A local 4-H club surveyed its members, and the following information was obtained: 19 members had rabbits, 8 had goats, 3 had both rabbits and goats, and 17 had neither rabbits nor goats. (Round your answers to three decimal places.) (a) What percent of the club members had rabbits or goats? % (b) What percent of the club members had only rabbits? % (c) What percent of the club members had only goats? %
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- In general,_____% of the values in a data set lie at or below the 94th percential. _______% of the values in a data set lie at or above the 90th percentile... if a sample consists of 800 test scores,___ of them would be at or below 40th percential, if a sample consists of 800 test scores,____ of then would be at or above the 58th percentile.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…What would be the Herfindahl-Hirschman Index (HHI) in the following situations? A. 10 firms, each with 10 percent of the market. B. 4 firms, each with 25 percent of the market, C. 2 firms, each with 50 percent of the market D. 1 firm with a monopoly in the marketA biologist looked at the relationship between number of seeds a plant produces and the percent of those seeds that sprout. The results of the survey are shown below. Seeds Produced 63 62 43 43 58 59 67 61 Sprout Percent 55.1 62.4 64.1 74.1 63.6 66.3 51.9 64.7 r2r2 = (Round to two decimal places) Interpret r2r2 : Given any group of plants that all produce the same number of seeds, 54% of all of these plants will produce seeds with the same chance of sprouting. There is a 54% chance that the regression line will be a good predictor for the percent of seeds that sprout based on the number of seeds produced. There is a large variation in the percent of seeds that sprout, but if you only look at plants that produce a fixed number of seeds, this variation on average is reduced by 54%. 54% of all plants produce seeds whose chance of sprouting is the average chance of sprouting. The equation of the linear regression line is: ˆyy^ = + xx (Please show your answers to…
- In general, ___________% of the values in a data set lie at or below the 28 th percentile. _______________ % of the values in a data set lie at or above the 90 th percentile.. If a sample consists of 700 test scores, _________of them would be at or below the 52 th percentile. If a sample consists of 700 test scores, ________ of them would be at or above the 64 th percentile.A survey of 40 students at a local college asks, "Where do you buy the majority of your books?" The responses fell into three categories: "at the campus bookstore," "on the Internet," and "other." The results follow. Where Most Books Bought bookstore bookstore Internet other Internet other bookstore other bookstore bookstore bookstore bookstore bookstore other bookstore bookstore bookstore Internet Internet other other other other other other other Internet bookstore other other Internet other bookstore bookstore other bookstore Internet Internet other bookstore Use Excel to estimate the proportion of the college students who buy their books on the Internet. Build a 95% confidence interval for the proportion of students who buy their books on the Internet. Interpret your result. Can we conclude that the proportion of students buy their books on the internet differs from…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.]
- For a population with µ = 84 and σ = 4, what is the z-score corresponding to X = 80?The National Highway Association is studying the relationship between the number of bidders on a highway project and the winning (lowest) bid for the project. Of particular interest is whether the number of bidders increases or decreases the amount of the winning bid. Bidders Price 9.0 5.1 9.0 8.0 3.0 9.7 10.0 7.8 5.0 7.7 10.0 5.5 7.0 8.3 11.0 5.5 6.0 10.3 6.0 8.0 4.0 8.8 7.0 9.4 7.0 8.6 7.0 8.1 6.0 7.8 Given: Correlation of Coefficient: 0.7064 (This is correct) Coefficient of determination: 49.90% (This is correct) ŷ = 11.2360 + (-0.4667)x (This is correct) Create a scatter plot of the data Complete a regression analysis of the relationship. Slope = ______ Estimate the winning bid if there were seven bidders. Winning bid cost ______ millions. Compute the 95% prediction interval for a winning bid if there are seven bidders. [ _____________, ______________]The National Highway Association is studying the relationship between the number of bidders on a highway project and the winning (lowest) bid for the project. Of particular interest is whether the number of bidders increases or decreases the amount of the winning bid. Bidders Price 9.0 5.1 9.0 8.0 3.0 9.7 10.0 7.8 5.0 7.7 10.0 5.5 7.0 8.3 11.0 5.5 6.0 10.3 6.0 8.0 4.0 8.8 7.0 9.4 7.0 8.6 7.0 8.1 6.0 7.8 GIVEN: correlation coefficient: - 0.7064 Slope: -0.4667 Coefficient of determination: 49.90% regression equation: ŷ= 11.2360 + (-4467)x FIND: Estimate the winning bid if there were seven bidders. Winning bid cost _________ millions. Explain. Compute the 95% prediction interval for a winning bid if there are seven bidders. [ _______________ , _______________ ] (Explain).