A private lion sanctuary is closing and needs to rehome 20 lions to 3 zoos. They choose to make their offers proportional to the number of monthly visitors to the zoo. When apportioning the lions to the 3 zoos, what do you get when you use when the Jefferson method, Adams method, & Webster method? Each of these methods will be 110, 115, 118, 121, 128. Needs complete solution. Plzz
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A private lion sanctuary is closing and needs to rehome 20 lions to 3 zoos. They choose to make their offers proportional to the number of monthly visitors to the zoo. When apportioning the lions to the 3 zoos, what do you get when you use when the Jefferson method, Adams method, & Webster method? Each of these methods will be 110, 115, 118, 121, 128.
Needs complete solution. Plzz
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- A producer of pocket calculators purchases the main processor chips in lots of1,000. The producer would like to have a 1 percent rate of defectives but willnormally not refuse a lot unless it has 4 percent or more defectives. Samples of50 are drawn from each lot, and the lot is rejected if more than two defectives arefound.a. What are p0, p1, n, and c for this problem?The trend in home building in recent years has been to emphasize open spaces and great rooms, rather than smaller living rooms and family rooms. A builder of speculative homes in the college community of Oxford, Ohio, had been building such homes, but his homes had been taking many months to sell and had been selling for substantially less than the asking price. In order to determine what types of homes would attract residents of the community, the builder contacted a statistician at a local college. The statistician went to a local real estate agency and obtained the data contained in file OxHome. This data includes the sales price (measured in thousand dollars), square footage, number of rooms, number of bedrooms, and age for each of 60 single-family residences recently sold in the community. Using this data, a regression model was built to predict the sales price of houses in this community. The regression equation from the model is: sales price (thousand dollars) = 19.5 + 0.1079…The trend in home building in recent years has been to emphasize open spaces and great rooms, rather than smaller living rooms and family rooms. A builder of speculative homes in the college community of Oxford, Ohio, had been building such homes, but his homes had been taking many months to sell and had been selling for substantially less than the asking price. In order to determine what types of homes would attract residents of the community, the builder contacted a statistician at a local college. The statistician went to a local real estate agency and obtained the data contained in file OxHome. This data includes the sales price (measured in thousand dollars), square footage, number of rooms, number of bedrooms, and age for each of 60 single-family residences recently sold in the community. Using this data, a regression model was built to predict the sales price of houses in this community. The regression equation from the model is: sales price (thousand dollars) = 19.5 + 0.1079…
- The trend in home building in recent years has been to emphasize open spaces and great rooms, rather than smaller living rooms and family rooms. A builder of speculative homes in the college community of Oxford, Ohio, had been building such homes, but his homes had been taking many months to sell and had been selling for substantially less than the asking price. In order to determine what types of homes would attract residents of the community, the builder contacted a statistician at a local college. The statistician went to a local real estate agency and obtained the data contained in file OxHome. This data includes the sales price (measured in thousand dollars), square footage, number of rooms, number of bedrooms, and age for each of 60 single-family residences recently sold in the community. Using this data, a regression model was built to predict the sales price of houses in this community. The regression equation from the model is: sales price (thousand dollars) = 19.5 + 0.1079…in a certain city, 60% of the heads of household own the house in which they reside, and 80% of the heads of the household have full-time employment when considering what percentage of heads of household both own their home and have a full-time job, a student estimates that 48% of heads of household fit both requirements, stating that (0.60) (0.80)=0.48. is this student correct in his approach?A study was conducted to compare the costs of supporting a family of four Canadians for a year in different foreign cities. The lifestyle of living in Canada on an annual income of 75,000 $ was the standard against which living in foreign cities was compared. A comparable living standard in Perth Australia and Mexico City was attained for 64,000$. Suppose an executive wants to determine whether there is any difference in the average annual cost of supporting her family of four in the manner to which they are acccustomed in Perth, Mexico City. She uses the data randomly gathered from 11 random families in each city. She found that the sample mean and standard deviation for Perth Australia was 67,381.82 and 2,296.44 respectively. The mean and standard deviation for the sample of Mexico City was 63,436.36$ and 1,568.61 respectively. She used an alpha of 0.01 to test this difference. She assumes the annual cost is normally distributed and the population variances are equal. What does the…
- A purchaser of alarm clocks buys them in lots of size 10. It is his policy to inspect 3 clocks randomlyfrom a lot and to accept the lot only if all 3 are nondefective. If 30 percent of the lots have 4 defectiveclocks and 70 percent have only 1, what proportion of lots does the purchaser reject?Suppose 55 percent of the customers at Pizza Palooza order a square pizza, 78 percent order a soft drink, and 43 percent order both a square pizza and a soft drink. Is ordering a soft drink independent of ordering a square pizza? Yes NoA foreign car manufacturer advertises that its newest model, the Bullet, rarely stops at gas stations. In fact, they claimed that its EPA rating for highway driving is at least 32.5 mpg. However, the results of a recent independent study determined the mpg for 50 identical models of the Bullet, with these results: n = 50, x= 30.4 mpg, and s = 5.3 mpg.This report failed to offer any conclusion, and you have been asked to interpret these results by someone who has always felt that the 32.5 figure is too high. What would be your conclusion using a significance level of 5%?Z = 1.645
- As these researchers state, “Robbing a bank is the staple crime of thrillers, movies and newspapers. But . . . bank robbery is not all it is cracked up to be.” The researchers concentrated on the factors that determine the amount of proceeds from bank robberies, and thus were able to work out both the economics of attempting one and of preventing one. In particular, the researchers revealed that the return on an average bank robbery per person per raid is modest indeed—so modest that it is not worthwhile for the banks to spend too much money on such preventative measures as fast-rising screens at tellers’ windows. The researchers obtained exclusive data from the British Bankers’ Association. In one aspect of their study, they analyzed the data from a sample of 364 bank raids over a several-year period in the United Kingdom. The following table repeats a portion of Table 1 on page 19 of the article. ariable Mean standar deviation Amount stolen (pounds sterling) 20,330.50 53,510,2…As these researchers state, “Robbing a bank is the staple crime of thrillers, movies and newspapers. But . . . bank robbery is not all it is cracked up to be.” The researchers concentrated on the factors that determine the amount of proceeds from bank robberies, and thus were able to work out both the economics of attempting one and of preventing one. In particular, the researchers revealed that the return on an average bank robbery per person per raid is modest indeed—so modest that it is not worthwhile for the banks to spend too much money on such preventative measures as fast-rising screens at tellers’ windows. The researchers obtained exclusive data from the British Bankers’ Association. In one aspect of their study, they analyzed the data from a sample of 364 bank raids over a several-year period in the United Kingdom. The following table repeats a portion of Table 1 on page 19 of the article. ariable Mean standar deviation Amount stolen (pounds sterling) 20,330.50 53,510,2…A friend who lives in Los Angeles makes frequent consulting trips to Washington, D.C.;50% of the time she travels on airline #1, 30% of the time on airline #2, and the remaining 20% of the time on airline #3. For airline #1, flights are late into D.C.30% of the time and late into L.A.10% of the time. For airline #2,these percentages are 25% and 20%,whereas for airline #3 the percentages are 40% and 25%.If we learn that on a particular trip she arrived late at exactly one of the two destinations, what are the posterior probabilities of having flown on airlines #1,#2, and #3? Assume that the chance of a late arrival in L.A.is unaffected by what happens on the flight to D.C. [ Hint: From the tip of each first generation branch on a tree diagram, draw three second-generation branches labeled, respectively, 0 late,1late, and 2 late.]