What is the mean, variance, and standard variation of this data?
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What is the mean, variance, and standard variation of this data?
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- Cholesterol Cholesterol in human blood is necessary, but too much can lead to health problems. There are three main types of cholesterol: HDL (high-density lipoproteins), LDL (low-density lipoproteins), and VLDL (very low-density lipoproteins). HDL is considered “good” cholesterol; LDL and VLDL are considered “bad” cholesterol. A standard fasting cholesterol blood test measures total cholesterol, HDL cholesterol, and triglycerides. These numbers are used to estimate LDL and VLDL, which are difficult to measure directly. Your doctor recommends that your combined LDL/VLDL cholesterol level be less than 130 milligrams per deciliter, your HDL cholesterol level be at least 60 milligrams per deciliter, and your total cholesterol level be no more than 200 milligrams per deciliter. (a) Write a system of linear inequalities for the recommended cholesterol levels. Let x represent the HDL cholesterol level, and let y represent the combined LDL VLDL cholesterol level. (b) Graph the system of inequalities from part (a). Label any vertices of the solution region. (c) Is the following set of cholesterol levels within the recommendations? Explain. LDL/VLDL: 120 milligrams per deciliter HDL: 90 milligrams per deciliter Total: 210 milligrams per deciliter (d) Give an example of cholesterol levels in which the LDL/VLDL cholesterol level is too high but the HDL cholesterol level is acceptable. (e) Another recommendation is that the ratio of total cholesterol to HDL cholesterol be less than 4 (that is, less than 4 to 1). Identify a point in the solution region from part (b) that meets this recommendation, and explain why it meets the recommendation.Carrier Previous Year On-time Percentage Current Year On-time Percentage Blue Box Shipping 88.4% 86.8% Cheetah LLC 89.3% 86.8% Granite State Carriers 81.8% 86.8% Honsin Limited 74.2% 86.8% Jones Brothers 68.9% 86.8% Minuteman Company 91.0% 86.8% Rapid Response 78.8% 86.8% Smith Logistics 84.3% 86.8% Super Freight 92.1% 86.8% Ohio Logistics manages the logistical activities for firms by matching companies thatneed products shipped with carriers that can provide the best rates and best service forthe companies. Ohio Logistics is very concerned that its carriers deliver their customers’material on time, so it carefully monitors the percentage of on-time deliveries. Thefollowing table contains a list of the carriers used by Ohio Logistics and thecorresponding on-time percentages for the current and previous years. (Please refer tothe Carriers Data file)a. Sort the carriers in descending order by their current year’s percentage of on-timedeliveries. Which carrier is…A consumer information website tracks automobile complaints. Their report contains consumer vehicle complaint submissions by automaker, brand, and category. The accompanying tables represent complaints received by automaker and complaints received by category for January 2013. Complete parts a through d. Complaints by Automaker Automaker Number A 329 B 458 C 440 D 511 E 441 F 197 Other 431 Complaints by Category Category Number Airbags and seatbelts 245 Body and glass 268 Brakes 124 Fuel/emission/exhaust system 283 Interior electronics/hardware 204 Powertrain 1116 Steering 374 Tires and wheels 105 a. Compute the percentage of complaints for each automaker. Automaker Number Percentage A 329 enter your response here% B…
- A consumer information website tracks automobile complaints. Their report contains consumer vehicle complaint submissions by automaker, brand, and category. The accompanying tables represent complaints received by automaker and complaints received by category for January 2013. Complete parts a through d. Complaints by Automaker Automaker Number A 329 B 458 C 440 D 511 E 441 F 197 Other 431 Complaints by Category Category Number Airbags and seatbelts 245 Body and glass 268 Brakes 124 Fuel/emission/exhaust system 283 Interior electronics/hardware 204 Powertrain 1116 Steering 374 Tires and wheels 105 Compute the percentage of complaints for each category. Category Number Percentage Airbags and seatbelts 245 enter your…As part of a study designed to compare hybrid and similarly equipped conventional vehicles, Consumer Reports tested a variety of classes of hybrid and all-gas model cars and aport utility vehicles (SUV’s). You are given the required information: Make/Model Class Type MPG Honda Civic Small Car Hybrid 37 Honda Civic Small Car Conventional 28 Toyota Prius Small Car Hybrid 44 Toyota Corolla Small Car Conventional 32 Chevrolet Malibu Midsize Car Hybrid 27 Chevrolet Malibu Midsize Car Conventional 23 Nissan Altima Midsize Car Hybrid 32 Nissan Altima Midsize Car Conventional 25 Ford Escape Small SUV Hybrid 27 Ford Escape Small SUV Conventional 21 Saturn Vue Small SUV Hybrid 28 Saturn Vue Small SUV Conventional 22 Lexus RX Midsize SUV Hybrid 23 Lexus RX Midsize SUV Conventional 19 Toyota Highlander Midsize SUV Hybrid 24 Toyota Highlander Midsize SUV Conventional 18 Using minitab, test for any significant effect due to Class, Type and Interaction using…Make andmodel VehicleClass TransmissionType Number ofCylinders Citympg Highwaympg AnnualFuel Cost Chevrolet Corvette Two-seater Manual 8 17 29 $2,650 Nissan Cube Small station wagon Manual 4 25 30 $1,850 Ford Fusion Midsize Automatic 4 23 36 $1,800 Chevrolet Impala Large Automatic 6 18 28 $2,400 Which of these variables are categorical? (Select all that apply.) annual fuel cost city mpg highway mpg make and model motor number of cylinders owner transmission type vehicle class
- 15 Data: PRESIDENT HEIGHT HEIGHT OPPWilson 180 182Jefferson 189 170Polk 173 185Harrison 168 180Garfield 183 187Buchanan 183 175Taylor 173 174F. Roosevelt 188 182Taft 182 178McKinley 170 178Lincoln 193 188Harding 183 178Johnson 192 180Cleveland 180 180J. Adams 170 189Eisenhower 179 178J. Kennedy 183 182Harrison 173 168Clinton 188 188Coolidge 178 180NORTH–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 comparisonsA national restaurant chain is composed of 6500 restaurants, each of which is located in close proximity to an interstate highway. The restaurant's business strategy is to serve its core customer base: people traveling on the interstate highway system who are looking for a quality dining experience. Customers generally enjoy the restaurant chain's menu, atmosphere, and consistency from restaurant to restaurant. The company's leadership, located at corporate headquarters, is very interested in the relationship between the cost of a gallon of gasoline and the company's revenue. Specifically, the company is concerned that if gasoline prices rise in the near future, the company's revenue will decline dramatically. The company's research department recently collected data for analysis in order to support leadership's upcoming discussion of whether the company should expand and diversify to locations away from an interstate highway. Annual revenue figures from a random sample of…
- State HouseholdIncome Region Population EighthGradeMath HighSchool College IQ GSP Vegetables Fruit Smokers PhysicalActivity Obese NonWhite HeavyDrinkers Electoral ObamaVote ObamaRomney TwoParents StudentSpending Insured Alabama 43.253 S 4.849 269.2 84.9 24.9 95.7 32.615 74.2 54.1 21.5 45.4 32.4 30.7 4.3 9 0.384 R 58.7 8.755 78.8 Alaska 70.76 W 0.737 281.6 92.8 24.7 99 61.156 80.8 60.3 22.6 55.3 28.4 33.1 8.2 3 0.408 R 69.6 18.175 79.8 Arizona 49.774 W 6.731 279.7 85.6 25.5 97.4 35.195 76.2 60.5 16.3 51.9 26.8 20.8 6.3 11 0.446 R 62.7 7.208 74.7 Arkansas 40.768 S 2.966 277.9 87.1 22.4 97.5 31.837 72 49.5 25.9 41.2 34.6 21.7 5 6 0.369 R 62 9.394 71.7 California 61.094 W 38.803 275.9 84.1 31.4 95.5 46.029 82.7 69.6 12.5 56.3 24.1 37.7 6.4 55 0.602 O 65.3 9.22 79.7 Colorado 58.433 W 5.356 289.7 89.5 37 101.6 46.242 80.9 64.3 17.7 60.4 21.3 15.8 6.7 9 0.515 O 69.9 8.647 80 Connecticut 69.461 NE 3.597 285.2 91 39.8 103.1 54.925 77.8 66.3 15.5 50.9 25 22.1 6.3 7…U.S. Manufactured General Aviation Shipments, 1984–2016Year Planes Year Planes Year Planes Year Planes1984 3,289 1992 1,799 2000 3,674 2008 3,937 1985 2,887 1993 1,822 2001 3,492 2009 2,443 1986 2,353 1994 1,786 2002 3,065 2010 2,192 1987 1,943 1995 1,935 2003 2,995 2011 2,181 1988 2,070 1996 1,973 2004 3,213 2012 2,374 1989 2,393 1997 2,407 2005 3,715 2013 2,473 1990 2,002 1998 3,058 2006 4,005 2014 2,489 1991 1,879 1999 3,362 2007 4,137 2015 2,450 Make a forecast for 2016 using a method of your choice (including a judgment forecast). Justify your method. (Round your answer to the nearest whole number.)A national restaurant chain is composed of 6500 restaurants, each of which is located in close proximity to an interstate highway. The restaurant's business strategy is to serve its core customer base: people travelling on the interstate highway system who are looking for a quality dining experience. Customers generally enjoy the restaurant chain's menu, atmosphere, and consistency from restaurant to restaurant. The company's leadership, located at corporate headquarters, is very interested in the relationship between the cost of a gallon of gasoline and the company's revenue. Specifically, the company is concerned that if gasoline prices rise in the near future, the company's revenue will decline dramatically. The company's research department recently collected data for analysis in order to support leadership's upcoming discussion of whether the company should expand and diversify to locations away from an interstate highway. Annual revenue figures from a random sample…