Please answer the following question using the images provided for data in the images. 1. Which of the following time periods will have the largest annual average increase in the percentage of jobs that could be fully automated (based on the provided images attached)?A) 2020-2028B) 2028-2030C) 2030-2035D) 2035-2040E) 2040-2050 Likelihood of industries becoming automated in the futureProportion of jobs and their risk of automation. Note: the graph shows a linear decrease in the proportion of jobs at risk of full automation.60%55%50%45%40%35%30%25%20%15%10%5%0%LLLLLLRetailWaste Management6 at 2.48.30 PMTechnical feasibility of job automationLikelihood of automating job tasksPredictablePhysicalWorkDataProcessingDataCollectionUnpredictablePhysicalWorkStakeholderInteractionsApplyingExpertisewithClientsTransportation and StorageManagingOthers0% 2% 4% 6% 8%ManufacturingAdministrationFinance and InsuranceProportion of Jobs at Risk of Full Automation Employment Share of Total JobsⓇ% of Tasks which could be Automated % of Time Spent on Tasks in all Swiss OccupationsElectricity and Gas10% 12% 14% 16% 18% 20% 22% 24% 26% 28% 30% 32% 34% 36% 38% 40% 42% 44% 46% 48% 50% 52% 54% 56% 58% 60% 62% 64% 66% 68% 70% 72% 74% 76% 78%(^OtherQ Search s.jpegPreparingfor AutomationThe possibility of having robots ormechanical assistants completing ourlaborious, dangerous, or repetitiveday-to-day tasks has long been adream of humanity. Now, as RoboticProcess Automation (RPA) becomescommonplace, this dream-orconcern, depending on viewpoint-is getting closer.RPA, far from the walking, talking androidcommonly found in science fiction series,can be thought of as a programmablepiece of software which, through usinga series of rules, will complete repetitivetasks with a lower error rate and lessinterruption than a human completingthe same tasks. The aim of RPA, beyondimproving efficiency, is to free uphumans from the monotony of roleslike data entry, stock management andpredictable physical work, to focus onmore critical, unpredictable tasks suchas decision making, interpreting, anddelivering insight to customers.The Human ElementPosted on July 18th, 2020 | 0 commentsAsk any expert and you can almostguarantee that they will inform youthat years of data reliably point tothe conclusion that automation hasalways created more jobs than it hasremoved. The invention of the ploughhas allowed us to stop working on farmsand technology has continued in thisfashion, boosting productivity and, inturn, providing greater work satisfactionand improved living standards.It is currently estimated that 3% of rolescould be entirely automated using thetechnology we have available to us now.By 2025 this will have risen to around35%, by 2030 it will be at 50% and by2080 scientists are predicting advancedartificial intelligence (Al) technologieswill have replaced 85% of current jobs.A more astonishing figure is the 42%of roles which could be made moreefficient, more productive, and moreenjoyable through automating individualtasks within the wider role. This isnot spread evenly across industries,however - certain industries like wastemanagement, an industry with a CHF 48billion salary bill in Switzerland, wheremany humans are currently paid 'hazardThe rise of automation has been hailed as the solution to all of society's ills by the tech elite.By removing the human element from the job, the thinking goes, we can produce more,faster, better and cheaper. The problem with this is that the human element' here is, well,human. By removing people from these roles, we are looking at creating de-employment ona massive scale. There is little we can do to stop the advance of this technology and it is allcoming at too quick a pace for regulators to account for.We already see evidence of a lack of opportunity to work in our society. People working inSwitzerland are now working for an average of 20.3 hours a week when holidays are takeninto account. Switzerland's average weekly earning is CHF 1,615. Switzerland currently has anunemployment rate of 3.3 % with 264,000 people currently unemployed. Tech analysts arepredicting that we will lose 50% of current jobs in the next 7 or 8 years. Population increasesyear on year of 0.8% will further compound this issue. All of this leads one to ask, what willpeople do for work in an automated future?So, what will a post-automation society look like? By separating capital generation completelyfrom labour, we are set to embark on an age of mass unemployment, the likes of which wehave never seen.Mass unemployment is likely to create large proportions of our society without a productiveoutlet or sense of identity, as well as widening the gap between rich and poor. This futurecould be a very bleak one indeed.pay to do dangerous but repetitivetasks, is the industry in Switzerland withthe highest potential for automation.As we begin to enter this FourthIndustrial Revolution, it is becomingapparent that there is a separation oforganisations into two clear groups:those who are using basic digitisationto support their business, and thosewho have re-examined the way they dobusiness and integrated combinationsof technologies, including RPA, to greateffect.So, should we run for the hills or turnand embrace RPA? The answer is notclear but, looking at those who havebenefitted from this technology already,preparation for automation will be key."By 2080 scientists are predictingadvanced artificial intelligence(Al) technologies will havereplaced 85% of current jobs"People workingin Switzerland are nowworking for an average of20.3 hours a week whenholidays are takeninto account.Analystspredict that 50%of current jobs willbe lost in the next7 to 8 yearsSwitzerlandcurrently has anunemployment rateof 3.3% with 264,000people currentlyunemployedSwitzerland'saverage weeklyearning isCHF 1,615U₂

Please answer the following question using the images provided for data in the images. 1. Which of the following time periods will have the largest annual average increase in the percentage of jobs that could be fully automated (based on the provided images attached)? A) 2020-2028 B) 2028-2030 C) 2030-2035 D) 2035-2040 E) 2040-2050

Please answer the following question using the images provided for data in the images. 1. Which of the following time periods will have the largest annual average increase in the percentage of jobs that could be fully automated (based on the provided images attached)? A) 2020-2028 B) 2028-2030 C) 2030-2035 D) 2035-2040 E) 2040-2050

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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Illustration 22.2. Compute the gross and net reproduction rates from the data given below: Age groups 15-19 20-24 25–29 30–34 35–39 40-44 45-49, Femal pop. (000) Female births 18900 71100 96900 1558 1112 1595 1629 1627 1522 1401 64200 34900 10800 800 Survival rate 0.914 0.899 0.884 0.868 0.852 0.834 0.813
Calculate Age-specific birth rates for the following data Female Popula- Age of Mother Registered Births tion 70000 53420 42540 39100 34220 25890 22310 8000 18500 15 - 19 20 - 24 25 - 29 30 - 34 35 - 39 40 - 44 45 - 49 16100 11300 7550 2760 425
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…
Unit 5 Lab Background: Between the years of 1997 and 2003, the World Health Organization collected data on head circumference, arm circumference, and other body measurements for 8440 children from Brazil, Ghana, India, Norway, Oman and the USA. All of the children were healthy and breastfed by mothers who did not smoke. Children in the sample lived in socioeconomic conditions favorable to normal physical growth. Variables such as parental education level and income level were used to exclude children whose growth was “environmentally constrained”; however, low-weight full term babies were included if their mothers met socioeconomic and nutritional criteria. In short, the study design attempted to include healthy children from a wide range of ethnic and cultural groups whose home environments reasonably assured the conditions for healthy physical growth. This data was used to produce growth charts that are part of every pediatrician’s toolkit for monitoring a child’s overall…
Table 1 Table 1 Average Daily Electricity Consumption of PLANT A Time Time kW kW 1 700 13 2300 582 14 2555 3 612 15 2777 4 735 16 2890 5 430 17 3510 598 18 2850 7 757 19 2251 821 20 1890 876 21 1125 10 1520 22 800 11 1655 23 722 12 2000 24 655
South Shore Construction builds permanent docks and seawalls along the southern shore of Long Island, New York. Although the firm has been in business only five years, revenue has increased from $304,000 in the first year of operation to $1,094,000 in the most recent year. The following data show the quarterly sales revenue in thousands of dollars. Quarter Year 1 Year 2 Year 3 Year 4 Year 5 1 25 28 68 94 179 2 90 138 151 199 274 3 176 255 324 385 451 4 13 18 42 74 190
Please show work in Excel.
Note: kindly solve part b
please answer within 30 minutes.
How many variables are in plot 1?
a. Determine the nominal, ordinal, interval or ratio data. b. Determine if the given data is discrete or continuous.
C8. According to the Pew Research Center (2015), recent immigrants are better educated than earlier immigrants to the United States. The change was attributed to the availability of better education in each region or country of origin. The percentage of immigrants 25 years of age and older who completed at least high school is reported in this table for 1970 to 2013. Write a statement describing the change over time in the percentage who completed at least a high school degree. 1970 1980 1990 2000 2013 Mexico 14 17 26 30 48 Other Central/South America 57 53 60 66 Asia 75 72 75 82 84 48 68 81 87 95 Europe 36 48 52 58 72 Caribbean 81 91 88 85 85 Africa Source: Pew Research Center, Modern Immigration Wave Brings 59 Million to U.S., Driving Population Growth and Change Through 2065, 2015. Retrieved from https://www.pewresearch.org/hispanic/2015/09/28/modern- immigration-wave-brings-59-million-to-u-s-driving-population-growth-and-change-through-2065/ 52