We started by reviewing last week's material. We then defined an "event" and discussed the method of calculating the probability of an event.
Next, complement, union and intersection of events was discussed and used in an example of newspaper readership. The formula for the probability of a union of two events was presented and mutually exclusive events were also defined.
Discussion continued with the definition of conditional probability which was used in the analysis of the problem involving hiring of management trainees.
Independent events were introduced and related to the results in the trainees example. This completed Chapter 3.
We started Chapter 4 by discussing random variables which associate numerical values with the outcomes of an experiment. Several examples were discussed that involved discrete and continuous random variables. As the last example we looked at a tire molding problem where there were four outcomes but three values for the random variable (defectives in the pair).
In this class the students also provided their comments on the informal course evaluation. I will say more about this in a different post.
