Using & Understanding Mathematics: A Quantitative Reasoning Approach (7th Edition)
Using & Understanding Mathematics: A Quantitative Reasoning Approach (7th Edition)
7th Edition
ISBN: 9780134705187
Author: Jeffrey O. Bennett, William L. Briggs
Publisher: PEARSON
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Chapter P, Problem 4DQ

Quantitative Literature. Choose a favorite work of literature (poem, play, short story. or novel). Describe one or more instances in which quantitative reasoning is helpful in understanding the subtleties intended by the author.

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2. Triple Integral Applications 2a. Find the volume of the solids in the first octant which bounded by xy-plane, yz-plane, plane x+y=4 and z = x²+6. 2b. Given the region bounded in between z = r² and z =1, side by the cylinder r² ≤ 4, and in the first and second octant. Determine its volume by using cylindrical coordinate system. 2c. Solving Using Spherical Coordinates 2c. Calculate the volume of region which is bounded above by sphere of 2 x² + y²+z² = 81 and below by cone z = √x² + y² in the first octant.
Schoology X 1. IXL-Write a system of X Project Check #5 | Schx Thomas Edison essay, x Untitled presentation ixl.com/math/algebra-1/write-a-system-of-equations-given-a-graph d.net bookmarks Play Gimkit! - Enter... Imported Imported (1) Thomas Edison Inv... ◄›) What system of equations does the graph show? -8 -6 -4 -2 y 8 LO 6 4 2 -2 -4 -6 -8. 2 4 6 8 Write the equations in slope-intercept form. Simplify any fractions. y = y = = 00 S olo 20
(b) An otherwise fair six-sided die has been tampered with in an attempt to cheat at a dice game. The effect is that the 1 and 6 faces have a different probability of occurring than the 2, 3, 4 and 5 faces. Let θ be the probability of obtaining a 1 on this biased die. Then the outcomes of rolling the biased die have the following probability mass function. Table 1 The p.m.f. of outcomes of rolls of a biased die Outcome 1 2 3 4 5 6 Probability θ 1 4 (1 − 2θ) 1 4 (1 − 2θ) 1 4 (1 − 2θ) 1 4 (1 − 2θ) θ (i) By consideration of the p.m.f. in Table 1, explain why it is necessary for θ to be such that 0 < θ < 1/2. [2] (ii) The value of θ is unknown. Data from which to estimate the value of θ were obtained by rolling the biased die 1000 times. The result of this experiment is shown in Table 2. Table 2 Outcomes of 1000 independent rolls of a biased die Outcome 1 2 3 4 5 6 Frequency 205 154 141 165 145 190 Show that the likelihood of θ based on these data is L(θ) = C θ395 (1 − 2θ) 605 ,…
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