Overview
Study Topics --
1. Issues from Week 1, including the Introduction topics -- such as variation, chance, and how data affects business people's thinking and why business people use data analytics.
2. Key terms, notations, and formulas (to understand how they work, for example, since the formula for the mean has X in it, the mean is affected by outliers while the median is not).
3. Benefits and burdens of sampling, and all the issues therein, along with the types of samples.
4. Types of data and levels of data (measurements) .
5. Properties and characteristics of the binomial, geometric, hypergeometric, and normal distributions, recognizing when and when not to use them.