b) The number of planes to arrive at the Dubai International Airport over N days were recorded and inputted into MINITAB for analysis. Exhibit 1 was subsequently generated. Exhibit 1 Stem-and-Leaf Display: No. of Arrival Leaf Unit = 1 N =* 2 01123 10 2 56899 ** 0001123 (***) 3 6666678888 12 4 01134 7 4 57789 2 5 00 NN3
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- The number of planes to arrive at the Dubai International Airport over N days were recorded and inputted into MINITAB for analysis. Exhibit 1 was subsequently generated. Exhibit 1Stem-and-Leaf Display: No. of Arrival Leaf Unit = 1 N =* 5 2 0112310 2 56899** 3 0001123(***) 3 666667888812 4 011347 4 577892 5 00 Calculate the missing values *, ** and *** ii. Find the value of thea) Median b) Highest value c) Mode c) Using the stem and leaf diagram in Exhibit 1,i. Form a frequency table by identifying the class intervals implicitly. Using the table created in 2ci) above, ii. Calculate the sample mean iii. Calculate the sample varianceComplete the following table to compare men and women using data collected at the first examination for each participant (n = 4434). Summarize your results in three to four sentences. Patient Characteristic* Men (n = 1944) Women (n = 2490) Age, years 49.89(8.7) 50.0(8.6) Systolic blood pressure, mmHg 132.9(0.43) 132.9(0.43) Hypertension 1404(72.2) 1848(74.2) Use of anti-hypertensive medication 42(2.16) 102(4.10) Current smoker 1175(60.44) 1006(40.40) Total serum cholesterol, mg/dL 233.5(4235.60) 239.6(4621.97) Serum Glucose Stoke 193(0.09) 222(0) * Mean (Standard deviation) or n (%)The Insurance Institute for Highway Saftey publishes data on the total damage suffered by compact automobiles in a series of controlled, low-speed collisions. A sample of the data in dollars, with brand names, removed, is 950,650,850,750 The interquartile range of the above data is?
- Delmarva Power is a utility company that would like to predict the monthly heating bill for a household in Kent County during the month of January. A random sample of 18 households in the county were selected and their January heating bill recorded. This data is shown in the table below along with the square footage of the house (SF), the age of the heating system in years (Age,) and the type of heating system (heat pump = 1 or natural gas = 0). Household Bill SF Age Type 1 $255 2,070 7 Natural Gas 2 $286 1,909 17 Natural Gas 3 $296 2,004 8 Natural Gas 4 $300 2,307 22 Natural Gas 5 $305 3,021 5 Natural Gas 6 $317 2,683 14 Natural Gas 7 $321 1,511 8 Natural Gas 8 $321 2,836 3 Natural Gas 9 $339 2,553 20 Natural Gas 10 $349 2,497 11 Natural Gas 11 $369 2,103 12 Heat Pump 12 $374 2,486 18 Heat Pump 13 $381 2,279 19 Heat…please contruct a chi sqaured analysis or t test from the data below Prevalence of Type 2 diabetes in UK- YEAR NUMBER OF PATIENTS WITH TYPE 2 DIABETES 2010 2455937 2011 2566436 2012 2703044 2013 2814004 2014 2913538 2015 2972408 2016 3116399 2017 3196124 2018 3,919,505 2019 3,940,000 2020 4,100,000 2021 4,245,900 2022 4,345,000Matilda was curious if sample interquartile range (IQR) was an unbiased estima- tor of population IQR. She placed ping pong balls numbered from 0 to 32 in a drum and mixed them well. Note that the IQR of the population is 16. She then took a random sample of 5 balls and calculated the IQR of the sample. She replaced the balls and repeated this process for a total of 50 trials. Her results are summarized in the dotplot below, where each dot represents the sample IQR from a sample of 5 balls. H|| 5 10 15 25 Sample IQR Based on these results, does sample IQR appear to be a biased or unbiased estimator of population IQR? Explain briefly. 20
- Delmarva Power is a utility company that would like to predict the monthly heating bill for a household in Kent County during the month of January. A random sample of 18 households in the county were selected and their January heating bill recorded. This data is shown in the table below along with square footage of the house (SF), the age of the heating system in years (Age,) and the type of heating system (heat pump =1 or natural gas = 2). Household Bill SF Age Type 1 $255 2,070 7 Natural Gas 2 $286 1,909 17 Natural Gas 3 $255 2,070 7 Natural Gas 4 $300 2,307 22 Natural Gas 5 $305 3,021 5 Natural Gas 6 $317 2,683 14 Natural Gas 7 $321 1,511 8 Natural Gas 8 $321 2,836 3 Natural Gas 9 $339 2,553 20 Natural Gas 10 $349 2,497 11 Natural Gas 11 $369 2,103 12 Heat pump 12 $374 2,486 18 Heat pump 13 $381 2,279 19 Heat pump…A lecturer at WIN wanted to know if he can predict student’s quiz results by asking them to complete a simple survey. The result of the survey is found in the file: Assignment 2 sem22020 data set 1.Quiz ResultActual Mark (0-15) for quiz student attainedEQRQuiz score (0-15) expected to get before taking the quizStudy Hrs.Number of hours per week (on average) spent studying for StatisticsAgeAge (in years)BBTSatisfaction rating of Big Bang TheorySexM=1 F=0MBMB=1 for good math background, otherwise 0MCMC= 1 if math centre is used regularly, otherwise 0AuHSAuHS = 1 if student completed high school in Australia, otherwise 0LMLM=1 if student likes math, 0 otherwiseTask 1: Variable List(a) Using the variables listed in the table above, Describe each variable.(b) State for each variable whether it is qualitative or quantitative; if it is qualitative, state whether it is nominal or ordinal, and if it is quantitative, state whether it is discrete or continuous.Task 2: HistogramCreate a histogram…The basic reproductive number Ro for a disease serves as a measure of the intensity of the outbreak. This number quantifies the average number of people who will catch a disease from one contagious person if everyone in the population was susceptible, and an epidemic will occur if Ro > 1. Consider the spread of the same disease in two different populations, each with N members. Select all the factors applied to Population 2 that could explain the basic reproductive number in Population 1 being less than the basic reproductive number in in Population 2. Rejection of practices such as wearing a face-mask and social distancing. Education and resources to implement practices such as hand washing. Poor nutrition. Poverty-related crowding. The population has access to quality healthcare.
- com/static/nb/ui/evo/index.html?deploymentld%3D57211919418147002668187168&elSBN=9781337114264&id%3D900392331&snapshotld%3D19233498 GE MINDTAP Q Search this course -ST 260 Save Submit Assignment for Grading ons Exercise 08.46 Algorithmic « Question 10 of 10 Check My Work (4 remaining) eBook The 92 million Americans of age 50 and over control 50 percent of all discretionary income. AARP estimates that the average annual expenditure on restaurants and carryout food was $1,876 for individuals in this age group. Suppose this estimate is based on a sample of 80 persons and that the sample standard deviation is $550. Round your answers to the nearest whole numbers. a. At 99% confidence, what is the margin of error? b. What is the 99% confidence interval for the population mean amount spent on restaurants and carryout food? C. What is your estimate of the total amount spent by Americans of age 50 and over on restaurants and carryout food? million d. If the amount spent on restaurants and…Dr. V. noticed that the more frequently a student is late or absent from class the worse he or she performs on the final exam. He decided to investigate. Dr. V. collected a random sample of 22 students. This sample includes the number of times a student is absent and their grades on the final exam. The data can be found in the Excel file Assignment10.xlsx. Do not use any software that I did not assign. Times Late/ Final Exam Absent Grade 9 84.00 92.50 12 52.00 5 87.00 11 75.00 24 45.00 39.00 10 46.00 19 63.00 2 65.00 2 98.00 17 24.50 8 58.00 20 69.50 55 49.00 23 68.50 70.00 4 75.50 2 85.00 97.00 2 97.00 2 93.50 93.50 2 78.00 2 86.00 2 88.00 Question 1: Which or the two variables (times absent or grades on the final exam) is the independent variable and which is the dependent variable? Question 2: Using Microsoft Excel: (Excel file Assignment10.xlsx) SHOW YOUR WORK а. Count the number of XY variables. b. Calculate the mean and sample standard deviation of both the independent and…Dr. V. noticed that the more frequently a student is late or absent from class the worse he or she performs on the final exam. He decided to investigate. Dr. V. collected a random sample of 22 students. This sample includes the number of times a student is absent and their grades on the final exam. The data can be found in the Excel file Assignment10.xlsx. Do not use any software that I did not assign. Times Late/ Final Exam Absent Grade 9 84.00 2 92.50 12 52.00 5 87.00 11 75.00 24 45.00 7 39.00 10 46.00 19 63.00 2 65.00 2 98.00 17 24.50 8 58.00 20 69.50 55 49.00 23 68.50 70.00 4 75.50 85.00 7 97.00 2 97.00 93.50 93.50 2 78.00 2 86.00 2 88.00 Question 1: Which or the two variables (times absent or grades on the final exam) is the independent variable and which is the dependent variable?