North Earth's Land lo Other 0.5% Australia 26 D 5.0% America 16.0% -Asia 30.0% South enter America- ge opielly loc lodka 12.0% Europe 88 7.0% Africa pdi ol jolqa Antarctica 20.0% 9.5%
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If Europe has approximatley 4.1 million mi2 of land, what is the total area of the land on Earth?
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- NORTH–SOUTH AIRLINE CASENorthern Airline DataAirframe CostEngine CostAverage AgeYearper Aircraftper Aircraft(Hours)200151.8043.496,512200254.9238.588,404200369.7051.4811,077200468.9058.7211,717200563.7245.4713,2752006 84.7350.2615,215200778.7479.6018,390Southeast Airline DataAirframe CostEngine CostAverage AgeYearPer Aircraftper Aircraft(Hours)200113.2918.865,107200225.1531.558,145200332.1840.437,360200431.7822.105,773200525.3419.697,150200632.7832.589,364200735.5638.078,2591. Develop Regression equations for each cost category as dependent variables and average age as independent variables. Do this for each Airline. Look at graphs produced by QM2. From the regression results, what would you conclude about a) airframe vs engine costs for each airlineb) comparing airlines as to airframe costsc) comparing airlines as to engine costsd) Provide a brief summary report of your comparisonsJohnson Filtration, Inc. provides maintenance service for water-filtration systems. Suppose that in addition to information on the number of months since the machine was serviced and whether a mechanical or an electrical repair was necessary, the managers obtained a list showing which repairperson performed the service. Repair Time(hours) Months SinceLast Service Type ofRepair Repairperson 2.9 2 electrical Dave Newton 3.0 6 mechanical Dave Newton 4.8 8 electrical Bob Jones 1.8 3 mechanical Dave Newton 2.9 2 electrical Dave Newton 4.9 7 electrical Bob Jones 4.2 9 mechanical Bob Jones 4.8 8 mechanical Bob Jones 4.4 4 electrical Bob Jones 4.5 6 electrical Dave Newton Ignore for now the months since the last maintenance service (x1 ) and the repairperson who performed the service. Develop the estimated simple linear regression equation to predict the repair time (y) given the…Advil and Motrin IB produce the same headache relief medication with the active ingredient ibuprofen. Each pillshould contain 200 mg of ibuprofen. A health agency obtains a sample of ten tablets from both manufacturers and measureshow much ibuprofen each pill actually contains.Number of milligrams measuredAdvil 199.25 198.50 200.10 200.75 201.00 198.00 200.10 199.00 201.10 202.20Motrin IB 205.00 195.80 195.20 203.20 205.80 194.40 204.60 194.60 207.20 194.20(a) Verify on your calculator that each sample has a mean value of 200 mg.(b) What is the range of each sample?(c) However, based on the given sample values, which company would you prefer to buy from? Justify your answer with statisticalreasoning. (Hint: argue using standard deviation and explain why this is desirable in this situation)
- The doctors community wants to ensure that each and every individual is aware of the importance if taking corona vaccines ,so they want to see If educating the locals. Who will get the crona vaccine will increase theneorcentage of the adults who will get vaccines as soon as they are eligible to . Identify the who and what ( response varaible)Based upon a survey of 17000 California residents; Gallup Poll notes that, if the election were held today, over half of all voters would vote to recall Gov. Davis. This is an example of***Only do this question using Minitab and be sure to show images and steps used*** Using Minitab and Interpreting Results cpafirm.csv (data for minitab): amount0.001.200.431.001.470.830.503.341.581.46-0.36-1.102.600.000.00-1.700.831.990.001.34 Medlin and Associates is a regional certified public accounting (CPA) firm located near Minneapolis. Recently, a team conducted an audit for a discount chain. One part of the audit involved developing anestimate for the mean dollar error in total charges that occurs during the checkout process. The firm wishes to develop a 95% confidence interval estimate for the population mean. The data cpaf irm.csvcan be read into Minitab. Note that positive values indicate that the customer was overcharged. Your statistics instructor claims that 60 percent of the students who take her Elementary Statistics class go through life feeling more enriched. For some reason that she can’t quite figure out, mostpeople don’t believe her. You decide to check this…
- 31 Data: Red Blue Brown Green Yellow0.744 0.844 0.918 0.942 0.8680.813 0.726 0.743 0.798 0.7240.997 0.717 0.818 0.727 0.7540.927 0.882 0.994 0.842 0.9510.825 0.969 0.997 0.828 0.771 0.993 0.918 0.854 0.999 0.786 0.963 0.972 0.872 0.904 0.752Data on the gasoline tax per gallon (in cents) as of a certain date for the 50 U.S. states and the District of Columbia are shown below. State Gasoline Taxper Gallon State Gasoline Taxper Gallon Alabama 19.1 Missouri 17.4 Alaska 8.9 Montana 27.9 Arizona 19.1 Nebraska 27.8 Arkansas 21.7 Nevada 23.9 California 37.3 New Hampshire 23.9 Colorado 23.2 New Jersey 14.5 Connecticut 24.9 New Mexico 19.0 Delaware 22.9 New York 33.9 District ofColumbia 23.4 North Carolina 35.2 North Dakota 22.9 Florida 30.7 Ohio 27.9 Georgia 26.6 Oklahoma 17.1 Hawaii 18.4 Oregon 30.1 Idaho 33.1 Pennsylvania 51.5 Illinois 33.0 Rhode Island 34.0 Indiana 28.9 South Carolina 16.9 Iowa 31.7 South Dakota 30.1 Kansas 24.9 Tennessee 21.3 Kentucky 25.9 Texas 20.1 Louisiana 20.8 Utah 30.2 Maine 31.5 Vermont 30.6 Maryland 32.9 Virginia 16.9 Massachusetts 26.6 Washington 44.7 Michigan 31.0 West Virginia 33.1 Minnesota 30.7 Wisconsin 32.8 Mississippi 18.3 Wyoming 24.1 (a) The smallest value in the data set is 8.9 (Alaska) and…sample Al St 1 8.1 8 2 4.9 8.1 3 8.4 8.2 4 6.9 7.4 5 6.1 7.6 6 7.2 7 7 6.2 6.9 8 6.6 8.2 9 6.7 8.3 10 5.3 7.9 11 8.6 8.7 12 7.7 9.7 13 6 7.5 14 9.1 5.8 In a manufacturing application, a aluminum alloy is replacing a previous steel alloy as the mainstructural component. In order to maintain the same performance, it is important to assess whetheror not the new alloy has the same coefficient of thermal expansion (CoTE) as the previous material.(a) Perform a hypothesis test to determine if their is strong evidence for the claim that there is adifference in the CoTE for these two materials to α = 0.01 level.(b) Construct a 95% confidence interval for the difference in the two population mean CoTE, µ1 −µ2.(c) Construct a plot that supports your results from part (a)
- In many colleges, educators are changing their approach to instruction from a “teacher/lecture-centeredmodel” to a “student-centered model” where students learn in a laboratory environment in which lectureis deemphasized and students can proceed at a pace suitable to their learning needs. In once schoolwhere this model was being introduced, of the 743 students who enrolled in the traditional lecture model, 364 passed; of the 567 in the student-centered model, 335 passed. Use a 0.05 level ofsignificance to test the claim that student-centered model results in a higher pass rate than the traditionalmodel?Kentville, a community of 10,000 people, resides next to a krypton mine, and there is a concern that the emission from the krypton smelter have resulted in adverse effects. Specifically, Kryptonosis seems to have killed 12 of Kentville’s inhabitants last year. A neighboring community, Lanesburg, has 25,000 inhabitants and is far enough from the smelter to not be affected by the emission. In Lanesburg, only three people last year died of Kryptonosis. Given that the number of deaths in Kentville and their causes last year were: Heart attack=7 Accidents=4 Kryptonosis=12 Other=6 What is the risk of dying of Kryptonosis in Kentville relative to non-contaminated locality?What is the risk of dying of Kryptonosis in Kentville relative to deaths due to other causes? How many times the chance of dying of Kryptonosis compared to dying of accidents ? How many times the chance of dying of Kryptonosis compared to Other causes?9. You work for an insurance company and are studying the relationship between types of crashes and the vehicles involved. As part of your study, you randomly select 3207 vehicle crashes and organize the resulting data as shown in the contingency table. At ? = 0.05, can you conclude that the type of crash depends on the type of vehicle?Vehicle Type of crash Car Lorry VanSingle-vehicle 895 493 45Multiple-vehicle 1400 336 38