Mathematics For Machine Technology
8th Edition
ISBN: 9781337798310
Author: Peterson, John.
Publisher: Cengage Learning,
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Chapter 1, Problem 10A
Express the fractions in Exercises 9 and 10 as thirty-seconds.
10. a.
b.
c.
d.
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find the absolute and ralative
error
X =πI
= 22
x= T
x=1
3-x=-
+x=
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Consider vector to be:
5
v=-15
What is the unit vector of ?
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*Note result values can be negative*
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answer to 4 decimal places]
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What is the angle between the two vectors: v1 = 12i + 9j and v2 = 9i + 12j
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answer to 2 decimal places]
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Chapter 1 Solutions
Mathematics For Machine Technology
Ch. 1 - Write the fractional part that each length, A...Ch. 1 - A welded support base is cut into four pieces as...Ch. 1 - The circle in Figure 1-5 is divided into equal...Ch. 1 - The circle in Figure 1-5 is divided into equal...Ch. 1 - Reduce to halves. a. 48 b. 918 c. 100200 d. 121242Ch. 1 - Reduce to halves. a. 2510 b. 1812 c. 12636 d....Ch. 1 - Reduce numbers to lowest terms in Exercises 7 and...Ch. 1 - Reduce numbers to lowest terms in Exercises 7 and...Ch. 1 - Express the fractions in Exercises 9 and 10 as...Ch. 1 - Express the fractions in Exercises 9 and 10 as...
Ch. 1 - In Exercises 11 and 12, express the given...Ch. 1 - In Exercises 11 and 12, express the given...Ch. 1 - Express the mixed numbers in Exercises 13 and 14...Ch. 1 - Express the mixed numbers in Exercises 13 and 14...Ch. 1 - Express the improper fractions in Exercises 15 and...Ch. 1 - Express the improper fractions in Exercises 15 and...Ch. 1 - Express the mixed numbers in Exercises 17 and 18...Ch. 1 - Express the mixed numbers in Exercises 17 and 18...Ch. 1 - Sketch and redimension the plate shown in Figure...
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- >tt 1:32 > trend.1m 1m (sales > summary(trend.1m) - tt) #3###23 (i) #### Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 2107.220 57.997 36.332e-16 *** tt -43.500 3.067 -14.18 7.72e-15 *** > trend = ts (fitted (trend.1m), start-start (sales), freq-frequency (sales)) sales trend ###23%23 (ii) #### as.numeric((1:32 %% 4) > X > q1 > q2 > q3 > 94 = = = = - as.numeric((1:32 %% 4) as.numeric((1:32 %% 4) as.numeric((1:32 %% 4) == 1) 2) == == 3) == 0) > season.lm = 1m (resid (trend.1m) 0+q1 + q2 + q3 + q4) #3##23%23 (iii) #### > summary(season.1m) Coefficients: Estimate Std. Error t value Pr(>|t|) q1 -38.41 43.27 -0.888 0.38232 92 18.80 43.27 0.435 0.66719 q3 -134.78 43.27 -3.115 0.00422 ** 94 154.38 43.27 3.568 0.00132 ** > season = ts (fitted (season.lm), start=start (sales), freq=frequency (sales)) > Y X season %23%23%23%23 (iv) #### >ar (Y, aic=FALSE, order.max=1) #23%23%23%23 (v) #### Coefficients: 1 0.5704 Order selected 1 sigma 2 estimated as 9431 > ar(Y, aic=FALSE,…arrow_forwardRefer to page 52 for solving the heat equation using separation of variables. Instructions: • • • Write the heat equation in its standard form and apply boundary and initial conditions. Use the method of separation of variables to derive the solution. Clearly show the derivation of eigenfunctions and coefficients. Provide a detailed solution, step- by-step. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qo Hazb9tC440AZF/view?usp=sharing]arrow_forwardRefer to page 20 for orthogonalizing a set of vectors using the Gram-Schmidt process. Instructions: • Apply the Gram-Schmidt procedure to the given set of vectors, showing all projections and subtractions step-by-step. • Normalize the resulting orthogonal vectors if required. • Verify orthogonality by computing dot products between the vectors. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qoHazb9tC440AZF/view?usp=sharing]arrow_forward
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