Chapter 6: Probability

Key Vocabulary:

§         trial

§         random

§         probability

§         independence

§         random phenomenon

§         sample space

§         S = {H, T}

§         tree diagram

§         replacement

§         event

§         P(A)

§         Complement AC

§         disjoint

§         Venn Diagram

§         union (or)

§         intersection (and)

§         joint event

§         joint probability

§         conditional probability

6.1    Randomness (pp.310-317)

1.      In statistics, what is meant by the term random?

2.      In statistics, what is meant by probability?

3.      What is probability theory?

4.      In statistics, what is meant by an independent trial?

6.2    Probability Models (pp.317-340)

1.      In statistics, what is a sample space?

2.      In statistics, what is an event?

3.      Explain why the probability of any event is a number between 0 and 1.

4.      What is the sum of the probabilities of all possible outcomes?

5.      Describe the probability that an event does not occur?

6.      What is meant by the complement of an event?

7.      When are two events considered disjoint?

8.      What is the probability of two disjoint events?

9.      Explain why the probability of getting heads when flipping a coin is 50%.

10.  What is the Multiplication Rule for independent events?

11.  Can disjoint events be independent?

12.  If two events A and B are independent, what must be true about Ac and Bc?

1.      What is meant by the union of two or more events?  Draw a diagram.

2.      State the addition rule for disjoint events.

3.      State the general addition rule for unions of two events.

4.      Explain the difference between the rules in #2 and #3.

5.      What is meant by joint probability?

6.      What is meant by conditional probability?

7.      State the general multiplication rule.

8.      How is the general multiplication rule different than the multiplication rule for independent events?

9.      State the formula for finding conditional probability.

10.  What is meant by the intersection of two or more events?  Draw a diagram.

11.  Explain the difference between the union and the intersection of two or more events.

12.  State the formula used to determine if two events are independent.