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Learning Activity Problems Problem 1.0.1 Branch: An analyst at a local bank wonders if the age distribution of customers coming in for service at his

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Learning Activity Problems Problem 1.0.1 Branch: An analyst at a local bank wonders if the age distribution of customers coming in for service at his branch in town is the same as at the branch located near the mall. He selects 100 Here are the data: transactions at random from each branch and researches the age information for the associated customer. Age Younger than 30 30-55 56 or Older Total In-Town Branch 20 40 40 100 Mall Branch 30 50 20 100 Total 50 90 60 200 Problem 1.0.2 Industry sector and outsourcing. Many companies have chosen to outsource segments of their business to external providers in order to cut costs and improve quality and/or efficiencies. Common business segments that are outsourced include information technology (IT) and human resources (HR). The data below show the types of outsourcing decisions made (no outsourcing, IT only, HR only, both IT and HR) by a sample of companies from various industry sectors: HR Both IT No Outsourcing Only Only and HR Health Care 810 6429 4725 1127 Industry Financial 263 1598 549 117 Sector Industrial 412 99 Goods 1031 1269 Consumer Goods 66 341 305 197 Do these data highlight significant differences in outsourcing by industry sector? Problem 1.0.3 A market researcher working for the credit card company wants to know if the distribution of applications by card is the same for the past three mailings. She takes a random sample of 200 from each mailing and counts the number applying for Silver, Gold, and Platinum. The data follow: Type of Card Silver Gold Platinum Total Mailing 1 120 50 30 200 Mailing 2 115 50 35 200 Mailing 3 105 55 10 200 Total 340 155 105 600 Problem 1.0.4 A European manufacturer of automobiles claims that its cars are preferred by the younger generation and would like to target university students in its next ad campaign. Suppose we test the manufacturer's claim with our own survey. A random survey of autos parked in the student lot and the staff lot at a large university classified the brands by country of origin, as seen in the following table. Are there differences in the national origins of cars driven by students and staff

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