Discuss the following:
Q1. What characterizes a regular definition (dictionary) and an operational definition?
Q2. What is the purpose of sampling?
Q3. In distributions of populations, please consider Chebyshev's rule and the Empirical Rule. This takes some thinking.
a) When (what kind of a situation) would you use each in business? Why are they important? How are they calculated?
Q4. However we need to look closer at "causal research". Now concerning causal research let us look deeper: What must we actually show (necessary and sufficient conditions) if we are to prove cause and effect?
Q5. An important practical consideration when sampling is the sample size. So, what determines sample size? What influences our decisions?