Discrete Mathematics with Graph Theory
3rd Edition
ISBN: 9780131679955
Author: Edgar G. Goodaire
Publisher: Prentice Hall
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Chapter 12.2, Problem 3E
To determine
To prove: The number of spanning trees of
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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
interval with the length of the 99% CI on the population mean.
Answer question S8 stepwise
Chapter 12 Solutions
Discrete Mathematics with Graph Theory
Ch. 12.1 - Prob. 1TFQCh. 12.1 - Prob. 2TFQCh. 12.1 - Prob. 3TFQCh. 12.1 - Prob. 4TFQCh. 12.1 - Prob. 5TFQCh. 12.1 - Prob. 6TFQCh. 12.1 - Prob. 7TFQCh. 12.1 - Prob. 8TFQCh. 12.1 - Prob. 9TFQCh. 12.1 - Prob. 10TFQ
Ch. 12.1 - Prob. 1ECh. 12.1 - Prob. 2ECh. 12.1 - Prob. 3ECh. 12.1 - Prob. 4ECh. 12.1 - Prob. 5ECh. 12.1 - Prob. 6ECh. 12.1 - Prob. 7ECh. 12.1 - Prob. 8ECh. 12.1 - 9. The vertices in the graph represent town; the...Ch. 12.1 - Prob. 11ECh. 12.1 - 12. [BB] suppose and are two paths from a vertex...Ch. 12.1 - Prob. 13ECh. 12.1 - Prob. 14ECh. 12.1 - Prob. 15ECh. 12.1 - Prob. 16ECh. 12.1 - 17. [BB] Recall that a graph is acyclic if it has...Ch. 12.1 - Prob. 18ECh. 12.1 - Prob. 19ECh. 12.1 - Prob. 20ECh. 12.1 - Prob. 21ECh. 12.1 - Prob. 22ECh. 12.1 - The answers to exercises marked [BB] can be found...Ch. 12.1 - Prob. 24ECh. 12.1 - Prob. 25ECh. 12.1 - A forest is a graph every component of which is a...Ch. 12.1 - Prob. 27ECh. 12.2 - Prob. 1TFQCh. 12.2 - Prob. 2TFQCh. 12.2 - Prob. 3TFQCh. 12.2 - Prob. 4TFQCh. 12.2 - Prob. 5TFQCh. 12.2 - Prob. 6TFQCh. 12.2 - Prob. 7TFQCh. 12.2 - Prob. 8TFQCh. 12.2 - Prob. 9TFQCh. 12.2 - Prob. 1ECh. 12.2 - Prob. 2ECh. 12.2 - Prob. 3ECh. 12.2 - Prob. 4ECh. 12.2 - Prob. 5ECh. 12.2 - Prob. 6ECh. 12.2 - Prob. 7ECh. 12.2 - Prob. 8ECh. 12.2 - Prob. 9ECh. 12.2 - Prob. 10ECh. 12.2 - Prob. 11ECh. 12.2 - Prob. 12ECh. 12.2 - Prob. 13ECh. 12.2 - Prob. 14ECh. 12.2 - Prob. 15ECh. 12.2 - Prob. 16ECh. 12.2 - Prob. 17ECh. 12.3 - If Kruskal’s algorithm is applied to after one...Ch. 12.3 - 2. If Kruskal’s algorithm is applied to we might...Ch. 12.3 - 3. If Kruskal’s algorithm is applied to we might...Ch. 12.3 - If Prim’s algorithm is applied to after one...Ch. 12.3 - If Prims algorithm is applied to we might end up...Ch. 12.3 - If Prims algorithm is applied to we might end up...Ch. 12.3 - Prob. 7TFQCh. 12.3 - Prob. 8TFQCh. 12.3 - Prob. 9TFQCh. 12.3 - Prob. 10TFQCh. 12.3 - Prob. 1ECh. 12.3 - Prob. 2ECh. 12.3 - Prob. 3ECh. 12.3 - Prob. 4ECh. 12.3 - The answers to exercises marked [BB] can be found...Ch. 12.3 - Prob. 6ECh. 12.3 - Prob. 7ECh. 12.3 - Prob. 8ECh. 12.3 - Prob. 9ECh. 12.3 - Prob. 10ECh. 12.3 - Prob. 11ECh. 12.3 - In our discussion of the complexity of Kruskals...Ch. 12.3 - Prob. 13ECh. 12.3 - Prob. 14ECh. 12.3 - Prob. 15ECh. 12.3 - Prob. 16ECh. 12.3 - Prob. 17ECh. 12.3 - Prob. 18ECh. 12.4 - The digraph pictured by is a cyclic.Ch. 12.4 - Prob. 2TFQCh. 12.4 - Prob. 3TFQCh. 12.4 - Prob. 4TFQCh. 12.4 - Prob. 5TFQCh. 12.4 - Prob. 6TFQCh. 12.4 - Prob. 7TFQCh. 12.4 - Prob. 8TFQCh. 12.4 - Prob. 9TFQCh. 12.4 - Prob. 10TFQCh. 12.4 - Prob. 1ECh. 12.4 - Prob. 2ECh. 12.4 - Prob. 3ECh. 12.4 - Prob. 4ECh. 12.4 - 5. The algorithm described in the proof of...Ch. 12.4 - How many shortest path algorithms can you name?...Ch. 12.4 - Prob. 7ECh. 12.4 - Prob. 8ECh. 12.4 - Prob. 10ECh. 12.4 - Prob. 11ECh. 12.4 - Prob. 12ECh. 12.4 - [BB] Explain how Bellmans algorithm can be...Ch. 12.4 - Prob. 14ECh. 12.5 - Prob. 1TFQCh. 12.5 - Depth-first search has assigned labels 1 and 2 as...Ch. 12.5 - Depth-first search has assigned labels 1 and 2 as...Ch. 12.5 - Prob. 4TFQCh. 12.5 - Prob. 5TFQCh. 12.5 - Prob. 6TFQCh. 12.5 - Prob. 7TFQCh. 12.5 - Prob. 8TFQCh. 12.5 - 9. Breadth-first search (see exercise 10) has...Ch. 12.5 - Prob. 10TFQCh. 12.5 - Prob. 1ECh. 12.5 - Prob. 2ECh. 12.5 - Prob. 3ECh. 12.5 - 4. (a) [BB] Let v be a vertex in a graph G that is...Ch. 12.5 - Prob. 5ECh. 12.5 - Prob. 6ECh. 12.5 - Prob. 7ECh. 12.5 - Prob. 8ECh. 12.5 - Prob. 9ECh. 12.5 - Prob. 10ECh. 12.5 - [BB; (a)] Apply a breath-first search to each of...Ch. 12.5 - Prob. 12ECh. 12.5 - Prob. 13ECh. 12.5 - Prob. 14ECh. 12.6 - Prob. 1TFQCh. 12.6 - Prob. 2TFQCh. 12.6 - Prob. 3TFQCh. 12.6 - Prob. 4TFQCh. 12.6 - Prob. 5TFQCh. 12.6 - Prob. 6TFQCh. 12.6 - Prob. 7TFQCh. 12.6 - Prob. 8TFQCh. 12.6 - Prob. 9TFQCh. 12.6 - Prob. 10TFQCh. 12.6 - Prob. 1ECh. 12.6 - Prob. 2ECh. 12.6 - Prob. 3ECh. 12.6 - Prob. 4ECh. 12.6 - Prob. 5ECh. 12.6 - Prob. 6ECh. 12.6 - Prob. 7ECh. 12.6 - Prob. 8ECh. 12.6 - Prob. 9ECh. 12.6 - Prob. 10ECh. 12.6 - Prob. 11ECh. 12.6 - Prob. 12ECh. 12.6 - Prob. 13ECh. 12.6 - Prob. 14ECh. 12.6 - Prob. 15ECh. 12 - Prob. 1RECh. 12 - Prob. 2RECh. 12 - Prob. 3RECh. 12 - Prob. 4RECh. 12 - 5. (a) Let G be a graph with the property that...Ch. 12 - Prob. 6RECh. 12 - Prob. 7RECh. 12 - Prob. 8RECh. 12 - Prob. 9RECh. 12 - Prob. 10RECh. 12 - Prob. 11RECh. 12 - Prob. 12RECh. 12 - Prob. 13RECh. 12 - Prob. 14RECh. 12 - Prob. 15RECh. 12 - Prob. 16RECh. 12 - Prob. 17RECh. 12 - Prob. 18RECh. 12 - In each of the following graphs, a depth-first...Ch. 12 - Prob. 20RECh. 12 - Prob. 21RECh. 12 - Prob. 22RECh. 12 - Prob. 23RECh. 12 - Prob. 24RECh. 12 - Prob. 25RECh. 12 - Prob. 26RE
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- Answer 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_forward8.4.8 Use the data from Exercise 8.4.2 to compute the two-sided Agresti-Coull CI on the proportion of tears that heal. Compare and discuss the relationship of this interval to the one computed in Exercise 8.4.2.arrow_forward
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- Answer questions 8.2.9 and 8.2.10 respectivelyarrow_forwardAnswer questions 8.3.5 and 8.3.6 respectivelyarrow_forward8.6.4 Consider the test on the compressive strength of concrete described in Exercise 8.2.9. Compute a 90% prediction interval on the next specimen of concrete tested. 8.6.5 . SS Consider the fuel rod enrichment data described in Exercise 8.2.11. Compute a 90% prediction interval on the enrichment of the next rod tested. Compare the length of the prediction interval with the length of the 99% CI on the population mean.arrow_forward
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