A First Course in Probability (10th Edition)
10th Edition
ISBN: 9780134753119
Author: Sheldon Ross
Publisher: PEARSON
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Chapter 10, Problem 10.9P
Suppose we have a method for simulating random variables from the distributions F1 and F2. Explain how to simulate from the distribution
Give a method for simulating from
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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…
8.1.1 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?
8.1.8 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?
Chapter 10 Solutions
A First Course in Probability (10th Edition)
Ch. 10 - The following algorithm will generate a random...Ch. 10 - Prob. 10.2PCh. 10 - Give a technique for simulating a random variable...Ch. 10 - Present a method for simulating a random variable...Ch. 10 - Use the inverse transformation method to present...Ch. 10 - Give a method for simulating a random variable...Ch. 10 - Let F be the distribution functionF(x)=xn0x1 a....Ch. 10 - Prob. 10.8PCh. 10 - Suppose we have a method for simulating random...Ch. 10 - Prob. 10.10P
Ch. 10 - Use the rejection method with g(x)=1,0x1, to...Ch. 10 - Prob. 10.12PCh. 10 - Prob. 10.13PCh. 10 - Prob. 10.14PCh. 10 - Prob. 10.15PCh. 10 - Let X be a random variable on (0, 1) whose density...Ch. 10 - Prob. 10.1STPECh. 10 - Prob. 10.2STPECh. 10 - Prob. 10.3STPECh. 10 - If X is a normal random variable with mean and...Ch. 10 - Prob. 10.5STPE
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- 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
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