If all positions were paid equally, how much would Switzerland spend on wages for data processing in a year? A) CHF 1.03 billion B) CHF 3.45 billion C) CHF 162.5 billion D) CHF 103.9 billion E) CHF 188.5 billion     Transcribed Image Text:Likelihood of industries becoming automated in the future Proportion 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% LLL H Retail Waste Management Transportation and Storage Technical feasibility of job automation Likelihood of automating job tasks Predictable Physical Work Data Processing Data Collection Unpredictable Physical Work Stakeholder Interactions Applying Expertise with Clients Managing Others 0% Finance and Insurance Proportion of Jobs at Risk of Full Automation Employment Share of Total Jobs 5% 10% 15% Manufacturing 20% 25% 30% % of Tasks which could be Automated 35% Administration 40% 45% 50% 55% Electricity and Gas 60% 65% % of Time Spent on Tasks in all Swiss Occupations 70% Other 75% 80%

An fruit grower knows from previous experience and careful data analysis that if the fruit on a specific kind of tree is harvested at this time of year, each tree will yield, on average, 127 pounds, and will sell for $4.6 per pound. However, for each additional week the harvest is delayed (up to a point), the yield per tree will increase by 2.1 pounds, while the price per pound will decrease by $0.07.   A) How many weeks should the grower wait before harvesting the apples in order to maximize the sales revenue per tree? (Round your answer to the nearest tenth of a week.)   Answer: __________ (rounded to the nearest tenth)   B) Use your answer in part A to find the actual maximum revenue that can be expected. (Round your answer to the nearest dollar.)   Answer: ____________ dollars (rounded to the nearest dollar)

Step 3: Assess the Evidence (Calculate the test statistic for the observed sample mean. Sketch the T-distribution and identify the position of the observed test statistic. Shade the area that represents the P-value. Use the test statistic to find the P-value.)

An analyst in the real estate business is interested in the relationship between the cost of the monthly rent of an apartment and the size of an apartment, in big cities.  She gathers data for apartment buildings in 12 cities in 12 different states.  In each city, she gets the numbers for at least 5 different buildings and at least 40 apartments in each building.  She reaches the following conclusion: the rental cost of a 2-bedroom apartment is 50% more than the rental cost of a 1-bedroom apartment, and the rental cost of a 3-bedroom apartment is 50% more than the rental cost of a 2-bedroom apartment. Based on the paragraph, what is the minimum number of apartments she collected data on? Do you think her sample was large enough to be statistically valid? Based on the paragraph, are there any apartments or apartment buildings that she would have excluded from her study? Do you see any bias in how she selected apartments for her study? Based on the paragraph, is there a positive…

5 Imagine that a company sells portable walkie-talkie radios to construction crews. The batteries for these radios last for an average of 55 hours. The purchasing manager for this company receives a brochure in the mail that advertises a new brand of batteries. This new brand of batteries is cheaper than the brand that the company currently uses. However, the purchasing manager is concerned that the cheaper batteries may have a shorter average battery life than the current brand. (Note: The number of hours that batteries last is called their battery life.) The pricing manager installs 40 randomly selected batteries of the cheaper brand in the company's walkie-talkie radios. He finds that the mean battery life for the sample is 52 hours, with a standard deviation of 10 hours. He wants to perform a statistical test at the 1% level of significance to determine whether the cheaper batteries have a shorter average battery life span than the average life span of the brand of batteries the…

1. Referring to Scenario 13-11, which of the following is the correct interpretation for the slope coefficient?a) For each decrease of 1 thousand downloads, the expected revenue is estimated to increase by $ 3.7297 thousands.b) For each increase of 1 thousand downloads, the expected revenue is estimated to increase by $ 3.7297 thousands.c) For each decrease of 1 thousand dollars in expected revenue, the expected number of downloads is estimated to increase by 3.7297 thousands.d) For each increase of 1 thousand dollars in expected revenue, the expected number of downloads is estimated to increase by 3.7297 thousands.