3. What would be the yearly premium for a$50,000 insurance policy against accidentalhouseholdflood if the likelihood of an accidental householdflood is estimated to be 0.005 and thecompany wishes to have a yearly expected gain of$2000?a. $2, 250.b. $2,550.c. $2,500.d. $2,520.4. A manufacturer of electronic equipment buysspare parts for replacement and repairs in lots ofone-thousand from the supplier. Themanufacturer uses these spare parts to fix itemsunderwarrantee. Past historical records show that theprobability of any one spare part beingdefective is unlikely and assumed to be one inone-thousand. In a shipment of one-thousandspare parts the probability of two defectives isa. 0.148.b. 0.184.c. 0.366.d. 0.386.5. What is the probability of getting exactly threeheads in five flips of a balance coin?a. 5/16b. 3/16c. 7/16d. 9/16

As you have posted multiple questions, we have provided answer for first question only as per our…

3. What would be the yearly premium for a $50,000 insurance policy against accidental household flood if the likelihood of an accidental household flood is estimated to be 0.005 and the company wishes to have a yearly expected gain of $2000? a. $2, 250. b. $2,550. c. $2,500. d. $2,520.

3. What would be the yearly premium for a $50,000 insurance policy against accidental household flood if the likelihood of an accidental household flood is estimated to be 0.005 and the company wishes to have a yearly expected gain of $2000? a. $2, 250. b. $2,550. c. $2,500. d. $2,520.

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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Question

3. What would be the yearly premium for a
$50,000 insurance policy against accidental
household
flood if the likelihood of an accidental household
flood is estimated to be 0.005 and the
company wishes to have a yearly expected gain of
$2000?
a. $2, 250.
b. $2,550.
c. $2,500.
d. $2,520.
4. A manufacturer of electronic equipment buys
spare parts for replacement and repairs in lots of
one-thousand from the supplier. The
manufacturer uses these spare parts to fix items
under
warrantee. Past historical records show that the
probability of any one spare part being
defective is unlikely and assumed to be one in
one-thousand. In a shipment of one-thousand
spare parts the probability of two defectives is
a. 0.148.
b. 0.184.
c. 0.366.
d. 0.386.
5. What is the probability of getting exactly three
heads in five flips of a balance coin?
a. 5/16
b. 3/16
c. 7/16
d. 9/16

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