Hello can any one help with this Economics question: If 5% of the electric bulbs manufactured by a company are defective, use Poisson distribution to find the probability that in a sample of 100 bulbs: (i) none is defective. (ii) 5 bulbs will be defective.
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- An insurance company would like to offer theft insurance for renters. The policy wouldpay the full replacement value of any items that were stolen from the apartment. Someapartments have security alarms installed. Such systems detect a break-in and ring an alarmwithin the apartment. The insurance company estimates that the probability of a theft in ayear is .05 if there is no security system and .01 if there is a security system (there cannot bemore than one theft in any year). An apartment with a security system costs the renter anadditional £50 per year. Assume that the loss from a theft is £10,000 and that the insurancecompany is risk neutral and the renter would be willing to pay more than the expected loss toinsure against the loss of theft. What is the insurance company's break even price for a one year theft insurance policy for anapartment without a security system?According to the Intern al Revenue Service, the mean tax refund for the year 2014 was $2800 Assu me the stan dard devlation I6 $450 an d that the amounts 1etunded follow a normal probability distribution. a. What percont of the refunde aro more th an $3,100? (Round the Intermediate velues to 2 decimal places. Round your answer to 2 decimal places) Percert 0.25 % b. What percent of the refun ds are more th an $3,100 but less th an $3.500? (Round the intermediete values to 2 dec imal places Round your ans wer to 2 decimal places) Peroert c. What percent of the retun ds are more th an $2,250 but less than $3.500? (Round the inter mediate val ues to 2 decimal places Round your answer to 2 decimal places) PeroartSuppose the market for auto insurance is made of up two types of buyers: high-risk and low-risk. Buyers’ willingness to pay (WTP) for auto insurance plans, and sellers’ willingness to accept (WTA) when selling plans to each type of buyer, are outlined in a photo Assume now that there is asymmetric information and that insurance companies do not knowhow risky an individual buyer is. In the face of this uncertainty, they determine that the probability that a “walk-in” is high-risk is 0.75. What is the minimum price sellers are willing to accept when selling aninsurance plan? At this price, will low- and high-risk buyers both be willing to purchase this insurance plan? Explain. Be sure the mention adverse selection in your answer. Returning to the conditions outlined in Q1, suppose that buyers of auto insurance (high- and low-risk) were offered a $1,000 subsidy to purchase coverage. This would raise their WTP by $1,000. Would the market for both insurance plans clear after the…
- probability and random variable Haider Ali AL-Saidi EXomfle CH-o): let X aned Y are C.g.Vs with joint →くれく4 →にすFiting a straight ine to a set of data yields the following predicion line. Complete (a) through (e) below a. Interpret the meaning of the Yintercept, Choose the correct anower below O A. The Yintercept, be =4, imples that the average value of Yis 4. OB. The Yintercept, b7, implies that when the value of Xs0, the mean value of Yis 7 OC. The Yantercept, by4, implies that tor each increase of 1 unt in X, the value ofYa expected to increase by 4 unts •D. The Yintercept, 4, implies that when the value of Xis 0, the mean value of Y is 4 b. Interpret the meaning of the slope, b Choose the comect answer below OA The slope, by4, implies that for each increase of 1 unit in X, the value of Yis expected to increase by 4 units OB. The slope, by =7, implies that the average value of Y is 7. O C. The slope, b,=7, imples that for each increase of 1 unit in X, the value of Y is expected to increase by 7 units %3D OD. The slope, b,7, implies that for each increase of 1 unit in X, the value of Yis…themepans i max Task 3: During the last 10 years, a corporation's net profit increased year over year 6 times and decreased year over babive969 with characteristicsmber of annual earnings increases for the next 10 years is modelled in 4 times. Assume that the accordance with quote of the binomial distribution. Estimate the probability that the corporation's net profit will increase in exactly 4 of the next 10 years. tot twee monteutimut ethomi smo bsd-.2.U A :clesT Diswiot brs toqe ert tuods noitsmotnleysb 08 ni utimut to insmqinle 6 101 000,000,83 vsqof ever lliw 2.0 woled nevig ai 29161 (AU3 8.0 ataoo 020) 008.0 02U AU3 eer.o 020 A03 9161 toqe tre etsi biswiot ysb-08Give typing answer with explanation and conclusion Suppose that the government must undertake an irreversible policy decision regarding the extent of air pollution regulation. The government is making this decision in a situation of uncertainty, however. In particular, there is some probability p that the benefits will remain the same as they are this year for all future years, but there is some probability 1 - p that benefits will be less in all future years. If we take into consideration the multiperiod aspects, should we err on the side of overregulation or underregulation, compared to what we would do in a single-period choice?Q. 2. Explain why there must be mistake in the following statement: "A quality control engineer claims that the probability that a large consignmen of glass bricks contians 0, 1, 2, 3, 4 or 5 defectives are 0-11%; 0-23, 0-37, 0-26, 0-009 and 0-05 respectively".5.100 Tossing a die. You are tossing a balanced die that has probability 1/6 of coming up 1 on each toss. Tosses are independent. We are interested in how long we must wait to get the first 1. (a) The probability of a 1 on the first toss is 1/6. What is the probability that the first toss is not a 1 and the second toss is a 1? (b) What is the probability that the first two tosses are not 1s and the third toss is a 1? This is the probability that the first 1 occurs on the third toss. 4 (c) Now you see the pattern. What is the probability that the first 1 occurs on the fourth toss? On the fifth toss?The data from 200 machined parts are summarizedas follows:y yesdepth of boreE, noabovebelowedge conditioncoarsetarget15target10moderatesmooth25205080(a) What is the probability that a part selected has a moderateedge condition and a below-target bore depth?(b) What is the probability that a part selected has a moderateedge condition or a below-target bore depth?(c) What is the probability that a part selected does not have amoderate edge condition or does not have a below-targetbore depth?(d) Construct a Venn diagram representation of the events inthis sample space.Please no written by hand solution Kate recently invested in real estate with the intention of selling the property one year from today. She has modeled the returns on that investment based on three economic scenarios. She believes that if the economy stays healthy, then her investment will generate a 30 percent return. However, if the economy softens, as predicted, the return will be 10 percent, while the return will be -25 percent if the economy slips into a recession. If the probabilities of the healthy, soft, and recessionary states are 0.6, 0.2, and 0.2, respectively, then what are the expected return and the standard deviation of the return on Kate❝s investment? Calculate the coefficient of variation for this investment. (Round expected return to 3 decimal places, e.g. 0.125 and round intermediate calculations and standard deviation to 5 decimal places, e.g. 0.07680.)Brain tumors in children are rare: the base rate is only about 1/10,000. A child with a tumor is very likely to have occasional headaches: 99 out of 100 do. But there are many other reasons a child can have a headache: of those who do not have a tumor, 1 in 10 have occasional headaches. 1. Given that a child has occasional headaches (H), what it the probability that he or she has a brain tumor (T)? Show your work. 2. Name a behavioral bias that may occur when estimating the probability that your child has a brain tumor. Would this bias lead to under-or-overestimate that probability? Explain. 3. Among children with headaches (H), 999/1000 will ultimately be fine (F). Suppose that a physician using a simple test can correctly determine whether the child is fine or not in 95/100 of children with headaches. Given that the doctor after performing the test gives the patient a green light (G), what is the probability that the child really will be fine? Show your work.. Page 1 of 1 175 words…SEE MORE QUESTIONS