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Question 2-28

Compute the probability of loaded die given a 3 was rolled as shown in the example in

section 2.3, this time using the general form of Bayes Theorem from Equation 2-5.

Answer

Question 2-4

Describe the addition law for events that are mutually exclusive and events that are not.

Answer

Question 2-6

Bayes theorem is an extension of the original probability. Explain.

Answer

Question 2-8

What is a random variable? What are the various types of random variables?

Answer

Question 2-10

What is the expected value, and what does it measure? How is it computed for a discrete

probability distribution?

Answer

Question 2-20

a) David Mashley teaches two undergraduate statistics courses at Kansas College. The class

for statistics 201 consists of 7 sophomores and 3 juniors. The more advanced course,

statistics 301, has 2 sophomores and 8 juniors enrolled. As an example of a business

sampling technique, Professor Mashley randomly selects, from the stacks of Statistics

201 registration cards, the class card of one student and then places the card back in the

stack. If that student was a Sophomore, Mashley draws another card from the Statistics

201 stack; if not, he randomly draws a card from the statistics 301 group. Are these two

draws independent events? What is the probability of One sophomores name and one

juniors name on the two draws, regardless of order drawn?

Answer

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Explanation & Answer:

6 Questions

Tags:

statistics

Statistical analysis

simple probability

Bayes Theorem from Equation

addition law

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