Sum of large number of random variables O a. Gives Gaussian Probability density function if at least one random variable is Gaussian O b. Gives probability density function similar to the probability density function of all random variables O c. Gives Gaussian Cumulative function if all random variables are Gaussian O d. Gives Gaussian probability density function whatever the probability density functions of all random variables are.Match the description with these business process terms. 1. A subset of the information from the data ware- A. Business intelligence house to serve a specific purpose. B. Data mart 2. A computer-based information system that facili- C. Data warehouse tates business decision-making activities. D. Decision support systems 3. A collection of information gathered from an (DSSs) assortment of external and operational (Le, inter- nal) databases to facilitate reporting for decision making and business analysis. 4. A computer-based technique for accumulating and analyzing data from databases and data ware- houses to support managerial decision making.Determine whether the variable is qualitative or quantitative. Driver's license class Is the variable qualitative or quantitative? O A. The variable is qualitative because it is an attribute characteristic. O B. The variable is qualitative because it is a numerical measure. O C. The variable is quantitative because it is an attribute characteristic. O D. The variable is quantitative because it is a numerical measure.This Question: 2 pts Determine whether the underlined number is a statistic or a parameter. In a study of all 3380 employees at a college, it is found that 35% own a computer. Choose the correct statement below. O Parameter because the value is a numerical measurement describing a characteristic O Parameter because the value is a numerical measurement describing a characteristic Statistic because the value is a numerical measurement describing a characteristic of O Statistic because the value is a numerical measurement describing a characteristic o