Equity Finance Essay

1496 Words Nov 9th, 2015 6 Pages
Chapter 2

Probability Concepts and Applications

Teaching Suggestions

Teaching Suggestion 2.1: Concept of Probabilities Ranging From 0 to 1.

People often misuse probabilities by such statements as, “I’m 110% sure we’re going to win the big game.” The two basic rules of probability should be stressed.

Teaching Suggestion 2.2: Where Do Probabilities Come From?

Students need to understand where probabilities come from. Sometimes they are subjective and based on personal experiences. Other times they are objectively based on logical observations such as the roll of a die. Often, probabilities are derived from historical data—if we can assume the future will be about the same as the past.

Teaching Suggestion 2.3:
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Table 2.4 has some useful examples of both discrete and continuous random variables.

Teaching Suggestion 2.7: Expected Value of a Probability Distribution.

A probability distribution is often described by its mean and variance. These important terms should be discussed with such practical examples as heights or weights of students. But students need to be reminded that even if most of the men in class (or the United States) have heights between 5 feet 6 inches and 6 feet 2 inches, there is still some small probability of outliers.

Teaching Suggestion 2.8: Bell-Shaped Curve.

Stress how important the normal distribution is to a large number of processes in our lives (for example, filling boxes of cereal with 32 ounces of cornflakes). Each normal distribution depends on the mean and standard deviation. Discuss Figures 2.8 and 2.9 to show how these relate to the shape and position of a normal distribution.

Teaching Suggestion 2.9: Three Symmetrical Areas Under the Normal Curve.

Figure 2.14 is very important, and students should be encouraged to truly comprehend the meanings of ±1, 2, and 3 standard deviation symmetrical areas. They should especially know that managers often speak of 95% and 99% confidence intervals, which roughly refer to ±2 and 3 standard deviation graphs. Clarify that 95% confidence is actually ±1.96 standard deviations, while ±3 standard

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