Numerical Methods
4th Edition
ISBN: 9780495114765
Author: J. Douglas Faires, BURDEN
Publisher: Cengage Learning
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Textbook Question
Chapter 3.5, Problem 17E
The data in the following table give the population of the United States for the years 1960 to 2010 and were considered in Exercise 16 of Section 3.2 and Exercise 6 of Section 3.3.
- Find a natural cubic spline agrecing with these data, and use the spline to predict the population in the years 1950,1975, and 2020
- Compare your approximations with those previously obtained. If you had to make a choice. which interpolation procedure would you choose?
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Business discuss
Spam filters are built on principles similar to those used in logistic regression. We fit a probability that each message is spam or not spam. We have several variables for each email. Here are a few: to_multiple=1 if there are multiple recipients, winner=1 if the word 'winner' appears in the subject line, format=1 if the email is poorly formatted, re_subj=1 if "re" appears in the subject line. A logistic model was fit to a dataset with the following output:
Estimate
SE
Z
Pr(>|Z|)
(Intercept)
-0.8161
0.086
-9.4895
0
to_multiple
-2.5651
0.3052
-8.4047
0
winner
1.5801
0.3156
5.0067
0
format
-0.1528
0.1136
-1.3451
0.1786
re_subj
-2.8401
0.363
-7.824
0
(a) Write down the model using the coefficients from the model fit.log_odds(spam) = -0.8161 + -2.5651 + to_multiple + 1.5801 winner + -0.1528 format + -2.8401 re_subj(b) Suppose we have an observation where to_multiple=0, winner=1, format=0, and re_subj=0. What is the predicted probability that this message is spam?…
Consider an event X comprised of three outcomes whose probabilities are 9/18, 1/18,and 6/18.
Compute the probability of the complement of the event.
Question content area bottom
Part 1
A.1/2
B.2/18
C.16/18
D.16/3
Chapter 3 Solutions
Numerical Methods
Ch. 3.2 - Prob. 1ECh. 3.2 - Prob. 2ECh. 3.2 - Use appropriate Lagrange interpolating polynomials...Ch. 3.2 - Use Nevilles method to obtain the approximations...Ch. 3.2 - Prob. 5ECh. 3.2 - Prob. 6ECh. 3.2 - Prob. 7ECh. 3.2 - Use the Lagrange interpolating polynomial of...Ch. 3.2 - Prob. 9ECh. 3.2 - Prob. 10E
Ch. 3.2 - Prob. 11ECh. 3.2 - Nevilles method is used to approximate f(0.5),...Ch. 3.2 - Prob. 13ECh. 3.2 - Suppose xj=j for j=0,1,2,3 and it is known that...Ch. 3.2 - Nevilles method is used to approximate f(0) using...Ch. 3.2 - Prob. 16ECh. 3.2 - Prob. 17ECh. 3.3 - Prob. 1ECh. 3.3 - Prob. 2ECh. 3.3 - Prob. 3ECh. 3.3 - Prob. 4ECh. 3.3 - Prob. 5ECh. 3.3 - Prob. 6ECh. 3.3 - Prob. 7ECh. 3.3 - Prob. 8ECh. 3.3 - A fourth-degree polynomial P(x) satisfies...Ch. 3.3 - Prob. 10ECh. 3.3 - The Newton forward divided-difference formula is...Ch. 3.3 - For a function f, the Newtons interpolatory...Ch. 3.3 - Prob. 13ECh. 3.4 - Use Hermite interpolation to construct an...Ch. 3.4 - Prob. 2ECh. 3.4 - Use the following values and five-digit rounding...Ch. 3.4 - Let f(x)=3xexe2x Approximate f(1.03) by the...Ch. 3.4 - Prob. 5ECh. 3.4 - The following table lists data for the function...Ch. 3.4 - A car traveling along a straight road is clocked...Ch. 3.4 - Prob. 8ECh. 3.5 - Prob. 1ECh. 3.5 - Prob. 2ECh. 3.5 - Construct the natural cubic spline for the...Ch. 3.5 - The data in Exercise 3 were generated using the...Ch. 3.5 - Construct the clamped cubic spline using the data...Ch. 3.5 - Repeat Exercise 4 using the clamped cubic splines...Ch. 3.5 - Prob. 7ECh. 3.5 - Construct a natural cubic spline to approximate...Ch. 3.5 - Prob. 9ECh. 3.5 - Prob. 10ECh. 3.5 - Prob. 11ECh. 3.5 - A clamped cubic spline s for a function f is...Ch. 3.5 - Prob. 13ECh. 3.5 - Prob. 14ECh. 3.5 - Suppose that f(x) is a polynomial of degree 3....Ch. 3.5 - Suppose the data xi,fxi)i=1n lie on a straight...Ch. 3.5 - The data in the following table give the...Ch. 3.5 - Prob. 18ECh. 3.5 - Prob. 19ECh. 3.5 - It is suspected that the high amounts of tannin in...Ch. 3.6 - Prob. 1ECh. 3.6 - Prob. 2ECh. 3.6 - Construct and graph the cubic BĂ©zier polynomials...Ch. 3.6 - Prob. 4E
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