Numerical Analysis
3rd Edition
ISBN: 9780134696454
Author: Sauer, Tim
Publisher: Pearson,
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Chapter 5.1, Problem 6E
Use the three-point centered-difference formula for the second derivative to approximate
(a)
(b)
(c)
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Don't do 14. Please solve 19
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.
8.6.5 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.
Chapter 5 Solutions
Numerical Analysis
Ch. 5.1 - Use the two-point forward-difference formula to...Ch. 5.1 - Use the three-point centered-difference formula to...Ch. 5.1 - Use the two-point forward-difference formula to...Ch. 5.1 - Carry out the steps of Exercise 3, using the...Ch. 5.1 - Use the three-point centered-difference formula...Ch. 5.1 - Use the three-point centered-difference formula...Ch. 5.1 - Develop a formula for a two-point...Ch. 5.1 - Prove the second-order formula for the first...Ch. 5.1 - Develop a second-order formula for the first...Ch. 5.1 - Find the error term and order formula for the...
Ch. 5.1 - Find a second-order formula for approximating by...Ch. 5.1 - (a) Compute the two-point forward-difference...Ch. 5.1 - Develop a second-order method for approximating ...Ch. 5.1 - Extrapolate the formula developed in Exercise...Ch. 5.1 - Develop a first-order method for approximating ...Ch. 5.1 - Apply extrapolation to the formula developed in...Ch. 5.1 - Develop a second-order method for approximating ...Ch. 5.1 - Find, an upper bound for the error of the machine...Ch. 5.1 - Prove the second-order formula for the third...Ch. 5.1 - Prove the second-order formula for the third...Ch. 5.1 - Prob. 21ECh. 5.1 - This exercise justifies the beam equations (2.33)...Ch. 5.1 - Use Taylor expansions to prove that (5.16) is a...Ch. 5.1 - Prob. 24ECh. 5.1 - Investigate the reason for the name extrapolation....Ch. 5.1 - Make a table of the error of the three-point...Ch. 5.1 - Make a table and plot of the error of the...Ch. 5.1 - Make a table and plot of the error of the...Ch. 5.1 - Prob. 4CPCh. 5.1 - Prob. 5CPCh. 5.2 - Apply the composite Trapezoid Rule with , , and 4...Ch. 5.2 - Apply the Composite Midpoint Rule with, , and 4...Ch. 5.2 - Apply the composite Simpson’s Rule with, 2, and 4...Ch. 5.2 - Apply the composite Simpson’s Rule with, 2, and 4...Ch. 5.2 - Apply the Composite Midpoint Rule with, 2, and 4...Ch. 5.2 - Apply the Composite Midpoint Rule with, 2, and 4...Ch. 5.2 - Prob. 7ECh. 5.2 - Apply the open Newton-Cotes Rule (5.28) to...Ch. 5.2 - Apply Simpson’s Rule approximation to, and show...Ch. 5.2 - Integrate Newton’s divided-difference...Ch. 5.2 - Find the degree of precision of the following...Ch. 5.2 - Prob. 12ECh. 5.2 - Develop a composite version of the rule (5.28),...Ch. 5.2 - Prove the Composite Midpoint Rule (5.27).
Ch. 5.2 - Find the degree of precision of the degree four...Ch. 5.2 - Use the fact that the error term of Boole’s Rule...Ch. 5.2 - Prob. 17ECh. 5.2 - Prob. 1CPCh. 5.2 - Prob. 2CPCh. 5.2 - Prob. 3CPCh. 5.2 - Prob. 4CPCh. 5.2 - Prob. 5CPCh. 5.2 - Prob. 6CPCh. 5.2 - Apply the Composite Midpoint Rule to the improper...Ch. 5.2 - The arc length of the curve defined by from to ...Ch. 5.2 - Prob. 9CPCh. 5.2 - Prob. 10CPCh. 5.3 - Apply Romberg Integration to find for the...Ch. 5.3 - Apply Romberg Integration to find for the...Ch. 5.3 - Prob. 3ECh. 5.3 - Prob. 4ECh. 5.3 - Prove formula (5.31).
Ch. 5.3 - Prove formula (5.35).
Ch. 5.3 - Use Romberg Integration approximation to...Ch. 5.3 - Use Romberg Integration to approximate the...Ch. 5.3 - (a) Test the order of the second column of Romberg...Ch. 5.4 - Apply Adaptive Quadrature by hand, using the...Ch. 5.4 - Apply Adaptive Quadrature by hand, using Simpson’s...Ch. 5.4 - Prob. 3ECh. 5.4 - Develop an Adaptive Quadrature method for rule...Ch. 5.4 - Use Adaptive Trapezoid Quadrature to approximate...Ch. 5.4 - Modify the MATLAB code for Adaptive Trapezoid Rule...Ch. 5.4 - Carry out the steps of Computer Problem 1 for...Ch. 5.4 - Carry out the steps of Computer Problem 1 for the...Ch. 5.4 - Carry out the steps of Computer Problem 1 for the...Ch. 5.4 - Use Adaptive Trapezoid Quadrature to approximate...Ch. 5.4 - Carry out the steps of Problem 6, using Adaptive...Ch. 5.4 - The probability within standard deviations of the...Ch. 5.4 - Write a MATLAB function called myerf.m that uses...Ch. 5.5 - Approximate the integrals, using Gaussian...Ch. 5.5 - Prob. 2ECh. 5.5 - Approximate the integrals in Exercise 1, using ...Ch. 5.5 - Change variables, using the substitution (5.46) to...Ch. 5.5 - Approximate the integrals in Exercise 4, using ...Ch. 5.5 - Approximate the integrals, using Gaussian...Ch. 5.5 - Prob. 7ECh. 5.5 - Find the Legendre polynomials up to degree 3 and...Ch. 5.5 - Prob. 9ECh. 5.5 - Verify the coefficients and in Table 5.1 for...Ch. 5.5 - Write a MATLAB function that uses Adaptive...Ch. 5.5 - Write a program that, for any input between 0 and...Ch. 5.5 - Equipartition the path of Figure 5.6 into ...Ch. 5.5 - Prob. 4SACh. 5.5 - Prob. 5SACh. 5.5 - Prob. 6SACh. 5.5 - Write a program that traverses the path according...
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- 8.4.4 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_forwardAnswer questions 8S7 and 8S14arrow_forwardAnswer questions 8.2.9 and 8.2.10 respectivelyarrow_forward
- Answer 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_forwardAnswer questions 8S10 and 8S11 respectively.arrow_forward
- 8.4.6 Information on a packet of seeds claims that 93% of them will germinate. Of the 200 seeds that were planted, only 180 germinated. a. Find a 95% confidence interval for the true proportion of seeds that germinate based on this sample. b. Does this seem to provide evidence that the claim is wrong? 8.6.1 Consider the tire-testing data described in Exercise 8.2.3. Compute a 95% prediction interval on the life of the next tire of this type tested under conditions that are similar to those employed in the original test. Compare the length of the prediction interval with the length of the 95% CI on the population mean.arrow_forwardPlease solve 14 and 15arrow_forward1. Consider the following system of equations: x13x2 + 4x3 - 5x4 = 7 -2x13x2 + x3 - 6x4 = 7 x16x213x3 - 21x4 = 28 a) Solve the system. Write your solution in parametric and vector form. b) What is a geometric description of the solution. 7 c) Is v = 7 in the span of the set S= [28. 1 HE 3 -5 3 ·6 ? If it is, write v 6 as a linear combination of the vectors in S. Justify. d) How many solutions are there to the associated homogeneous system for the system above? Justify. e) Let A be the coefficient matrix from the system above. Find the set of all solutions to Ax = 0. f) Is there a solution to Ax=b for all b in R³? Justify.arrow_forward
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