Introductory Combinatorics
5th Edition
ISBN: 9780136020400
Author: Richard A. Brualdi
Publisher: Prentice Hall
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Chapter 7, Problem 31E
To determine
To solve: The recurrence relation
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Find the flux of the vector field F = (y,−x, 2²) through the helicoid with parameterization
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8.1.13 WP GO Tutorial An article in the Journal of Agricultural
Science ["The Use of Residual Maximum Likelihood to Model
Grain Quality Characteristics of Wheat with Variety, Climatic
and Nitrogen Fertilizer Effects” (1997, Vol. 128, pp. 135–142)]
investigated means of wheat grain crude protein content (CP) and
Hagberg falling number (HFN) surveyed in the United Kingdom.
The analysis used a variety of nitrogen fertilizer applications (kg
N/ha), temperature (°C), and total monthly rainfall (mm). The
following data below describe temperatures for wheat grown at
Harper Adams Agricultural College between 1982 and 1993. The
temperatures measured in June were obtained as follows:
15.2
14.2
14.0
12.2
14.4
12.5
14.3
14.2
13.5
11.8
15.2
Assume that the standard deviation is known to be σ = 0.5.
a. Construct a 99% two-sided confidence interval on the
mean temperature.
b. Construct a 95% lower-confidence bound on the mean
temperature.
c. Suppose that you wanted to be 95% confident that…
Chapter 7 Solutions
Introductory Combinatorics
Ch. 7 - Prob. 1ECh. 7 - Prove that the nth Fibonacci number fn is the...Ch. 7 - Prove the following about the Fibonacci...Ch. 7 - 4. Prove that the Fibonacci sequence is the...Ch. 7 - By examining the Fibonacci sequence, make a...Ch. 7 - * Let m and n be positive integers. Prove that if...Ch. 7 - * Let m and n be positive integers whose greatest...Ch. 7 - Consider a 1-by-n chessboard. Suppose we color...Ch. 7 - Prob. 9ECh. 7 - Prob. 10E
Ch. 7 - Prob. 11ECh. 7 - Prob. 12ECh. 7 - 13. Determine the generating function for each of...Ch. 7 - 14. Let S be the multiset {∞ · e1, ∞ · e2, ∞ · e3,...Ch. 7 - 15. Determine the generating function for the...Ch. 7 - 16. Formulate a combinatorial problem for which...Ch. 7 - 17. Determine the generating function for the...Ch. 7 - 18. Determine the generating function for the...Ch. 7 - 19. Let h0, h1, h2, …, hn, … be the sequence...Ch. 7 - Prob. 20ECh. 7 - 21. * Let hn denote the number of regions into...Ch. 7 - 22. Determine the exponential generating function...Ch. 7 - 23. Let α be a real number. Let the sequence h0,...Ch. 7 - 24. Let S be the multiset {∞ · e1, ∞ · e2, · , ∞ ·...Ch. 7 - 25. Let hn denote the number of ways to color the...Ch. 7 - Determine the number of ways to color the squares...Ch. 7 - Determine the number of n-digit numbers with all...Ch. 7 - Determine the number of n-digit numbers with all...Ch. 7 - We have used exponential generating functions to...Ch. 7 - Prob. 30ECh. 7 - Solve the recurrence relation hn = 4hn−2, (n ≥ 2)...Ch. 7 - Prob. 32ECh. 7 - Solve the recurrence relation hn = hn−1 + 9hn−2 −...Ch. 7 - Solve the recurrence relation hn = 8hn−1 − 16hn−2,...Ch. 7 - Solve the recurrence relation hn = 3hn − 2 − 2hn −...Ch. 7 - Prob. 36ECh. 7 - Determine a recurrence relation for the number an...Ch. 7 - Prob. 38ECh. 7 - Let hn denote the number of ways to perfectly...Ch. 7 - Let an equal the number of ternary strings of...Ch. 7 - * Let 2n equally spaced points be chosen on a...Ch. 7 - Solve the nonhomogeneous recurrence relation
Ch. 7 - Solve the nonhomogeneous recurrence relation
hn =...Ch. 7 - Solve the nonhomogeneous recurrence relation
Ch. 7 - Prob. 45ECh. 7 - Solve the nonhomogeneous recurrence relation
Ch. 7 - Solve the nonhomogeneous recurrence relation
Ch. 7 - Solve the following recurrence relations by using...Ch. 7 - (q-binomial theorem) Prove that
where
is the...Ch. 7 - Call a subset S of the integers {1, 2, …, n}...Ch. 7 - Solve the recurrence relation
from Section 7.6...Ch. 7 - Prob. 52ECh. 7 - Suppose you deposit $500 in a bank account that...
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- 1 S 0 sin(lnx) x² - 1 Inx dxarrow_forward8.1.1 WP For a normal population with known variance σ², answer the following questions: - a. What is the confidence level for the interval x — 2.140/ √√n≤≤+2.140/√√n?arrow_forward8.1.8 A civil engineer is analyzing the compressives trength of concrete. Compressive strength is normally distributed with σ2 = 1000(psi)2. A random sample of 12 specimens has a mean compressive strength ofx = 3250 psi. a. Construct a 95% two-sided confidence interval on mean compressive strength. b. Construct a 99% two-sided confidence interval on mean compressive strength. Compare the width of this confidence interval with the width of the one found in part (a). 8.1.9Suppose that in Exercise 8.1.8 it is desired to estimate the compressive strength with an error that is less than 15 psi at 99% confidence. What sample size is required?arrow_forward
- 8.1.12 Ishikawa et al. [“Evaluation of Adhesiveness of Acinetobacter sp. Tol 5 to Abiotic Surfaces,” Journal of Bioscience and Bioengineering (Vol. 113(6), pp. 719–725)] studied the adhesion of various biofilms to solid surfaces for possible use in environmental technologies. Adhesion assay is conducted by measuring absorbance at A590. Suppose that for the bacterial strain Acinetobacter, five measurements gave readings of 2.69, 5.76, 2.67, 1.62, and 4.12 dyne-cm2. Assume that the standard deviation is known to be 0.66 dyne-cm2. a. Find a 95% confidence interval for the mean adhesion. b. If the scientists want the confidence interval to be no wider than 0.55 dyne-cm2, how many observations should they take?arrow_forwardAnswer questions 8.2.1 and 8.2.2 respectivelyarrow_forward8.2.3 A research engineer for a tire manufacturer is investigating tire life for a new rubber compound and has built 16 tires and tested them to end-of-life in a road test. The sample mean and standard deviation are 60,139.7 and 3645.94 kilometers. Find a 95% confidence interval on mean tire life. 8.2.4 Determine the t-percentile that is required to construct each of the following one-sided confidence intervals: a. Confidence level = 95%, degrees of freedom = 14 b. Confidence level = 99%, degrees of freedom = 19 c. Confidence level = 99.9%, degrees of freedom = 24arrow_forward
- 8.1.6The yield of a chemical process is being studied. From previous experience, yield is known to be normally distributed and σ = 3. The past 5 days of plant operation have resulted in the following percent yields: 91.6, 88.75, 90.8, 89.95, and 91.3. Find a 95% two-sided confidence interval on the true mean yield. 8.1.7 .A manufacturer produces piston rings for an automobile engine. It is known that ring diameter is normally distributed with σ = 0.001 millimeters. A random sample of 15 rings has a mean diameter of x = 74.036 millimeters. a. Construct a 99% two-sided confidence interval on the mean piston ring diameter. b. Construct a 99% lower-confidence bound on the mean piston ring diameter. Compare the lower bound of this confi- dence interval with the one in part (a).arrow_forward8.1.2 .Consider the one-sided confidence interval expressions for a mean of a normal population. a. What value of zα would result in a 90% CI? b. What value of zα would result in a 95% CI? c. What value of zα would result in a 99% CI? 8.1.3 A random sample has been taken from a normal distribution and the following confidence intervals constructed using the same data: (38.02, 61.98) and (39.95, 60.05) a. What is the value of the sample mean? b. One of these intervals is a 95% CI and the other is a 90% CI. Which one is the 95% CI and why?arrow_forward8.1.4 . A confidence interval estimate is desired for the gain in a circuit on a semiconductor device. Assume that gain is normally distributed with standard deviation σ = 20. a. How large must n be if the length of the 95% CI is to be 40? b. How large must n be if the length of the 99% CI is to be 40? 8.1.5 Suppose that n = 100 random samples of water from a freshwater lake were taken and the calcium concentration (milligrams per liter) measured. A 95% CI on the mean calcium concentration is 0.49 g μ g 0.82. a. Would a 99% CI calculated from the same sample data be longer or shorter? b. Consider the following statement: There is a 95% chance that μ is between 0.49 and 0.82. Is this statement correct? Explain your answer. c. Consider the following statement: If n = 100 random samples of water from the lake were taken and the 95% CI on μ computed, and this process were repeated 1000 times, 950 of the CIs would contain the true value of μ. Is this statement correct? Explain your answerarrow_forward
- 2 6. Modelling. Suppose that we have two tanks (A and B) between which a mixture of brine flows. Tank A contains 200 liters of water in which 50 kilograms of salt has been dissolved and Tank B contains 100 liters of pure water. Water containing 1kg of salt per liter is pumped into Tank A at the rate of 5 liters per minute. Brine mixture is pumped into Tank A from Tank B at the rate of 3 liters per minute and brine mixture is pumped from Tank A into Tank B at the rate of 8 liters per minute. Brine is drained from Tank B at a rate of 5 liters per minute. (a) Draw and carefully label a picture of the situation, including both tanks and the flow of brine between them. JankA 1ks of Salt Slits Pump EL Brine mit tark A from tank 13 Tank 13 k 3L zooliters of Ico liters of water with pure water. Saky salt → 777 disslore inside Brine mix is pumped from tank A to B of 82 Brine drainen min by Gf salt (b) Assume all brine mixtures are well-stirred. If we let t be the time in minutes, let x(t) 1ks…arrow_forward5. The graph of ƒ is given below. Sketch a graph of f'. 6. The graph of ƒ is given below. Sketch a graph of f'. 0 x 7. The graph of ƒ is given below. List the x-values where f is not differentiable. 0 A 2 4arrow_forward2. DRAW a picture, label using variables to represent each component, set up an equation to relate the variables, then differentiate the equation to solve the problem below. The top of a ladder slides down a vertical wall at a rate of 0.15 m/s. At the moment when the bottom of the ladder is 3 m from the wall, it slides away from the wall at a rate of 0.2 m/s. How long is the ladder?arrow_forward
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