4.3) •VA report from Texas Transportation Institute(Texas A&M University System 2005) on Congestion Re-duction Strategies looked into the extra travel time (due totraffic congestion) for commute travel per traveler per yearin hours for different urban areas. Below are the data forurban areas that had a population of over 3 million for theyear 2002.Extra Hours perTraveler per YearUrban AreaLos AngelesSan Francisco9875Washington DCAtlanta6664Houston65Dallas, Fort WorthChicagoDetroit615554Miami48Boston53New York50Phoenix49Philadelphia404. Compute the mean and median values for extra travelhours. Based on the values of the mean and median, is thedistribution of extra travel hours likely to be approximatelysymmetric, positively skewed, or negatively skewed? b. Construct a modified boxplot for these data and com-ment on any interesting features of the plot.

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Description: 4.3) •VA report from Texas Transportation Institute(Texas A&M University System 2005) on Congestion Re-duction Strategies looked into the extra travel time (due totraffic congestion) for commute travel per traveler per yearin hours for different urb

n = 13 Let, X: Extra Hours per Traveler per year. Given data is: Xi 98 75 66 64 65…

Math

Statistics

4.3) vA report from Texas Transportation Institute (Texas A&M University System 2005) on Congestion Re- duction Strategies looked into the extra travel time (due to traffic congestion) for commute travel per traveler per year in hours for different urban areas. Below are the data for urban areas that had a population of over 3 million for the year 2002. Extra Hours per Traveler per Year Urban Area Los Angeles 98 San Francisco 75

4.3) vA report from Texas Transportation Institute (Texas A&M University System 2005) on Congestion Re- duction Strategies looked into the extra travel time (due to traffic congestion) for commute travel per traveler per year in hours for different urban areas. Below are the data for urban areas that had a population of over 3 million for the year 2002. Extra Hours per Traveler per Year Urban Area Los Angeles 98 San Francisco 75

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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3) U.S. Health care expenditures. Because the over-65 population is growing more rapidly in the next few decades health care spending is expected to increase significantly in the next few decades. The following table gives the projected US health care expenditure (in trillions) from 2008 to 2013 Year 2008 2009 2010 2011 2012 2012 Expenditure 2.34 2.47 2.57 2.70 2.85 3.02 a) Draw a scatter diagram for this data. Use “Years since 2008” on the x-axis. Make sure the scatter diagram includes all required elements (axes labels, title, and appropriate scale) b) Use the points for 2009 and 2011 to find an equation of a line modeling this situation c) Use linear regression to find an equation of a line modeling this situation d) Use the equation in b to predict expenditures in 2016 and do this again for the equation in part c. What is the absolute and percentage difference between the two equations (use the equation in c as the base equation in the % calculation) e) Now use…
The Big Mac index is a way of measuring Purchasing Power Parity (PPP) between different countries. By diverting the average national Big Mac prices to U.S. dollars, the same goods can be informally compared. The Big Mac can also be a good indicator for the individual purchasing power of an economy since he exists worldwide in standard size, composition and quality. Price # of Countries Rel. f. Cum. f 1.50-1.99 2 2.00-2.49 4 2.50-2.99 7 3.00-3.49 9 3.50-3.99 7 4.00-4.49 8 4.50-4.99 9 5.00-5.49 7 5.50-5.99 1 6.00-6.49 2 6.50-6.99 1
A research paper describes a study of the relationship between age and 1-hour swimming performance. Data on age and swim distance for over 10,000 men participating in a national long-distance 1-hour swimming competition are summarized in the accompanying table. ITI Representative Age (Midpoint of Age Group) Average Swim Distance (meters) Age Group 20-29 25 3913.5 30-39 35 3718.8 40-49 45 3579.4 50-59 55 3351.9 60-69 65 3000.1 70-79 75 2639.0 80-89 85 2118.4 (a) Find the equation of the least-squares line with x = representative age and y average swim distance. (Round your numerical values to three decimal places.) %3D ŷ = 4791.696 X + -29.015 (b) Compute the seven residuals. (Round your answers to three decimal places.) Representative Age (x) Residual (meters) 25 -152.821 35 -37.371 45 93.379 55 166.029 65 94.379 75 43.429 85 -207.021 X X X X
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59. Find the value of Mode from the following data : Size of item Frequency 100-110 4 110-120 120-130 20 130-140 32 140-150 33 150-160 17 160-170 8. 170-180 2 L 8 100
A problem with a phone line that prevents a customer from receiving or making calls is upsetting to both the customer and the telecommunications company. The file “Phone” contains samples of 20 problems reported to two different offices of a telecommunications company and the time toclear these problems (in minutes) from the customers’ lines: Central Office I Time to Clear Problems (minutes) 1.48 1.75 0.78 2.85 0.52 1.60 4.15 3.97 1.48 3.10 1.02 0.53 0.93 1.60 0.80 1.05 6.32 3.93 5.45 0.97 Central Office II Time to Clear Problems (minutes) 7.55 3.75 0.10 1.10 0.60 0.52 3.30 2.10 0.58 4.02 3.75 0.65 1.92 0.60 1.53 4.23 0.08 1.48 1.65 0.72 Assuming that the population variances from both offices are not equal, is there evidence of a difference in the mean waiting time between two offices? (Use a = 0.01) ▪ You may need to download file “Phone”. Referring to Table 10-2, which of the following is an appropriate null hypothesis? Question 2 options: 1)…
Burning fuels in power plants and motor vehicles emits carbon dioxide (CO2), which contributes to global warming. The CO2 emissions (metric tons per capita) for countries varies from 0.02 in Burundi to 44.02 in Qatar. Although the data set includes 214 countries, the CO2 emissions of 15 countries are not available on the World Bank database. The data set is too large to display but the data for the first five countries is given. Use the full data set with data on the 214 countries to answer the questions. To access the complete data set, click the link for your preferred software format: Excel Minitab JMP SPSS TI R Mac-TXT PC-TXT CSV Crunchlt! Country CO2 Emissions (Metric Tons per Capita) Aruba 23.92 Andorra 5.97 Afghanistan 0.43 Angola 1.35 Albania 1.61 Find the mean and the median for the full data set. Round your answers to three decimal places. The mean for these data is tons per person The median for these data is tons per person
A study identified top accounting firms across the United States. The Southeast and Gulf Coast regions reported the highest combined growths. A characteristic description of the accounting firms in the Southeast and Gulf Coast regions included the number of partners in the firm. Below represents the number of partners within various firms of the two regions [Southeast and Gulf Coast]. Southeast 174 Gulf Coast 79Southeast 45 Gulf Coast 106Southeast 29 Gulf Coast 22Southeast 51 Gulf Coast 22Southeast 40 Gulf Coast 38Southeast 10 Gulf Coast 17Southeast 29 Gulf Coast 27Southeast 37 Gulf Coast 21Southeast 32 Gulf Coast 17Southeast 22 Gulf Coast 12Southeast 9 Gulf Coast 9Southeast 30 Gulf Coast 6Southeast 21 Gulf Coast 9…
16. A shortage of candidates has required school districts to pay higher salaries and offer extras to attract and retain school district superintendents. The following data show the annual base salary (S1000s) for superintendents in 20 districts in the greater Rochester, New York, area (The Rochester Democrat and Chronicle, February 10, 2008). 187 184 174 185 175 172 202 197 165 208 215 164 162 172 182 156 172 175 170 183 Use classes of 150-159. 160-169, and so on in the following. Show the frequency distribution. b. a. Show the percent frequency distribution. Show the cumulative percent frequency distribution. d. Develop a histogram for the annual base salary. Do the data appear to be skewed Explain. f. C. e. What percentage of the superintendents make more than $200.000?
A research paper describes a study of the relationship between age and 1-hour swimming performance. Data on age and swim distance for over 10,000 men participating in a national long-distance 1-hour swimming competition are summarized in the accompanying table. Representative Age (Midpoint of Age Group) Average Swim Distance (meters) Age Group 20-29 25 3913.5 30-39 35 3718.8 40-49 45 3579.4 50-59 55 3351.9 60-69 65 3000.1 70-79 75 2639.0 80-89 85 2118.4 (a) Find the equation of the least-squares line with x = representative age and y = average swim distance. (Round your numerical values to three decimal places.) + (b) Compute the seven residuals. (Round your answers to three decimal places.) Representative Age (x) Residual (meters) 25 35 45 55 65 75 85 Use the seven residuals to construct a residual plot. Residual Residual Residual 200 200 200 100 100 100 - 100 -100 - 100
In 2015, over 30,000 Americans died from opioid overdoses, and the number of inpatient stays and emergency visits to hospitals related to opiods increased dramatically compared to previous years. The National Institutes of Health (NIH) have partnered with the Healthcare Cost and Utilization Project (HCUP) to gather data on opioid-related deaths and hospitalizations. These data include information about inpatient stays, emergency department visits, age, sex, income, and opiod-related use. For a given patient admitted to a hopsital for an opioid-related event, identify which of these events are disjoint. The patient stayed at the hospital for over a week. The patient was 62 years old. The patient was male. The patient's duration of stay was one day. The patient was admitted to a large metropolitan hospital.
A report provided an overview of the complaints about airlines received by the Department of Transportation. The table below gives the number of complaints received by type of complaint for the years 2014 and 2015. 2014 Number of 2015 Number of Type of Complaint Complaints Received Complaints Received Flight Problems 4,204 5,406 Baggage Handling 1,728 2,050 Reservations, Ticketing, Boarding 1,276 1,807 Customer Service 1,301 1,728 Fares 699 1,300 Other 2,257 2,769 Suppose that one of these complaints is randomly selected for a follow-up interview. Use the given information to estimate the following probabilities. (Round your answers to three decimal places.) (a) the probability that a complaint made in 2014 was about baggage handling (b) the probability that a complaint made in 2015 was not about flight problems (c) the probability that two complaints made in 2015 were both about flight problems (d) the probability that a complaint made in 2014 was either about flight problems or…