Mathematical Ideas (13th Edition) - Standalone book
13th Edition
ISBN: 9780321977076
Author: Charles D. Miller, Vern E. Heeren, John Hornsby, Christopher Heeren
Publisher: PEARSON
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Chapter 14.3, Problem 21E
FactorialsIn Exercises 21-24, use a calculator, if necessary, to find the value.
4!
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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.
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a method to train healthy skeletal muscle. EMS sessions consisted of 30 contractions (4-second duration, 85 Hz) and were carried
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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
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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 14 Solutions
Mathematical Ideas (13th Edition) - Standalone book
Ch. 14.1 - Vertices and Edges In Exercises 1-6, determine how...Ch. 14.1 - Vertices and Edges In Exercises 1-6, determine how...Ch. 14.1 - Vertices and Edges In Exercises 1-6, determine how...Ch. 14.1 - Prob. 4ECh. 14.1 - Prob. 5ECh. 14.1 - Prob. 6ECh. 14.1 - Prob. 7ECh. 14.1 - Prob. 8ECh. 14.1 - Prob. 9ECh. 14.1 - Prob. 10E
Ch. 14.1 - Prob. 11ECh. 14.1 - Prob. 12ECh. 14.1 - Prob. 13ECh. 14.1 - Prob. 14ECh. 14.1 - Prob. 15ECh. 14.1 - Prob. 16ECh. 14.1 - Prob. 17ECh. 14.1 - Prob. 18ECh. 14.1 - Prob. 19ECh. 14.1 - Prob. 20ECh. 14.1 - Prob. 21ECh. 14.1 - Prob. 22ECh. 14.1 - Prob. 23ECh. 14.1 - Prob. 24ECh. 14.1 - Prob. 25ECh. 14.1 - Number of Edges In Exercises 23-26, use the...Ch. 14.1 - Prob. 27ECh. 14.1 - Prob. 28ECh. 14.1 - Prob. 29ECh. 14.1 - Prob. 30ECh. 14.1 - Prob. 31ECh. 14.1 - Prob. 32ECh. 14.1 - Prob. 33ECh. 14.1 - Prob. 34ECh. 14.1 - Prob. 35ECh. 14.1 - Prob. 36ECh. 14.1 - Prob. 37ECh. 14.1 - Prob. 38ECh. 14.1 - Prob. 39ECh. 14.1 - Prob. 40ECh. 14.1 - Prob. 41ECh. 14.1 - Prob. 42ECh. 14.1 - Prob. 43ECh. 14.1 - 44. Chess Competition Students from two schools...Ch. 14.1 - Prob. 45ECh. 14.1 - Prob. 46ECh. 14.1 - Prob. 47ECh. 14.1 - Number of Handshakes There are seven people at a...Ch. 14.1 - Prob. 49ECh. 14.1 - Prob. 50ECh. 14.1 - Prob. 51ECh. 14.1 - 52. Students in the Same Class Mary, Erin, Sue,...Ch. 14.1 - Here is another theorem about graphs: In any...Ch. 14.1 - Draw two nonisomorphic (simple) graphs with 6...Ch. 14.1 - Explain why the two graphs drawn in Exercise 54...Ch. 14.1 - Analyzing a Cube with a Graph Draw a graph whose...Ch. 14.1 - Prob. 57ECh. 14.1 - Prob. 58ECh. 14.1 - Prob. 59ECh. 14.1 - Prob. 60ECh. 14.1 - Prob. 61ECh. 14.1 - Prob. 62ECh. 14.1 - Prob. 63ECh. 14.1 - Prob. 64ECh. 14.1 - Prob. 65ECh. 14.1 - Prob. 66ECh. 14.1 - Prob. 67ECh. 14.1 - Prob. 68ECh. 14.1 - Prob. 69ECh. 14.1 - Prob. 70ECh. 14.1 - 71. Inviting Colleagues to a Gathering Several of...Ch. 14.1 - Prob. 72ECh. 14.1 - Prob. 73ECh. 14.1 - Prob. 74ECh. 14.1 - Prob. 75ECh. 14.1 - Graph Coloring In Exercises 75 and 76, draw a...Ch. 14.1 - Prob. 77ECh. 14.1 - Prob. 78ECh. 14.1 - Prob. 79ECh. 14.1 - Prob. 80ECh. 14.1 - Prob. 81ECh. 14.1 - Prob. 82ECh. 14.1 - The Six Degrees of Kevin Bacon Use the Web site...Ch. 14.1 - The Six Degrees of Kevin BaconUse the Web site...Ch. 14.1 - The Six Degrees of Kevin BaconUse the Web site...Ch. 14.1 - The Six Degrees of Kevin Bacon Use the Web...Ch. 14.1 - The Six Degrees of Kevin Bacon Use the Web...Ch. 14.1 - The Six Degrees of Kevin Bacon Use the Web site...Ch. 14.1 - The Six Degrees of Kevin BaconUse the Web site...Ch. 14.1 - The Six Degrees of Kevin BaconUse the Web site...Ch. 14.1 - The Six Degrees of Kevin BaconUse the Web site...Ch. 14.1 - The Six Degrees of Kevin BaconUse the Web site...Ch. 14.1 - 93. Lines from She Walks in Beauty, by Lord...Ch. 14.1 - 94. Lines from Annabel Lee, by Edgar Allan Poe
It...Ch. 14.1 - Poetry Analysis Graphs may be used to clarify the...Ch. 14.1 - 96. Lines from Sailing to Byzantium, by William...Ch. 14.2 - Euler Circuits. In Exercises 1-3, a graph is shown...Ch. 14.2 - Prob. 2ECh. 14.2 - Euler Circuits In Exercises 1-3, a graph is shown...Ch. 14.2 - Prob. 4ECh. 14.2 - Euler's Theorem In Exercises 4-8, use Eulers...Ch. 14.2 - Prob. 6ECh. 14.2 - Euler's Theorem.In Exercises 4-8, use Eider's...Ch. 14.2 - Prob. 8ECh. 14.2 - Euler's Theorem In Exercises 9 and 10, use Eider's...Ch. 14.2 - Prob. 10ECh. 14.2 - Euler's Theorem In Exercises 11-14, use Eider's...Ch. 14.2 - Prob. 12ECh. 14.2 - Euler's Theorem In Exercises 11-14, use Euler's...Ch. 14.2 - Prob. 14ECh. 14.2 - Floor Tilings In Exercises 15-18, different floor...Ch. 14.2 - Prob. 16ECh. 14.2 - Floor Tilings In Exercises 15-18, different floor...Ch. 14.2 - Prob. 18ECh. 14.2 - Prob. 19ECh. 14.2 - Prob. 20ECh. 14.2 - Prob. 21ECh. 14.2 - Prob. 22ECh. 14.2 - Fleury's Algorithm In Exercises 23-25, a graph is...Ch. 14.2 - Prob. 24ECh. 14.2 - Prob. 25ECh. 14.2 - Prob. 26ECh. 14.2 - Fleury's Algorithm In Exercises 26-28\ use...Ch. 14.2 - Prob. 28ECh. 14.2 - Euler's Theorem and Fleury's Algorithm In...Ch. 14.2 - Euler's Theorem and Fleury's Algorithm In...Ch. 14.2 - Euler's Theorem and Fleury's Algorithm In...Ch. 14.2 - Prob. 32ECh. 14.2 - 33. Parking Pattern The map shows the roads on...Ch. 14.2 - Prob. 34ECh. 14.2 - Floor Plans In Exercises 34-36, the floor plan of...Ch. 14.2 - Prob. 36ECh. 14.2 - Exercises 37-44 are based on the following...Ch. 14.2 - Prob. 38ECh. 14.2 - Exercises 37-44 are based on the following...Ch. 14.2 - Prob. 40ECh. 14.2 - Exercises 37-44 are based on the following...Ch. 14.2 - Floor PlansIn Exercises 41-43, refer to the floor...Ch. 14.2 - Prob. 43ECh. 14.2 - Prob. 44ECh. 14.2 - Prob. 45ECh. 14.2 - Prob. 46ECh. 14.2 - Prob. 47ECh. 14.2 - Prob. 48ECh. 14.2 - Prob. 49ECh. 14.2 - Route Planning For each street grid in Exercise...Ch. 14.2 - Route Planning For each street grid in Exercise...Ch. 14.2 - Route Planning For each street grid in Exercise...Ch. 14.3 - Prob. 1ECh. 14.3 - Prob. 2ECh. 14.3 - Euler and Hamilton Circuits In Exercises 3 and 4,...Ch. 14.3 - Euler and Hamilton Circuits In Exercises 3 and 4,...Ch. 14.3 - Hamilton Circuits In Exercises 5-10, determine...Ch. 14.3 - Hamilton Circuits In Exercises 5-10, determine...Ch. 14.3 - Hamilton Circuits In Exercises 5-10, determine...Ch. 14.3 - Hamilton Circuits In Exercises 5-10, determine...Ch. 14.3 - Hamilton Circuits In Exercises 5-10, determine...Ch. 14.3 - Hamilton Circuits In Exercises 5-10, determine...Ch. 14.3 - Prob. 11ECh. 14.3 - Prob. 12ECh. 14.3 - Prob. 13ECh. 14.3 - Decide whether each statement is true or false. If...Ch. 14.3 - Hamilton and Euler Circuits In Exercises 15-20,...Ch. 14.3 - Hamilton and Euler Circuits In Exercises 15-20,...Ch. 14.3 - Hamilton and Euler Circuits In Exercises 15-20,...Ch. 14.3 - Hamilton and Euler Circuits In Exercises 15-20,...Ch. 14.3 - Hamilton and Euler Circuits In Exercises 15-20,...Ch. 14.3 - Hamilton and Euler Circuits In Exercises 15-20,...Ch. 14.3 - FactorialsIn Exercises 21-24, use a calculator, if...Ch. 14.3 - Factorials In Exercises 21-24, use a calculator,...Ch. 14.3 - Factorials In Exercises 21-24, use a calculator,...Ch. 14.3 - Prob. 24ECh. 14.3 - Hamilton Circuit In Exercises 25-28, determine how...Ch. 14.3 - Prob. 26ECh. 14.3 - Prob. 27ECh. 14.3 - Prob. 28ECh. 14.3 - List all Hamilton circuits in the graph that start...Ch. 14.3 - Prob. 30ECh. 14.3 - Prob. 31ECh. 14.3 - Prob. 32ECh. 14.3 - Prob. 33ECh. 14.3 - Prob. 34ECh. 14.3 - Prob. 35ECh. 14.3 - Prob. 36ECh. 14.3 - Prob. 37ECh. 14.3 - Brute Force Algorithm In Exercises 38-41, use the...Ch. 14.3 - Brute Force Algorithm In Exercises 38-41, use the...Ch. 14.3 - Brute Force Algorithm In Exercises 38-41, use the...Ch. 14.3 - Brute Force Algorithm In Exercises 38-41, use the...Ch. 14.3 - Prob. 42ECh. 14.3 - Prob. 43ECh. 14.3 - Nearest Neighbor Algorithm In Exercises 42-44, use...Ch. 14.3 - 45. Nearest Neighbor Algorithm Refer to the...Ch. 14.3 - Prob. 46ECh. 14.3 - Prob. 47ECh. 14.3 - Prob. 48ECh. 14.3 - Prob. 49ECh. 14.3 - Hamilton Circuits In Exercises 47-50, find all...Ch. 14.3 - Traveling Salesman Problem The diagram represents...Ch. 14.3 - Prob. 52ECh. 14.3 - The Icosian Game The graph below shows the Icosian...Ch. 14.3 - Prob. 54ECh. 14.3 - Dirac's Theorem Paul A. M. Dirac proved the...Ch. 14.4 - Prob. 1ECh. 14.4 - Prob. 2ECh. 14.4 - Prob. 3ECh. 14.4 - Prob. 4ECh. 14.4 - Prob. 5ECh. 14.4 - Prob. 6ECh. 14.4 - Prob. 7ECh. 14.4 - Prob. 8ECh. 14.4 - Prob. 9ECh. 14.4 - Prob. 10ECh. 14.4 - Prob. 11ECh. 14.4 - Tree or Not a Tree? In Exercises 11-13, determine...Ch. 14.4 - Prob. 13ECh. 14.4 - Prob. 14ECh. 14.4 - Trees and Cut Edges In Exercises 14-17, determine...Ch. 14.4 - Trees and Cut Edges In Exercises 14-17, determine...Ch. 14.4 - Prob. 17ECh. 14.4 - Prob. 18ECh. 14.4 - Prob. 19ECh. 14.4 - Prob. 20ECh. 14.4 - Prob. 21ECh. 14.4 - Prob. 22ECh. 14.4 - Prob. 23ECh. 14.4 - Prob. 24ECh. 14.4 - Prob. 25ECh. 14.4 - Prob. 26ECh. 14.4 - Prob. 27ECh. 14.4 - Prob. 28ECh. 14.4 - Prob. 29ECh. 14.4 - Prob. 30ECh. 14.4 - Prob. 31ECh. 14.4 - Prob. 32ECh. 14.4 - Prob. 33ECh. 14.4 - Town Water Distribution A town council is planning...Ch. 14.4 - Prob. 35ECh. 14.4 - Prob. 36ECh. 14.4 - Prob. 37ECh. 14.4 - Prob. 38ECh. 14.4 - Prob. 39ECh. 14.4 - For Exercise 34
Trees, Edges, and Vertices Work...Ch. 14.4 - 41. Suppose we have a tree with 10 vertices.
(a)...Ch. 14.4 - Prob. 42ECh. 14.4 - Prob. 43ECh. 14.4 - 44. Design of a Garden Maria has 12 vegetable and...Ch. 14.4 - Prob. 45ECh. 14.4 - Prob. 46ECh. 14.4 - Prob. 47ECh. 14.4 - Prob. 48ECh. 14.4 - Prob. 49ECh. 14.4 - Prob. 50ECh. 14.4 - Prob. 51ECh. 14.4 - Prob. 52ECh. 14.4 - Prob. 53ECh. 14.4 - Prob. 54ECh. 14.4 - Prob. 55ECh. 14.4 - Vertex/Edge Relationship In this exercise, we...Ch. 14 - Basic Concepts In Exercises 1-5, refer to the...Ch. 14 - Basic Concepts In Exercises 1-5, refer to the...Ch. 14 - Prob. 3TCh. 14 - Prob. 4TCh. 14 - Prob. 5TCh. 14 - Prob. 6TCh. 14 - Prob. 7TCh. 14 - Prob. 8TCh. 14 - Planning for Dinner Julia is planning to invite...Ch. 14 - Prob. 10TCh. 14 - Prob. 11TCh. 14 - Prob. 12TCh. 14 - Prob. 13TCh. 14 - Scheduling Exams A teacher at a high school must...Ch. 14 - Prob. 15TCh. 14 - Prob. 16TCh. 14 - Prob. 17TCh. 14 - Prob. 18TCh. 14 - Prob. 19TCh. 14 - Prob. 20TCh. 14 - Prob. 21TCh. 14 - Prob. 22TCh. 14 - Prob. 23TCh. 14 - Prob. 24TCh. 14 - Prob. 25TCh. 14 - 26. Nonisomorphic Trees Draw three nonisomorphic...Ch. 14 - Prob. 27TCh. 14 - Prob. 28TCh. 14 - Prob. 29TCh. 14 - Prob. 30TCh. 14 - Prob. 31TCh. 14 - Prob. 32T
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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
- 8.4.8 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_forwardAnswer questions 8.3.7 and 8.4.1 respectivelyarrow_forwardDon't do 14. Please solve 19arrow_forward
- 8.4.7 Use the data from Exercise 8.4.5 to compute the two-sided Agresti-Coull CI on the proportion of digits read correctly. Compare and discuss the relationship of this interval to the one computed in Exercise 8.4.5.arrow_forward8.6.5 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_forward8.4.4 The Arizona Department of Transportation wishes to survey state residents to determine what proportion of the population would like to increase statewide highway speed limits from 65 mph to 75 mph. How many residents does the department need to survey if it wants to be at least 99% confident that the sample proportion is within 0.05 of the true proportion? 8.4.5 The U.S. Postal Service (USPS) has used optical character recognition (OCR) since the mid-1960s. In 1983, USPS began deploying the technology to major post offices throughout the country (www.britannica.com). Suppose that in a random sample of 500 handwritten zip code digits, 466 were read correctly. a. Construct a 95% confidence interval for the true proportion of correct digits that can be automatically read. b. What sample size is needed to reduce the margin of error to 1%? c. How would the answer to part (b) change if you had to assume that the machine read only one-half of the digits correctly?arrow_forward
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