 12.12E:
 12.13E: The accompanying data on x = current density (mA/cm2) and y = rate ...
 12.14E: Refer to the tank temperature–efficiency ratio data given in Exerci...
 12.15E: Values of modulus of elasticity (MOE, the ratio of stress, i.e., fo...
 12.16E: The article “Characterization of Highway Runoff in Austin, Texas, A...
 12.17E: Nofines concrete, made from a uniformly graded coarse aggregate an...
 12.18E: For the past decade, rubber powder has been used in asphalt cement ...
 12.19E: The following data is representative of that reported in the articl...
 12.20E:
 12.21E: Wrinkle recovery angle and tensile strength are the two most import...
 12.22E: Calcium phosphate cement is gaining increasing attention for use in...
 12.23E: a. Obtain SSE for the data in Exercise 19 from the defining formula...
 12.24E: The invasive diatom species Didymosphenia geminate has the potentia...
 12.25E: Show that b1 and b0 of expressions (12.2) and (12.3) satisfy the no...
 12.26E: Show that the “point of averages” lies on the estimated regression ...
 12.27E: Suppose an investigator has data on the amount of shelf space x dev...
 12.28E: a. Consider the data in Exercise 20. Suppose that instead of the le...
 12.29E: Consider the following three data sets, in which the variables of i...
 12.30E: Reconsider the situation described in Exercise 7, in which x = acce...
 12.31E: During oil drilling operations, components of the drilling assembly...
 12.32E: Exercise 16 of Section 12.2 gave data on x = rainfall volume and y ...
 12.33E: Exercise 15 of Section 12.2 included Minitab output for a regressio...
 12.35E: How does lateral acceleration—side forces experienced in turns that...
 12.36E: Mist (airborne droplets or aerosols) is generated when metalremovi...
 12.37E: Magnetic resonance imaging (MRI) is well established as a tool for ...
 12.38E: Refer to the data on x = liberation rate and y = NOx emissionrate g...
 12.39E: Carry out the model utility test using the ANOVA approach for the f...
 12.40E: Use the rules of expected value to show that is unbiased for ?1 ).
 12.41E: a. Verify that by using the rules of expected value from Chapter 5....
 12.42E: Verify that if each xi is multiplied by a positive constant c and e...
 12.43E: The probability of a type II error for the t test for H0 : ?1 = ?10...
 12.44E: Fitting the simple linear regression model to the n = 27 observatio...
 12.45E: Reconsider the filtration rate–moisture content data introduced in ...
 12.46E: Astringency is the quality in a wine that makes the wine drinker’s ...
 12.47E: The simple linear regression model provides a very good fit to the ...
 12.48E: The catch basin in a stormsewer system is the interface between su...
 12.49E: You are told that a 95% CI for expected lead content when traffic f...
 12.50E: Silicongermanium alloys have been used in certain types of solar c...
 12.51E: Refer to Example 12.12 in which x = test track speed and y = rollin...
 12.52E: Plasma etching is essential to the fineline pattern transfer in cu...
 12.53E: Consider the following four intervals based on the data of Exercise...
 12.54E:
 12.55E: Verify that is indeed given by the expression in the text. [Hint:
 12.56E: The article “Bone Density and Insertion Torque as Predictors of Ant...
 12.57E: The article “Behavioural Effects of Mobile Telephone Use During Sim...
 12.58E: The Turbine Oil Oxidation Test (TOST) and the Rotating Bomb Oxidati...
 12.59E: Toughness and fibrousness of asparagus are major determinants of qu...
 12.60E: Head movement evaluations are important because individuals, especi...
 12.61E: The authors of the paper “Objective Effects of a Six Months’ Endura...
 12.62E: The article "Quantitative Estimation of Clay Mineralogy in FineGra...
 12.63E: Physical properties of six flameretardant fabric samples were inve...
 12.64E:
 12.65E: Torsion during hip external rotation and extension may explain why ...
 12.66E: Consider a time series—that is, a sequence of observations X1, X2,…...
 12.67E: A sample of n = 500(x, y) pairs was collected and a test of H0: ? =...
 12.68E: The appraisal of a warehouse can appear straightforward compared to...
 12.69E: Refer to the previous exercise, which gives data on truss heights f...
 12.70E: Forensic scientists are often interested in making a measurement of...
 12.73E: The presence of hard alloy carbides in high chromium white iron all...
 12.72E: The SAS output at the bottom of this page is based on data from the...
 12.74E: The accompanying data was read from a scatter plot in the article “...
 12.76E: “Modemixity” refers to how much of crack propagation is attributab...
 12.75E: An investigation was carried out to study the relationship between ...
 12.77E: Open water oil spills can wreak terrible consequences on the enviro...
 12.78E: In Section 12.4, we presented a formula for and a CI for . Taking x...
 12.79E: Show that , which gives an alternative computational formula for SSE.
 12.80E: Suppose that x and y are positive variables and that a sample of n ...
 12.81E: Let sx and sy denote the sample standard deviations of the observed...
 12.82E: Verify that the t statistic for testing H0: ?1 = 0 in Section 12.3 ...
 12.83E: Use the formula for computing SSE to verify that r2 =1– SSE/SST.
 12.84E: In biofiltration of wastewater, air discharged from a treatment fac...
 12.85E: Normal hatchery processes in aquaculture inevitably produce stress ...
 12.86E: The article “Evaluating the BOD POD for Assessing Body Fat in Colle...
 12.87E: Reconsider the situation of Exercise 73, in which x = retained aust...
 12.1E: The efficiency ratio for a steel specimen immersed in a phosphating...
 12.2E: The article “Exhaust Emissions from FourStroke Lawn Mower Engines”...
 12.3E: Bivariate data often arises from the use of two different technique...
 12.4E: The accompanying data on y = ammonium concentration (mg/L) and x = ...
 12.5E: The article “Objective Measurement of the Stretchability of Mozzare...
 12.6E: One factor in the development of tennis elbow, a malady that strike...
 12.7E: The article “Some Field Experience in the Use of an Accelerated Met...
 12.8E: Referring to Exercise 7, suppose that the standard deviation of the...
 12.9E: The flow rate y (m3/min) in a device used for airquality measureme...
 12.10E: Suppose the expected cost of a production run is related to the siz...
 12.11E: Suppose that in a certain chemical process the reaction time y (hr)...
 12.68: The appraisal of a warehouse can appear straightforwardcompared to ...
 12.69: Refer to the previous exercise, which gives data on trussheights fo...
 12.70: Forensic scientists are often interested in making a measurementof ...
 12.71: Phenolic compounds are found in the effluents of coalconversion pro...
 12.72: The SAS output at the bottom of this page is based ondata from the ...
 12.73: The presence of hard alloy carbides in high chromiumwhite iron allo...
 12.74: The accompanying data was read from a scatterplot inthe article Urb...
 12.75: An investigation was carried out to study the relationshipbetween s...
 12.76: Modemixity refers to how much of crack propagation isattributable ...
 12.77: Open water oil spills can wreak terrible consequences onthe environ...
 12.78: In Section 12.4, we presented a formula for Vsb0 1 b1x*dand a CI fo...
 12.79: Show that SSE 5 Syy 2 b1Sxy, which gives an alternativecomputationa...
 12.80: Suppose that x and y are positive variables and that asample of n p...
 12.81: Let sx and sy denote the sample standard deviations of theobserved ...
 12.82: Verify that the t statistic for testing H0: b1 5 0 in Section12.3 i...
 12.83: Use the formula for computing SSE to verify thatr2 5 1 2 SSE/SST
 12.84: In biofiltration of wastewater, air discharged from a treatmentfaci...
 12.85: Normal hatchery processes in aquaculture inevitably producestress i...
 12.86: The article Evaluating the BOD POD for AssessingBody Fat in Collegi...
 12.87: Reconsider the situation of Exercise 73, in which x 5retained auste...
Solutions for Chapter 12: Supplementary Exercises
Full solutions for Probability and Statistics for Engineering and the Sciences  9th Edition
ISBN: 9781305251809
Solutions for Chapter 12: Supplementary Exercises
Get Full SolutionsThis textbook survival guide was created for the textbook: Probability and Statistics for Engineering and the Sciences, edition: 9. Chapter 12: Supplementary Exercises includes 105 full stepbystep solutions. Since 105 problems in chapter 12: Supplementary Exercises have been answered, more than 64268 students have viewed full stepbystep solutions from this chapter. Probability and Statistics for Engineering and the Sciences was written by and is associated to the ISBN: 9781305251809. This expansive textbook survival guide covers the following chapters and their solutions.

Adjusted R 2
A variation of the R 2 statistic that compensates for the number of parameters in a regression model. Essentially, the adjustment is a penalty for increasing the number of parameters in the model. Alias. In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.

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

Asymptotic relative eficiency (ARE)
Used to compare hypothesis tests. The ARE of one test relative to another is the limiting ratio of the sample sizes necessary to obtain identical error probabilities for the two procedures.

Attribute control chart
Any control chart for a discrete random variable. See Variables control chart.

Bayes’ estimator
An estimator for a parameter obtained from a Bayesian method that uses a prior distribution for the parameter along with the conditional distribution of the data given the parameter to obtain the posterior distribution of the parameter. The estimator is obtained from the posterior distribution.

Bayes’ theorem
An equation for a conditional probability such as PA B (  ) in terms of the reverse conditional probability PB A (  ).

Bias
An effect that systematically distorts a statistical result or estimate, preventing it from representing the true quantity of interest.

Chisquare (or chisquared) random variable
A continuous random variable that results from the sum of squares of independent standard normal random variables. It is a special case of a gamma random variable.

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

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

Correlation
In the most general usage, a measure of the interdependence among data. The concept may include more than two variables. The term is most commonly used in a narrow sense to express the relationship between quantitative variables or ranks.

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 .

Critical region
In hypothesis testing, this is the portion of the sample space of a test statistic that will lead to rejection of the null hypothesis.

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.

Dependent variable
The response variable in regression or a designed experiment.

Eficiency
A concept in parameter estimation that uses the variances of different estimators; essentially, an estimator is more eficient than another estimator if it has smaller variance. When estimators are biased, the concept requires modiication.

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.

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.

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.

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.