If you do well in this course, you will be able to:

1. Identify the different methods of data collection, summarization and presentations along with the advantages and disadvantages associated with each identified method.
2. Compute measures of central tendency including mean, median, and mode and geometric mean and dispersion including range, mean absolute deviation variance, standard deviation, and interquartile range for ungrouped and ungrouped data as appropriate.
3. Define terminologies relating to probability including experiment, outcome, events, independence, and exclusiveness upon which probability concepts and rules of probability are based.
4. Solve problems involving addition and multiplication rules for both mutually exclusive and non-exclusive events.
5. Demonstrate application of both discrete (Binomial and Poisson) and continuous (Normal and uniform) probability distributions in business and industrial settings.

Select the document for a complete listing of objectives.