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- 2.4 The opening 2018 World Cup odds against being the winning team specified by espn.com were 9/2 for Germany, 5/1 for Brazil, 11/2 for France, 20/1 for England, and 7/1 for Spain. Find the corresponding prior probabilities of winning for these five teams.You may need to use the appropriate appendix table or technology to answer this question. Shoppers enter a mall at an average of 360 per hour. (Round your answers to four decimal places.) (a) What is the probability that exactly 15 shoppers will enter the mall between noon and 12:05 p.m.? 0.0010 (b) What is the probability that at least 70 shoppers will enter the mall between 5:00 and 5:10 p.m.? 0.0985 XThe promoter of a football game is concerned that it will rain. She has the option of spending $14,040 on insurance that will pay $39,000 if it rains. She estimates that the revenue from the game will be $65,040 if it does not rain and $30,040 if it does rain. What must the chance of rain be if buying the policy has the same expected return as not buying it? Write expressions showing the expected returns if the promoter does and does not purchase the insurance, using p to represent the probability of rain. Without insurance, E(return) = With insurance, E(return) = The chance of rain must be _%.
- Example is given: A petrol pump is supplied with petrol once a day. If its daily volume of sales (X) in thousands of litres is distributed by: f(x) = 5 (1-x), Osxs1, %3D what must be the capacity of its tank in order that the probability that its supply will be exhausted in a given day shall be 0.01 ?You work at a mechanic shop. On average, 10 cars come into your shop each day. Assuming a poisson distribution, what is the probability 4 cars come into the shop? Round to 4 decimal points.Consider a city where everyone commutes to the city center, and the commuting cost per mile per month is $50. Each household occupies a 1,500-square-foot dwelling and has $10,000 worth of possessions in its dwelling. The probability that any particular household will be burglarized and lose all its possessions (no insurance) is 0.2 (per month) at the city center and decreases by 0.01 per mile (to 0.19 at one mile, 0.18 at two miles, and so on). The price of housing is $2 per square foot at the city center. 1. Starting from the center, a one-mile move outward changes the expected value of the loss from crime from_______ to _______, a change of _________ per square foot. 2. The slope of the housing-price curve is _________, computed as __________ 3. Draw the housing-price curve for locations up to five miles from the city center. The price changes from ________ at the city center to _________ five miles away.
- The injured football player Bad news everyone! There is 1 second left in the game, and Tom Brady has injured himself. The matrices below depict the relative probabilities of winning givenan offensive and a defensive play call. (The row player is the New England Patriots and the column player is the opponent.) How much has the all star's home team probability of winning decreased due to the injury? Pass uny Patriots D Pass .4, .6 D Run .9,.1 .8,.2 .5,.5 Pass Run Opponent D Pass D Run .06, .94 .32, .68 .8,.2 .5,.5What do we call the probability of a Type I error?Speedy Oil provides a single-channel automobile oil change and lubrication service. Customers provide an arrival rate of 4 cars per hour. The service rate is 5 cars per hour. Assume that arrivals follow a Poisson probability distribution and that service times follow an exponential probability distribution. What is the average number of cars in the system? What is the average time that a car waits for the oil and lubrication service to begin? What is the probability that an arrival has to wait for service?
- Suppose we are again given 20 tulip bulbs that are very similar in appearance. Information on this new set of tulips is summarized below: Early (E) Late (L) Totals Red (R) Yellow (Y) Totals 5 5 10 5 5 10 10 10 20 What is P(Y)? (Enter the probability with two decimal places)Consider a city where everyone commutes to the city center and commuting cost per mile per month is $40. Each household occupies a 1,000-square-foot dwelling and has $7,000 worth of possessions in its dwelling. The probability that any particular household will be burglarized (involving the uninsured loss of all possessions) is 0.10 at the city center and decreases by 0.01 per mile (to 0.09 at one mile, 0.08 at two miles, and so on). The housing price is $1.00 per square foot at the city center. a) Draw the housing-price curve for locations up to five miles from the city center.Hello help please There are six hundred Economics students in the post-graduate classes of a university, and the probability for any student to need a copy of a particular book from the university library on any day is 0.05. How many copies of the book should be kept in the university library so that the probability may be greater than 0.90 that none of the students needing a copy from the library has to come back disappointed?