Calculus: Early Transcendentals
8th Edition
ISBN: 9781285741550
Author: James Stewart
Publisher: Cengage Learning
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- Suppose that a decision maker's risk atitude toward monetary gains or losses x given by the utility function(x) = (50,000+x) 34/2. Suppose that a decision maker has the choice of buying a lottery ticket for $5, or not. Suppose that the lottery winning is $1,000,000, and the chance of winning is one in a thousand. Then..... O The decision maker should not buy the ticket, as the utility from not buying is 223.6, and the expected utility from buying is 223.59. The decision maker should not buy the ticket, as the utility from not buying is 223.6067, and the expected utility from buyingis 223.6065. O The decision maker should buy the ticket, as the utility from not buying 223.60, and the utility from buying is 224.4. The decision maker should buy the ticket, as the utility from not buying 223.6065, and the utility from buying is 223.6067.arrow_forwardA theater group holds a fund-raiser. It sells 100 raffle tickets for $6 apiece. Suppose you purchase four tickets. The prize is two passes to a Broadway show, worth a total of $150. Construct a PDF. (Round your answers to two decimal places.) X P(X=x) x * P(X=x) Loss Profit If this fund-raiser is repeated often and you always purchase four tickets, what would be your expected average winnings per raffle? (Round your answer to two decimal places.) $arrow_forwardplease helparrow_forward
- A individual, with a utility function lnW and an initial wealth level W0, is faced with a fair gamble of winning or losing $h (where W0 > h > 0) with 50-50 chance. (a) Is this individual risk averse? Explain.(b) Suppose that the individual is willing to pay up to an amount of f in order to avoid such a gamble. Give the equation that determines f, and solve the equation for f (i.e., express f in terms of W0 and h). (c) Show that f increases as h increases.arrow_forwardDirections: Suppose that the average life span of an electronic component is 72 months and that the life spans are exponentially distributed. 1. Find the probability that a component lasts for more than 12 months. Probability = 2. The reliability function r(t) gives the probability that a component will last for more than t months. Compute r(t) in this case. r(t): =arrow_forwardHow do I solve for b?arrow_forward
- Calculate the relative frequency P(E) using the given information. Six hundred adults are polled, and 480 of them support universal health-care coverage. E is the event that an adult supports universal health-care coverage. HINT [See Example 1.] P(E) = =arrow_forward6barrow_forwardCan i have a worked example please. Thanks!arrow_forward
- High temperatures in a certain city for the month of August follow a uniform distribution over the interval 61 ∘ Fto 91 ∘ F. Find the high temperature which 90% of the August days exceed.arrow_forwardDirections: Suppose that the average life span of an electronic component is 72 months and that the life spans are exponentially distributed. 1. Find the probability that a component lasts for more than 12 months. Probability= 0.846482 2. The reliability function r(t) gives the probability that a component will last for more than ₺ months. Compute r(t) in this case. r(t) = e 12arrow_forward
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