? In each of the ...
 9.9.24: Choose the appropriate conditional distributions. Refer to the prev...
 9.9.25: Sexual harassment in middle and high schools. A nationally represen...
 9.9.26: Do the significance test. Refer to the previous exercise. Compute t...
 9.9.27: whether or not they were harassed online. Here are the data for the...
 9.9.28: Data for the boys. Refer to the previous exercise. Here are the cor...
 9.9.29: Repeat your analysis. In part (a) of Exercise 9.27, you had to deci...
 9.9.30: Which model? Refer to the four scenarios in Exercise 9.23. For each...
 9.9.31: Is the die fair? You suspect that a die has been altered so that th...
 9.9.32: Perform the significance test. Refer to the previous exercise. Find...
 9.9.33: The value of online courses. A Pew Internet survey asked college pr...
 9.9.34: Do the answers depend upon institution type? Refer to the previous ...
 9.9.35: Compare the college presidents with the general public. Refer to Ex...
 9.9.36: Remote deposit capture. The Federal Reserve has called remote depos...
 9.9.37: Health care fraud. Most errors in billing insurance providers for h...
 9.9.38: Population estimates. Refer to the previous exercise. One reason to...
 9.9.39: DFW rates. One measure of student success for colleges and universi...
 9.9.40: Lying to a teacher. One of the questions in a survey of high school...
 9.9.41: When do Canadian students enter private career colleges? A survey o...
 9.9.42: Government loans for Canadian students in private career colleges. ...
 9.9.43: Other funding for Canadian students in private career colleges. Ref...
 9.9.44: Why not use a chisquare test? As part of the study on ongoing frig...
 9.9.45: Waking versus bedtime symptoms. As part of the study on ongoing fri...
 9.9.46: Construct a table with no association. Construct a 3 3 table of cou...
 9.9.47: column totals for a twoway table with two rows and two columns: a ...
 9.9.48: Which model? Refer to Exercises 9.37, 9.39, 9.40, 9.42, and 9.45. F...
 9.9.49: Are Mexican Americans less likely to be selected as jurors? Refer t...
 9.9.50: Goodness of fit to a standard Normal distribution. Computer softwar...
 9.9.51: More on the goodness of fit to a standard Normal distribution. Refe...
 9.9.52: Goodness of fit to the uniform distribution. Computer software gene...
 9.9.53: More on goodness of fit to the uniform distribution. Refer to the p...
 9.9.54: Suspicious results? An instructor who assigned an exercise similar ...
 9.9.55: Is there a random distribution of trees? In Example 6.1 (page 352) ...
Solutions for Chapter 9: Analysis of TwoWay Tables
Full solutions for Introduction to the Practice of Statistics: w/CrunchIt/EESEE Access Card  8th Edition
ISBN: 9781464158933
Solutions for Chapter 9: Analysis of TwoWay Tables
Get Full SolutionsThis expansive textbook survival guide covers the following chapters and their solutions. This textbook survival guide was created for the textbook: Introduction to the Practice of Statistics: w/CrunchIt/EESEE Access Card, edition: 8. Introduction to the Practice of Statistics: w/CrunchIt/EESEE Access Card was written by and is associated to the ISBN: 9781464158933. Since 55 problems in chapter 9: Analysis of TwoWay Tables have been answered, more than 33343 students have viewed full stepbystep solutions from this chapter. Chapter 9: Analysis of TwoWay Tables includes 55 full stepbystep solutions.

`error (or `risk)
In hypothesis testing, an error incurred by rejecting a null hypothesis when it is actually true (also called a type I error).

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

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

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

Conditional probability
The probability of an event given that the random experiment produces an outcome in another event.

Conditional probability distribution
The distribution of a random variable given that the random experiment produces an outcome in an event. The given event might specify values for one or more other random variables

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

Continuous distribution
A probability distribution for a continuous random variable.

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

Correlation coeficient
A dimensionless measure of the linear association between two variables, usually lying in the interval from ?1 to +1, with zero indicating the absence of correlation (but not necessarily the independence of the two variables).

Covariance
A measure of association between two random variables obtained as the expected value of the product of the two random variables around their means; that is, Cov(X Y, ) [( )( )] =? ? E X Y ? ? X Y .

Cumulative normal distribution function
The cumulative distribution of the standard normal distribution, often denoted as ?( ) x and tabulated in Appendix Table II.

Deming
W. Edwards Deming (1900–1993) was a leader in the use of statistical quality control.

Deming’s 14 points.
A management philosophy promoted by W. Edwards Deming that emphasizes the importance of change and quality

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

Estimator (or point estimator)
A procedure for producing an estimate of a parameter of interest. An estimator is usually a function of only sample data values, and when these data values are available, it results in an estimate of the parameter of interest.

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.

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

Generator
Effects in a fractional factorial experiment that are used to construct the experimental tests used in the experiment. The generators also deine the aliases.