Finite Mathematics (11th Edition)
Finite Mathematics (11th Edition)
11th Edition
ISBN: 9780321979438
Author: Margaret L. Lial, Raymond N. Greenwell, Nathan P. Ritchey
Publisher: PEARSON
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Chapter 3, Problem 34RE
To determine

If it is necessary or not that there is a unique point in the feasible region where maximum and minimum values exist.

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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).
8.1.2 .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?
8.1.4 . 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 answer

Chapter 3 Solutions

Finite Mathematics (11th Edition)

Ch. 3.1 - Graph each linear inequality. x 3yCh. 3.1 - Graph each linear inequality. 2x yCh. 3.1 - Graph each linear inequality. x + y 0Ch. 3.1 - Graph each linear inequality. 3x + 2y 0Ch. 3.1 - Graph each linear inequality. y xCh. 3.1 - Graph each linear inequality. y 5xCh. 3.1 - Graph each linear inequality. x 4Ch. 3.1 - Graph each linear inequality. y 5Ch. 3.1 - Graph each linear inequality. y 2Ch. 3.1 - Graph each linear inequality. x 4Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Prob. 35ECh. 3.1 - Prob. 36ECh. 3.1 - Prob. 37ECh. 3.1 - Prob. 38ECh. 3.1 - The regions A through G in the figure can be...Ch. 3.1 - Production Scheduling A small pottery shop makes...Ch. 3.1 - Time Management Carmella and Walt produce handmade...Ch. 3.1 - Prob. 42ECh. 3.1 - Prob. 43ECh. 3.1 - Prob. 44ECh. 3.1 - For Exercises 42-47, perform the following steps....Ch. 3.1 - Prob. 46ECh. 3.1 - Prob. 47ECh. 3.2 - The following graphs show regions of feasible...Ch. 3.2 - The following graphs show regions of feasible...Ch. 3.2 - The following graphs show regions of feasible...Ch. 3.2 - The following graphs show regions of feasible...Ch. 3.2 - The following graphs show regions of feasible...Ch. 3.2 - Prob. 6ECh. 3.2 - Prob. 7ECh. 3.2 - Use graphical methods to solve each linear...Ch. 3.2 - Prob. 9ECh. 3.2 - Use graphical methods to solve each linear...Ch. 3.2 - Prob. 11ECh. 3.2 - Prob. 12ECh. 3.2 - Prob. 13ECh. 3.2 - Prob. 14ECh. 3.2 - Prob. 15ECh. 3.2 - Use graphical methods to solve each linear...Ch. 3.2 - Use graphical methods to solve each linear...Ch. 3.3 - Write Exercises 16 as linear inequalities....Ch. 3.3 - Prob. 2ECh. 3.3 - Prob. 3ECh. 3.3 - Prob. 4ECh. 3.3 - Prob. 5ECh. 3.3 - Prob. 6ECh. 3.3 - Transportation The Miers Company produces small...Ch. 3.3 - Transportation A manufacturer of refrigerators...Ch. 3.3 - Finance A pension fund manager decides to invest a...Ch. 3.3 - Profit A small country can grow only two crops for...Ch. 3.3 - Prob. 11ECh. 3.3 - Revenue A candy company has 150 kg of...Ch. 3.3 - Blending The Mostpure Milk Company gets milk from...Ch. 3.3 - Profit The Muro Manufacturing Company makes two...Ch. 3.3 - Prob. 15ECh. 3.3 - Revenue The manufacturing process requires that...Ch. 3.3 - Prob. 17ECh. 3.3 - Manufacturing (Note: Exercises #x2013;20 are from...Ch. 3.3 - Prob. 19ECh. 3.3 - Prob. 20ECh. 3.3 - Life Sciences Health Care David Willis takes...Ch. 3.3 - Prob. 22ECh. 3.3 - Nutrition A dietician is planning a snack package...Ch. 3.3 - Prob. 24ECh. 3.3 - Anthropology An anthropology article presents a...Ch. 3.3 - Prob. 26ECh. 3.3 - Prob. 27ECh. 3 - Use sensitivity analysis to find the optimal...Ch. 3 - Prob. 2EACh. 3 - Prob. 3EACh. 3 - Prob. 4EACh. 3 - Prob. 5EACh. 3 - Prob. 1RECh. 3 - Prob. 2RECh. 3 - Prob. 3RECh. 3 - Prob. 4RECh. 3 - Prob. 5RECh. 3 - Prob. 6RECh. 3 - Prob. 7RECh. 3 - Prob. 8RECh. 3 - Prob. 9RECh. 3 - Prob. 10RECh. 3 - Prob. 11RECh. 3 - Prob. 12RECh. 3 - Prob. 13RECh. 3 - How many constraints are we limited to in the...Ch. 3 - Prob. 15RECh. 3 - Prob. 16RECh. 3 - Prob. 17RECh. 3 - Prob. 18RECh. 3 - Prob. 19RECh. 3 - Prob. 20RECh. 3 - Prob. 21RECh. 3 - Prob. 22RECh. 3 - Prob. 23RECh. 3 - Prob. 24RECh. 3 - Prob. 25RECh. 3 - Prob. 26RECh. 3 - Prob. 27RECh. 3 - Use the given regions to find the maximum and...Ch. 3 - Prob. 29RECh. 3 - Prob. 30RECh. 3 - Prob. 31RECh. 3 - Prob. 32RECh. 3 - Prob. 33RECh. 3 - Prob. 34RECh. 3 - Prob. 35RECh. 3 - Prob. 36RECh. 3 - Prob. 37RECh. 3 - Cost Analysis DeMarco's pizza shop makes two...Ch. 3 - Prob. 39RECh. 3 - Revenue How many pizzas of each kind should the...Ch. 3 - Prob. 41RECh. 3 - Prob. 42RECh. 3 - Steel A steel company produces two types of...Ch. 3 - Prob. 44RECh. 3 - Prob. 45RECh. 3 - Prob. 46RE
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