CLO #1 - Distinguish the concept, types, and the role of descriptive and inferential statistics; qualitative or quantitative; discrete or continuous; and the values associated with the practice of statistics.

CLO #2 - Given a managerial problem and accompanying data set, construct graphs (following principles of ethical data presentation), and calculate and interpret numerical summaries appropriate for the situation. Use the graphs and numerical summaries as aids in determining a course of action relative to the problem at hand.

CLO #3 - Given a managerial problem, utilize basic probability concepts and standard probability distributions; for example, binomial, normal, as is appropriate, to formulate a course of action that addresses the practical examples.

What makes a function of a discrete variable a candidate for a discrete random variable distribution? What about the counterpart of this candidacy in the case of a continuous variable?