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Unformatted text preview: 1. What is a continuous probability distribution (use the information from Applied Statistics in Business and Economics , Chapters 7) as compared with a discrete probability distribution which is discussed in chapter 6 (same text)? According to our text a discrete random variables probability distribution assigns a probability to each value of a discrete random variable and own probability. Continuous probability distribution of the values are not discrete, but they represent intervals on smooth curves. 2. How does the Empirical Rule apply to continuous discrete probability distributions (Chapter 6)? Does the Empirical Rule always apply to discrete probability distributions? Why or why not? Does the Empirical Rule apply to continuous probability distributions (Chapter 7)? If so, how and when? Yes, the empirical rule applies only when the distributions are normal distributions. 3. Use Chapter 7 ( Applied Statistics in Business and Economics ) to address the following 2 problems: o The mean starting salary for college graduates in the spring of 2004 was $36,280. The mean starting salary for college graduates in the spring of 2004 was $36,280....
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- Spring '10
- Probability distribution, $40, $45, Continuous probability distribution, $2.25, Bank of Florida