c4cdd9d8db192c3a96dc1e46a8bcf2d1dc5a2e63 Rank Brand Value Change Revenue Advertising Industry 1 Apple 104.3 20 156.5 1100 Technology 2 Microsoft 56.7 4 77.8 2600 Technology 3 Coca-Cola 54.9 9 23.5 3342 Beverages 4 IBM 50.7 5 104.5 1339 Technology 5 Google 47.3 26 43.5 772 Technology 6 McDonald's 39.4 5 88.3 788 Restaurants 7 General Electric 34.2 2 132.1 Diversified 8 Intel 30.9 -4 53.3 2000 Technology 9 Samsung 29.5 53 181 4398 Technology 10 Louis Vuitton 28.4 16 9.4 4211 Luxury 11 BMW 27.9 6 77.6 Automotive 12 Cisco 27 3 48.6 218 Technology 13 Oracle 26.9 4 37.2 85 Technology 14 Toyota 25.6 17 186.6 3970 Automotive 15 AT&T 24.2 0 126.4 2910 Telecom 16 Mercedes-Benz 23.5 8 90.9 Automotive 17 Disney 23.1 21 22 2500 Leisure 18 Wal-Mart 21.7 7 299.5 2300 Retail 19 Budweiser 21.1 14 9.9 Alcohol 20 Honda 21.1 1 115.2 3048 Automotive 21 SAP 19.6 28 20.3 Technology 22 Verizon 19.3 0 115.8 2381 Telecom 23 Gillette 18.3 9 8 9300 Consumer Packaged Goods 24 NIKE 18.2 14 23.7 2745 Apparel 25 Pepsi 18.1 13 13.3 2200 Beverages 26 American Express 18 5 33.8 2890 Financial Services 27 Nescafe 17.7 2 10.7 Beverages 28 L'Oral 16.9 16 10.6 8707 Consumer Packaged Goods 29 Marlboro 16.6 9 23.6 483 Tobacco 30 H&M 16.1 12 18.3 Retail 31 Hewlett-Packard 15.3 -16 119.9 1000 Technology 32 HSBC 15.2 0 104.9 Financial Services 33 Amazon.Com 14.7 44 60.6 2000 Technology 34 Visa 14.2 12 10.4 Financial Services 35 Siemens 13.7 1 100.6 Diversified 36 Facebook 13.7 4 5.1 67 Technology 37 ESPN 12.9 12 10.4 2500 Media 38 Gucci 12.1 1 4.7 Luxury 39 Nestle 11.8 18 11.3 Consumer Packaged Goods 40 Frito-Lay 11.6 6 11.1 2200 Consumer Packaged Goods 41 IKEA 11.5 5 35.5 Retail 42 Danone 11.1 13 13.3 Consumer Packaged Goods 43 Audi 10.9 1 55.2 Automotive 44 Ford 10.6 34 130 4000 Automotive 45 Coach 10.5 1 5.1 103 Luxury 46 Fox 10.2 20 11.7 2200 Media 47 UPS 10.2 13 54.1 Transportation 48 Home Depot 10.1 12 74.8 831 Retail 49 Accenture 9.7 10 30.4 Business Services 50 Thomson Reuters 9.6 -10 7.2 Media 51 Pampers 9.6 12 10.4 9300 Consumer Packaged Goods 52 Zara 9.4 11 13.5 Retail Page 1 c4cdd9d8db192c3a96dc1e46a8bcf2d1dc5a2e63 53 Herms 54 J.P. Morgan 55 Kraft 56 Wells Fargo 57 Canon 58 Kellogg's 59 Ebay 60 Caterpillar 61 Adidas 62 Volkswagen 63 Ninendo 64 Colgate 65 Bank of America 66 Shell 67 Mastercard 68 Rolex 69 Red Bull 70 Prada 71 Philips 72 Nokia 73 Lexus 74 Chanel 75 Heineken 76 Starbucks 77 Allianz 78 Nissan 79 Goldman Sachs 80 Sony 81 Hyundai 82 Exxon Mobil 83 John Deere 84 Dell 85 Boeing 86 Ralph Lauren 87 Chase 88 Lancome 89 Santander 90 Ericsson 91 FedEx 92 Subway 93 ING 94 Credit Suisse 95 Porsche 96 Heinz 97 AXA 98 MTV 99 Burberry 100 Estee Lauder 9.3 9.1 9.1 9 8.7 8.7 8.5 8.5 8.4 8.1 8 7.9 7.7 7.6 7.4 7.4 7.2 7.1 7.1 7 7 7 7 6.9 6.9 6.9 6.8 6.6 6.5 6.4 6.4 6.4 6.4 6.4 6.3 6.2 6 5.9 5.8 5.7 5.7 5.7 5.7 5.6 5.6 5.6 5.5 5.4 20 -30 -10 -14 -11 -6 14 21 23 16 -39 7 -9 5 8 14 16 23 14 -55 1 13 7 9 5 17 -15 -20 21 18 14 -23 12 28 -9 13 -2 -35 10 17 8 -9 16 2 10 -7 13 15 4.5 43.1 7.1 91.2 41.8 7.1 6.3 65.9 14.5 145.7 7.6 3.9 83.3 467.2 7.4 4.5 6.3 3.4 31.9 38.8 18.7 4.4 6 13 130.8 108.5 41.7 69.5 49.7 420.7 36.2 56.9 81.7 6.4 56.8 4 57.3 34.6 44.3 18.1 118.7 42 17.8 4.4 149.3 3.1 3 4.4 Page 2 234 Luxury Financial Services 640 Consumer Packaged Goods 578 Financial Services 998 Technology 1120 Consumer Packaged Goods 1100 Technology Heavy Equipment Apparel Automotive Technology 1792 Consumer Packaged Goods 1873 Financial Services Oil & Gas 775 Financial Services Luxury Beverages 193 Luxury 1144 Diversified Technology 3970 Automotive Luxury Alcohol Restaurants Financial Services 2749 Automotive Financial Services 4260 Technology 1947 Automotive Oil & Gas 177 Heavy Equipment 833 Technology Aerospace 217 Apparel Financial Services 8707 Consumer Packaged Goods 855 Financial Services Technology 424 Transportation Restaurants 722 Financial Services Financial Services Automotive 314 Consumer Packaged Goods Financial Services 1205 Media Luxury 2798 Consumer Packaged Goods Chapter 1 - Examining Distributions Homework #1 Your submission should be a hardcopy report containing the answers to all questions presented in the same order they appear in the assignment description. Your answers must be clear, concise and supported by attached output from R (include code, outputs and plots). The following questions refer to data on the Most Valuable Brands in the US, the dataset is provided on Blackboard in csv format (Brands.csv). The data is sourced from a study undertaken by Forbes magazine, (forbes.com/powerful-brands). 1. What are the cases in this dataset and how many are there? Identify each column in the dataset as a label, a quantitative variable or a categorical variable. 2. Create a bar graph and a pie chart that shows the breakdown of valuable brands by industry. Discuss what can be seen by looking at these charts. 3. Analyze the variable Value by: - constructing a stemplot constructing a histogram calculating mean, median and standard deviation constructing a boxplot constructing a normal quantile plot Write a couple of paragraphs discussing what each of these plots and numerical measures tells you about brand Value. In your answer make sure you: discuss the shape of the distribution (is it approximately Normal, if not what shape is it), identify and explain any outliers or unusual values. 4. Repeat what you did in Q.3 for the variable Revenue, include the same types of plots and numerical measures as well as a couple of paragraphs of discussion. 5. Repeat what you did in Q.3 for the variable Advertising, include the same types of plots and numerical measures as well as a couple of paragraphs of discussion. BUS309 Statistics for Business and Economics I Fall 2017 Dr. James P. Minas