a. Calculate the expected value,variance, and standard deviation foreach distribution.b. Which distribution has the highestrisk and why?Distribution 1Outcome (xi) Prob (pi)0.330.340.33$500$1,000$1,500Distribution 2Outcome (xi) Prob (pi)$5000.33$5150.34$2,0000.33Distribution 3Outcome (xi) Prob (pi)0.400.200.40$400$800$1,700

Answered: Image /qna-images/answer/d3830d70-893b-4c54-9c25-332c17915862.jpg

Answered: a. Calculate the expected value,…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The diameters of ball bearings are distributed normally. The mean diameter is 53 millimeters and the variance is 25. Find the probability that the diameter of a selected bearing is greater than 48 millimeters. Round your answer to four decimal places. Answer Tables Normal Table - to-z Z -2.8 -2.7 -2.6 -2.5 -2.4 -2.3 -1.9 -1.8 0.09 0.08 0.07 0.06 0.05 0.04 0.03 0.02 0.01 0.00 -3.4 0.0002 0.0003 0.0003 0.0003 0.0003 0.0003 0.0003 0.0003 0.0003 0.0003 -3.3 0.0003 0.0004 0.0004 0.0004 0.0004 0.0004 0.0004 0.0005 0.0005 0.0005 -3.2 0.0005 0.0005 0.0005 0.0006 0.0006 0.0006 0.0006 0.0006 0.0007 0.0007 -3.1 0.0007 0.0007 0.0008 0.0008 0.0008 0.0008 0.0009 0.0009 0.0009 0.0010 -3.0 0.0010 0.0010 0.0011 0.0011 0.0011 0.0012 0.0012 0.0013 0.0013 0.0013 -2.9 0.0014 0.0014 0.0015 0.0015 0.0016 0.0016 0.0017 0.0018 0.0018 0.0019 0.0019 0.0020 0.0021 0.0021 0.0022 0.0023 0.0023 0.0024 0.0025 0.0026 0.0026 0.0027 0.0028 0.0029 0.0030 0.0031 0.0032 0.0033 0.0034 0.0035 0.0036 0.0037 0.0038 0.0039…
Belt Office Supplies sells desks, lamps, chairs, and other related supplies. The company’s executive lamp sells for $45, and Elizabeth Belt has determined that the break-even point for executive lamps is 30 lamps per year. If Elizabeth does not make the break-even point, she loses $10 per lamp. The mean sales for executive lamps has been 45, and the standard deviation is 30. (a) Determine the opportunity loss function. (b) Determine the expected opportunity loss. (c) What is the EVPI?
The most important measure in any business is a successful purchase of their product. Task success is a discrete measure (0 is fail, 1 is successful purchase). The following table shows a discrete distribution across 100 clients for product purchase. Table 4 ((purchase success) P(probability purchase) v Calculate the expected value for table4? 0.1 0.3 |0.2 0.4 A. 0.0625 Calculate the discrete variance for table 4? B. 1.04 v What is the binomial probability that you find less than 11 clients who will buy your extended warranty C. 1.90 if you present to 79 clients, and the probability of a client buying a warranty after your presentation is 20%? D. 2 v What is the binomial expected value a client buys your extended warranty if the probability is 20% and 79 E. 4.620 clients are in the sample? F. 1.09 G. 15.80 v What is the binomial variance when a client buys your extended warranty if the probability of buying is 20% and 79 clients are in the sample? H. 12.64 1. 0.91 J. 10/79 K. 3.56 L.…
Find the expected value, variance, and standard deviation for the values below 1, 11, 29, 18, 4, 5, 2
A lawyer commutes daily from his suburban home to his midtown office. The average time for a one-way trip is 24 minutes, with a standard deviation of 3.4 minutes. Assume the distribution of trip times to be normally distributed. Complete parts (a) through (e) below. Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table. 1 hour? (a) What is the probability that a trip will take at least (Round to four decimal places as needed.)
Aa A AaBbCcC AaB AaBbCcDc AaBbCcDc AABBC I Normal TNo Spac.. Heading Heading 2 Title Paragraph Styles Ed 4. The monthly utility bills in a city are normally distributed with a mean of $100 and a standard deviation of $12. Find the probability that a randomly selected utility bill will be between $90 and $120. Distribution type: Probability:
The weekly earnings of shift supervisors in the glass industry follow a normal probability distribution with a mean of $1,000 and a standard deviation of $100. What is the z value of income X of a supervisor who earns $1,100 per week? What about a supervisor who makes $900 a week?
Rent for two-bedroom apartments in Davis, CA, follow a normal distribution with mean of $2,200 and standard deviation of $300. A random sample of 36 two-bedroom homes results in a mean $2,075. What is the probability that the sample mean is greater than or equal to $2,075?
Money people carry into the store is normally distributed with a mean of $258 dollars and a standard deviation of $35. In a sample of 76 Americans who walked into that store find the probability that a random customer will have more than $260 in his or her wallet. a. 0.8819 b. 0.9938 c. 0.2615 d. 0.3091 e. 0.3467
i. Combined ratio gives the higher estimated variance than the separate ratio estimator. A. True B. False ii. The difference estimator is always unbiased in simple random sample. A. True B. False
Please read the instructions carefully
What range of returns should you expect to see with a 99 percent probability on an asset that has an average return of 11.21 percent and a standard deviation of 24.82 percent? Multiple Choice C -26.02% to 48.44% -13.61% to 36.03% -63.25% to 85.67% -13.61% to 8.81% -38.43% to 60.85%

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