The Transportation Security Administration (TSA) collects data on wait time at each of its airport security checkpoints. For flights departing from Terminal 3 at John F. Kennedy International Airport (JFK) between 3:00 and 4:00 PM on Wednesday, the mean wait time is 12 minutes, and the maximum wait time is 16 minutes. [Source: Transportation Security Administration, summary statistics based on historical data collected between February 18, 2008, and March 17, 2008.]
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The Transportation Security Administration (TSA) collects data on wait time at each of its airport security checkpoints. For flights departing from Terminal 3 at John F. Kennedy International Airport (JFK) between 3:00 and 4:00 PM on Wednesday, the mean wait time is 12 minutes, and the maximum wait time is 16 minutes. [Source: Transportation Security Administration, summary statistics based on historical data collected between February 18, 2008, and March 17, 2008.]
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- The National Center for Health Statistics, housed within the U.S. Centers for Disease Control and Prevention (CDC), tracks the number of adults in the United States who have health insurance. According to this agency, the uninsured rates for Americans in 2018 are as follows: 5.1% of those under the age of 18, 12.4% of those ages 18-64, and 1.1% of those 65and older do not have health insurance (CDC website). Approximately 22.8% of Americans are under age 18, and 61.4% of Americans are aged 18-64. Given that the person is an uninsured American, what is the probability that the person is 65 or older (to 3 decimals)?In 2010, the U.S. Congress passed the historic health care reform bill that will provide some type of coverage for the 32 million Americans currently without health care insurance. Just how widespread is the lack of medical coverage? The media claim that the segments of the population most at risk for disease and thus needing healthcare are women, children, the elderly and the poor. The following tables were generated from the U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement (2011). Explain using supportive arguments from your analyses. Write a general summary paragraph identifying groups lacking in coverage by gender, age and income and commenting on the headline. Reference the observed numbers and percentages in your summary paragraph to see how the groups trend in identifying potentially more at-risk. Analysises for reference: Is being insured or not dependent on gender? Fill in the degrees of freedom and p-value in the output below and draw…In 2010, the U.S. Congress passed the historic health care reform bill that will provide some type of coverage for the 32 million Americans currently without health care insurance. Just how widespread is the lack of medical coverage? The media claim that the segments of the population most at risk for disease and thus needing healthcare are women, children, the elderly and the poor. The following tables were generated from the U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement (2011). The tables report the number of uninsured (in thousands) by sex, by age, and by household income Is being insured or not dependent on the age groups identified in the analysis? Fill in the degrees of freedom and p-value in the output below and draw a clear conclusion indicating which age-groups are more at risk of not being insured if there is a significant relationship
- In 2010, the U.S. Congress passed the historic health care reform bill that will provide some type of coverage for the 32 million Americans currently without health care insurance. Just how widespread is the lack of medical coverage? The media claim that the segments of the population most at risk for disease and thus needing healthcare are women, children, the elderly and the poor. The following tables were generated from the U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement (2011). The tables report the number of uninsured (in thousands) by sex, by age, and by household income. Is being insured or not dependent on gender? Fill in the degrees of freedom and p-value in the output below and draw a clear conclusion indicating which gender is more at risk of not being insured if there is a significant difference.In 2010, the U.S. Congress passed the historic health care reform bill that will provide some type of coverage for the 32 million Americans currently without health care insurance. Just how widespread is the lack of medical coverage? The media claim that the segments of the population most at risk for disease and thus needing healthcare are women, children, the elderly and the poor. The following tables were generated from the U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement (2011). The tables report the number of uninsured (in thousands) by sex, by age, and by household income Is being insured or not dependent on the income groups identified in the analysis? Fill in the degrees of freedom and p-value in the output below and draw a clear conclusion indicating which income-groups are more at risk of not being insured if there is a significant relationship.Johnson 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. The revised data follow. Click on the datafile logo to reference the data. DATA file Repair Time Months Since in Hours Last Service Type of Repair Repairperson 2.9 Electrical Dave Newton 3.0 Mechanical Dave Newton 4.8 8. Electrical Bob Jones 1.8 Mechanical Dave Newton 2.9 Electrical Dave Newton 4.9 Electrical Bob Jones 4.2 6. Mechanical Bob Jones 4.8 8. Mechanical Bob Jones 4.4 4. Electrical Bob Jones 4.5 Electrical Dave Newton a. Ignore for now the months since the last maintenance service (1 ) and the repairperson who performed the service. Develop the estimated simpe linear regression equation to predict the repair time (y) given the type of repair (2 ). Recall that…
- The following data represent the monthly phone use, in minutes, of a customer enrolled in a fraud prevention program for the past 20 months. The phone company decides to use the upper fence as the cutoff point for the number of minutes at which the customer should be contacted. What is the cutoff point? 381 352 542 383 302 540 335 444 471 455 431 483 427 486 502 313 417 509 421 312 The cutoff point is minutes. (Round to the nearest minute.)The manager of a trendy downtown café in Columbus, Ohio, collects weekly data on the number of customers it serves. The accompanying file contains the data. Week Customers 1 944 2 997 3 962 4 956 5 1045 6 1120 7 1069 8 1000 9 923 10 835 11 840 12 784 13 793 14 851 15 903 16 854 17 918 18 991 19 986 20 930 21 983 22 1008 23 962 24 888 25 895 26 978 27 1047 28 1050 29 1136 30 1225 31 1205 32 1195 33 1188 34 1177 35 1097 36 1074 37 1017 38 967 39 1007 40 949 41 930 42 1010 43 984 44 1091 45 1189 46 1254 47 1182 48 1235 49 1323 50 1305 51 1381 52 1365 1. Use the simple exponential smoothing technique with α = 0.2 to make a forecast for Week 53. Note: Do not round intermediate calculations. Round final answer to 2 decimal places. 2. Use the simple exponential smoothing technique with α = 0.4 to make a forecast for Week 53. Note: Do not round intermediate calculations. Round final…assume that the facility has been operational for 6 months. The company was fully staffed on Day 1 but recently has seen an increase in turnover. In response, the HR Director (located in NE) began the process of gathering data from both turnover reports/exit interviews from both locations for the first half of the year (January – June). Below is a breakdown of turnover by Position, Exit Month, Department, Location, Manager, and Reason. Unfortunately, the Reason has not been recorded consistently at the Texas location and the HR Manager (who would know this information) has recently left the company. Based on the data provided, what conclusions could you draw regarding potential issues at these facilities Position Pay Grade Exit Month Department Location Manager Reason Customer Service Rep 7 Janurary Operations TX Smith Job Fit Customer Service Rep 7 February Operations NE Jones Lack of Growth Marketing Manager 13 March Marketing NE Shultz Personal Operations Lead 8…
- Spring is a peak time for selling houses. Suppose the data below contains the selling price, number of bathrooms, square footage, and number of bedrooms of 26 homes sold in Ft. Thomas, Kentucky, in spring 2018. Selling Price Baths Sq Ft Selling Price 160,000 170,000 178,000 182,500 195,100 212,500 245,900 250,000 255,000 258,000 267,000 268,000 275,000 1.5 1,786 2 1,768 1 1,219 1 1,578 1.5 1,125 2 1,196 2 2,128 N W 3 2 1,280 1,596 3.5 2,374 2.5 2,439 2 1,470 2 1,688 Beds 3 3 3 2 3 2 3 3 3 4 3 4 4 295,000 325,000 325,000 328,400 331,000 344,500 365,000 385,000 395,000 399,000 430,000 430,000 454,000 Baths Sq Ft 2.5 1,860 3 2,056 3.5 2,776 2 1,408 1.5 1,972 2.5 1,736 2.5 1,990 2.5 3,640 2.5 1,928 2 2,108 2 2,462 2 2,615 3.5 3,700 Beds 3 4 4 4 3 3 4 4 4 3 4 4 4 Consider the estimated regression equation we developed that can be used to predict the selling price given the number of bathrooms, square footage, and number of bedrooms in the house. (x, denotes number of bathrooms, x₂ denotes…The higher education department of Holmes Institute recorded data on the number of students enrolled in the different study majors for the years 2018 and 2019. Study major 2018 2019 Statistics 1700 2250 Business law 700 900 Accounting 1300 1450 Economics 750 1000 Finance 1450 1758 Marketing management 1069 1189 Auditing 360 351 Use an appropriate graphical technique or chart to compare the number of enrolment in 2018 and 2019 of the different study major. Display the chart. Use an appropriate graphical technique or chart to display the percentage value of the number of enrolment of the different study major in 2018 and 2019. Display the chart.Jane White has recorded the following sales figures for last year for herbusiness: January, $35,645; February, $35,456; March, $31,270; April,$32,129; May, $34,456; June, $35,256; July, $36,218; August, $35,456;September, $34,250; October, $32,156; November, $30,125; December,$32,275. She wants to select from one of three models: a 3-month movingaverage, a weighted moving average (she believes that the weightsshould be 0.2, 0.3, and 0.5), and an exponential smoothing average inwhich she uses an α of 0.2 and an assumed forecast for January of Year 1of $35,000.a. Construct a table that shows each of these forecasts for the current year andprovide the forecast for January of Year 2.b. Using the available data and your forecasts, which model do you suggest thatJane use for her business?
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