Mathematics: A Discrete Introduction
3rd Edition
ISBN: 9780840049421
Author: Edward A. Scheinerman
Publisher: Cengage Learning
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Chapter 2.8, Problem 8.2E
Airports have names, but they also have three-letter codes. For example, the airport serving Baltimore is BWI, and the code YYY is for the airport in Mont Joli, Quebec, Canada. How many different airport codes are possible?
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Answer questions 8.3.3 and 8.3.4 respectively
8.3.4 .WP An article in Medicine and Science in Sports and
Exercise [“Electrostimulation Training Effects on the Physical Performance of Ice Hockey Players” (2005, Vol. 37, pp.
455–460)] considered the use of electromyostimulation (EMS) as
a method to train healthy skeletal muscle. EMS sessions consisted of 30 contractions (4-second duration, 85 Hz) and were carried
out three times per week for 3 weeks on 17 ice hockey players.
The 10-meter skating performance test showed a standard deviation of 0.09 seconds. Construct a 95% confidence interval of the
standard deviation of the skating performance test.
8.6.7 Consider the tire-testing data in Exercise 8.2.3. Compute a 95% tolerance interval on the life of the tires that has confidence level 95%. Compare the length of the tolerance interval with the length of the 95% CI on the population mean. Which interval is shorter? Discuss the difference in interpretation of these two intervals.
8.6.2 Consider the natural frequency of beams described in
Exercise 8.2.8. Compute a 90% prediction interval on the
diameter of the natural frequency of the next beam of this type
that will be tested. Compare the length of the prediction interval
with the length of the 90% CI on the population mean.
8.6.3 Consider the television tube brightness test described in
Exercise 8.2.7. Compute a 99% prediction interval on the brightness of the next tube tested. Compare the length of the prediction
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Chapter 2 Solutions
Mathematics: A Discrete Introduction
Ch. 2.8 - Write out all the possible two-letter words one...Ch. 2.8 - Airports have names, but they also have...Ch. 2.8 - Prob. 8.3ECh. 2.8 - Prob. 8.4ECh. 2.8 - Prob. 8.5ECh. 2.8 - Prob. 8.6ECh. 2.8 - Prob. 8.7ECh. 2.8 - Prob. 8.8ECh. 2.8 - Prob. 8.9ECh. 2.8 - Prob. 8.10E
Ch. 2.8 - Prob. 8.11ECh. 2.8 - Prob. 8.12ECh. 2.8 - Prob. 8.13ECh. 2.8 - Prob. 8.14ECh. 2.8 - Prob. 8.15ECh. 2.8 - Prob. 8.16ECh. 2.8 - Prob. 8.17ECh. 2.8 - Prob. 8.18ECh. 2.8 - Prob. 8.19ECh. 2.9 - Prob. 9.1ECh. 2.9 - Prob. 9.2ECh. 2.9 - Prob. 9.3ECh. 2.9 - Prob. 9.4ECh. 2.9 - Prob. 9.5ECh. 2.9 - Prob. 9.6ECh. 2.9 - Prob. 9.7ECh. 2.9 - Prob. 9.8ECh. 2.9 - Prob. 9.9ECh. 2.9 - Prob. 9.10ECh. 2.9 - Prob. 9.11ECh. 2.9 - Prob. 9.12ECh. 2.9 - Prob. 9.13ECh. 2.9 - Prob. 9.14ECh. 2.9 - Prob. 9.15ECh. 2.9 - Prob. 9.16ECh. 2.9 - Prob. 9.17ECh. 2.9 - Prob. 9.18ECh. 2.10 - Prob. 10.1ECh. 2.10 - Prob. 10.2ECh. 2.10 - Prob. 10.3ECh. 2.10 - Prob. 10.4ECh. 2.10 - Prob. 10.5ECh. 2.10 - Prob. 10.6ECh. 2.10 - Prob. 10.7ECh. 2.10 - Prob. 10.8ECh. 2.10 - Prob. 10.9ECh. 2.10 - Let A=x:4x and let B=x:2x. Prove that AB.Ch. 2.10 - Prob. 10.11ECh. 2.10 - Prob. 10.12ECh. 2.10 - Prob. 10.13ECh. 2.10 - Prob. 10.14ECh. 2.10 - Prob. 10.15ECh. 2.11 - Write the following sentences using the quantifier...Ch. 2.11 - Prob. 11.2ECh. 2.11 - Prob. 11.3ECh. 2.11 - Prob. 11.4ECh. 2.11 - Prob. 11.5ECh. 2.11 - Prob. 11.6ECh. 2.11 - Prob. 11.7ECh. 2.11 - Prob. 11.8ECh. 2.12 - Prob. 12.1ECh. 2.12 - Prob. 12.2ECh. 2.12 - Prob. 12.3ECh. 2.12 - Prob. 12.4ECh. 2.12 - Prob. 12.5ECh. 2.12 - Prob. 12.6ECh. 2.12 - Prob. 12.7ECh. 2.12 - Prob. 12.8ECh. 2.12 - Prob. 12.9ECh. 2.12 - Prob. 12.10ECh. 2.12 - Prob. 12.11ECh. 2.12 - Prob. 12.12ECh. 2.12 - Prob. 12.13ECh. 2.12 - Prob. 12.14ECh. 2.12 - Prob. 12.15ECh. 2.12 - Prob. 12.16ECh. 2.12 - Prob. 12.17ECh. 2.12 - Prob. 12.18ECh. 2.12 - Prob. 12.19ECh. 2.12 - Prob. 12.20ECh. 2.12 - Prob. 12.21ECh. 2.12 - Prob. 12.22ECh. 2.12 - Prob. 12.23ECh. 2.12 - Prob. 12.24ECh. 2.12 - Prob. 12.25ECh. 2.12 - Prob. 12.26ECh. 2.12 - Prob. 12.27ECh. 2.12 - Prob. 12.28ECh. 2.12 - Prob. 12.29ECh. 2.12 - Prob. 12.30ECh. 2.13 - Prob. 13.1ECh. 2.13 - Prob. 13.2ECh. 2.13 - Prob. 13.3ECh. 2.13 - Prob. 13.4ECh. 2.13 - Prob. 13.5ECh. 2.13 - Prob. 13.6ECh. 2.13 - Prob. 13.7ECh. 2 - Prob. 1STCh. 2 - Prob. 2STCh. 2 - Prob. 3STCh. 2 - Prob. 4STCh. 2 - Prob. 5STCh. 2 - Prob. 6STCh. 2 - Prob. 7STCh. 2 - Prob. 8STCh. 2 - Prob. 9STCh. 2 - Prob. 10STCh. 2 - Prob. 11STCh. 2 - Prob. 12STCh. 2 - Prob. 13STCh. 2 - Prob. 14STCh. 2 - Prob. 15STCh. 2 - Prob. 16STCh. 2 - Prob. 17STCh. 2 - Prob. 18STCh. 2 - Prob. 19STCh. 2 - Prob. 20ST
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- Answer question S8 stepwisearrow_forwardAnswer questions 8.2.11 and 8.2.12 respectivelyarrow_forward8.4.2 An article in Knee Surgery, Sports Traumatology, Arthroscopy [“Arthroscopic Meniscal Repair with an Absorbable Screw: Results and Surgical Technique” (2005, Vol. 13, pp. 273–279)] showed that only 25 out of 37 tears (67.6%) located between 3 and 6 mm from the meniscus rim were healed. a. Calculate a two-sided 95% confidence interval on the proportion of such tears that will heal. b. Calculate a 95% lower confidence bound on the proportion of such tears that will heal. 8.4.3 An article in the Journal of the American Statistical Association [“Illustration of Bayesian Inference in Normal Data Models Using Gibbs Sampling” (1990, Vol. 85, pp. 972–985)] measured the weight of 30 rats under experiment controls. Suppose that 12 were underweight rats. a. Calculate a 95% two-sided confidence interval on the true proportion of rats that would show underweight from the experiment. b. Using the point estimate of p obtained from the preliminary sample, what sample size is needed to be 95%…arrow_forward
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