P.S: This is a Business Analytics class

1. Classify the following as discrete or continuous metric: (2 points) i. The number of automobile accidents per year in Virginia. ii. The length of time to play 18 holes of golf. iii. The amount of milk produced yearly by a particular cow. iv. The number of eggs laid each month by a hen. v. The number of building permits issued each month in a certain city. vi. The weight of grain produced per acre. 2. A survey handed out to individuals at a major shopping mall in a small Florida city in July asked the following: (6 points) i. gender ii. age iii. ethnicity iv. length of residency v. overall satisfaction with city services (using a scale of 1-5, going from poor to excellent) vi. quality of schools (using a scale of 1-5, going from poor to excellent) What types of data (categorical, ordinal, interval, or ratio) would each of the survey items represent and why? 3. What is the significance of Data Mining in business analytics. (1 point) 4. Differentiate between Descriptive, Predictive and Prescriptive Analytics. (3 points) 5. Summarize the evolution of business analytics and explain the concepts of business intelligence, modelling and optimization and statistics as the base of business analytics. (3 points)