Differential Equations: An Introduction to Modern Methods and Applications
3rd Edition
ISBN: 9781118531778
Author: James R. Brannan, William E. Boyce
Publisher: WILEY
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Chapter A.4, Problem 13P
In each Problems 11 through 16, find the eigenvalues and a complete orthogonal set of eigenvectors for the given
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29
Suppose that a mound-shaped data set has a
must mean of 10 and standard deviation of 2.
a. About what percentage of the data should
lie between 6 and 12?
b. About what percentage of the data should
lie between 4 and 6?
c. About what percentage of the data should
lie below 4?
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28 Suppose that a mound-shaped data set has a
mean of 10 and standard deviation of 2.
a. About what percentage of the data should
lie between 8 and 12?
b. About what percentage of the data should
lie above 10?
c. About what percentage of the data should
lie above 12?
27 Suppose that you have a data set of 1, 2, 2, 3,
3, 3, 4, 4, 5, and you assume that this sample
represents a population. The mean is 3 and g
the standard deviation is 1.225.10
a. Explain why you can apply the empirical
rule to this data set.
b. Where would "most of the values" in the
population fall, based on this data set?
Chapter A Solutions
Differential Equations: An Introduction to Modern Methods and Applications
Ch. A.1 - Given the matrices...Ch. A.1 - If A=(120321213) and if B=(102011213), find...Ch. A.1 - Demonstrate that A=(223101111) and B=(112011102)...Ch. A.1 - Prove each of the following laws of matrix...Ch. A.1 - 5. If , under what conditions is to be...Ch. A.1 - 6. Prove that sums and products of upper(lower)...Ch. A.1 - Let A=diag(a11,.....ann) be a diagonal matrix....Ch. A.1 - Prove that if A is symmetric and nonsingular, then...Ch. A.1 - Two square matrices A and B are said to commute if...Ch. A.1 - 10. If is any square matrix, show each of the...
Ch. A.2 - In each case, reduce A to row reduce echelon form...Ch. A.2 - In each of Problems 2 through 5, if there exist...Ch. A.2 - In each of Problems 2 through 5, if there exist...Ch. A.2 - In each of Problems 2 through 5, if there exist...Ch. A.2 - In each of Problems 2 through 5, if there exist...Ch. A.2 - In each of Problems 6 through 9. Find the general...Ch. A.2 - In each of Problems 6 through 9. Find the general...Ch. A.2 - In each of Problems 6 through 9. Find the general...Ch. A.2 - In each of Problems 6 through 9. Find the general...Ch. A.2 - In each of Problems 10 through 14, determine...Ch. A.2 - In each of Problems 10 through 14, determine...Ch. A.2 - In each of Problems 10 through 14, determine...Ch. A.2 - In each of Problems 10 through 14, determine...Ch. A.2 - In each of Problems 10 through 14, determine...Ch. A.2 - In each of Problems 15 through 17, determine...Ch. A.2 - In each of Problems 15 through 17, determine...Ch. A.2 - In each of Problems 15 through 17, determine...Ch. A.3 - In each of Problems 1 through 10, use elementary...Ch. A.3 - In each of Problems 1 through 10, use elementary...Ch. A.3 - In each of Problems 1 through 10, use elementary...Ch. A.3 - In each of Problems 1 through 10, use elementary...Ch. A.3 - In each of Problems 1 through 10, use elementary...Ch. A.3 - In each of Problems 1 through 10, use elementary...Ch. A.3 - In each of Problems 1 through 10, use elementary...Ch. A.3 - In each of Problems 1 through 10, use elementary...Ch. A.3 - In each of Problems 1 through 10, use elementary...Ch. A.3 - In each of Problems 1 through 10, use elementary...Ch. A.3 - Let and
Verify that .
Ch. A.3 - If A is nonsingular, show that |A1|=1/|A|.Ch. A.3 - In each of Problems 13 through 15, find all values...Ch. A.3 - In each of Problems 13 through 15, find all values...Ch. A.3 - In each of Problems 13 through 15, find all values...Ch. A.4 - In each of Problems 1 through 10, find all...Ch. A.4 - In each of Problems 1 through 10, find all...Ch. A.4 - In each of Problems 1 through 10, find all...Ch. A.4 - In each of Problems 1 through 10, find all...Ch. A.4 - In each of Problems 1 through 10, find all...Ch. A.4 - In each of Problems 1 through 10, find all...Ch. A.4 - In each of Problems 1 through 10, find all...Ch. A.4 - In each of Problems 1 through 10, find all...Ch. A.4 - In each of Problems 1 through 10, find all...Ch. A.4 - In each of Problems 1 through 10, find all...Ch. A.4 - In each Problems 11 through 16, find the...Ch. A.4 - In each Problems 11 through 16, find the...Ch. A.4 - In each Problems 11 through 16, find the...Ch. A.4 - In each Problems 11 through 16, find the...Ch. A.4 - In each Problems 11 through 16, find the...Ch. A.4 - In each Problems 11 through 16, find the...Ch. A.4 - In each of Problems 17 through 20, use a computer...Ch. A.4 - In each of Problems 17 through 20, use a computer...Ch. A.4 - In each of Problems 17 through 20, use a computer...Ch. A.4 - In each of Problems 17 through 20, use a computer...
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- 30 Explain how you can use the empirical rule to find out whether a data set is mound- shaped, using only the values of the data themselves (no histogram available).arrow_forward5. Let X be a positive random variable with finite variance, and let A = (0, 1). Prove that P(X AEX) 2 (1-A)² (EX)² EX2arrow_forward6. Let, for p = (0, 1), and xe R. X be a random variable defined as follows: P(X=-x) = P(X = x)=p. P(X=0)= 1-2p. Show that there is equality in Chebyshev's inequality for X. This means that Chebyshev's inequality, in spite of being rather crude, cannot be improved without additional assumptions.arrow_forward
- 4. Prove that, for any random variable X, the minimum of EIX-al is attained for a = med (X).arrow_forward8. Recall, from Sect. 2.16.4, the likelihood ratio statistic, Ln, which was defined as a product of independent, identically distributed random variables with mean 1 (under the so-called null hypothesis), and the, sometimes more convenient, log-likelihood, log L, which was a sum of independent, identically distributed random variables, which, however, do not have mean log 1 = 0. (a) Verify that the last claim is correct, by proving the more general statement, namely that, if Y is a non-negative random variable with finite mean, then E(log Y) log(EY). (b) Prove that, in fact, there is strict inequality: E(log Y) < log(EY), unless Y is degenerate. (c) Review the proof of Jensen's inequality, Theorem 5.1. Generalize with a glimpse on (b).arrow_forward2. Derive the component transformation equations for tensors shown be- low where [C] = [BA] is the direction cosine matrix from frame A to B. B[T] = [C]^[T][C]T 3. The transport theorem for vectors shows that the time derivative can be constructed from two parts: the first is an explicit frame-dependent change of the vector whereas the second is an active rotational change of the vector. The same holds true for tensors. Starting from the previous result, derive a version of transport theorem for tensors. [C] (^[T])[C] = dt d B dt B [T] + [WB/A]B[T] – TWB/A] (10 pt) (7pt)arrow_forward
- Use the graph of the function y = f (x) to find the value, if possible. f(x) 8 7 6 Q5 y 3 2 1 x -8 -7 -6 -5 -4 -3 -2 -1 1 2 3 4 5 6 7 8 -1 -2 -3 -4 -5 -6 -7 -8+ Olim f(z) x-1+ O Limit does not exist.arrow_forward3. Prove that, for any random variable X, the minimum of E(X - a)² is attained for a = EX. Provedarrow_forwardShade the areas givenarrow_forward
- 7. Cantelli's inequality. Let X be a random variable with finite variance, o². (a) Prove that, for x ≥ 0, P(X EX2x)≤ 02 x² +0² 202 P(|X - EX2x)<≤ (b) Find X assuming two values where there is equality. (c) When is Cantelli's inequality better than Chebyshev's inequality? (d) Use Cantelli's inequality to show that med (X) - EX ≤ o√√3; recall, from Proposition 6.1, that an application of Chebyshev's inequality yields the bound o√√2. (e) Generalize Cantelli's inequality to moments of order r 1.arrow_forwardThe college hiking club is having a fundraiser to buy new equipment for fall and winter outings. The club is selling Chinese fortune cookies at a price of $2 per cookie. Each cookie contains a piece of paper with a different number written on it. A random drawing will determine which number is the winner of a dinner for two at a local Chinese restaurant. The dinner is valued at $32. Since fortune cookies are donated to the club, we can ignore the cost of the cookies. The club sold 718 cookies before the drawing. Lisa bought 13 cookies. Lisa's expected earnings can be found by multiplying the value of the dinner by the probability that she will win. What are Lisa's expected earnings? Round your answer to the nearest cent.arrow_forwardThe Honolulu Advertiser stated that in Honolulu there was an average of 659 burglaries per 400,000 households in a given year. In the Kohola Drive neighborhood there are 321 homes. Let r be the number of homes that will be burglarized in a year. Use the formula for Poisson distribution. What is the value of p, the probability of success, to four decimal places?arrow_forward
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