1. The sum of the probabilities can give one and sometimes go from one ___ 2. All probability is between zero and 1 __ 3. In th to the total number of deviations you find __ 4. In an inconsistent event all odds must be one __ 5. In Classical Probability the sample space is always known. __ 6. In Binomial when n =30, the Pr can give greater than one. __ 7. All probability is in Pr 1. __ 8. In Binomial distribution the Pr (0) is part of the probabilities. __ 9. In Poison Distribution, N is known and the average of N is used __ 10. Incompatible events are mutually exclusive. __ 11. The [Pr (Oc) + Pr (No Oc)] can give greater than one, sometimes. __ 12. Incompatible events can occur in classical probability ____13. The independent variable is manipulated by the researcher. ____14. In Poison, with lambda = 20, then Pr (X >1) = 1 - [Pr (0, 1)] ____fifteen. In the Binomial distribution, with n=10, the Pr (r > 1) = 1 -[Pr (0, 1)] ____16. The Pr (Oc) + Pr (No Oc) is always equal to 1. ____17. In the Binomial Distribution r can be greater than n. ____18. In Binomial Distribution, with n =25, the sum of all Pr = 1 ____19. In the Poison Distribution, with lambda = 30, the Pr (X = 31) is > 1 ____twenty. Let a and b be independent events, Pr (No Oc) = 1 -[Pr(a) Pr (b)]. ____twenty-one. Let A and B, Dependent Events, Pr(A) Pr (B/A) = Pr(B) Pr (A/B) ___ 22. The Pr (Oc) can give one. __ 23. If r > 1 = 1 then Pr (0) = 0 __ 24. Every probability is a proper fraction __ 25. The Venn Diagram can determine the sample space normal distribution the probability is in agreement

A. Binomial: (n = 6, p = .3) Find (Use these data in Prob. 1 - 3)

1) Pr(r < 4); 2) Pr (r 4) 3) Pr (r = 3)

4) Team A has a 0.7 probability of winning when playing. If A plays 4 games, find the Pr (A) that wins:

2 matches. (This is the same as r = 2)

b) 2 or less games

Poisson: ( = 5) Find: (Use these data in Prob. 5 - 8)

5) Pr(X 3); 6) Pr (X 4) 7) Pr (X > 2) 8) Pr (X =2)

C) Normal; ( = 6; = 2) Find: (Use these data in Prob. 9 through 14)

9) Pr (4.5 X 8) 10) Pr (X = 3) 11) Pr (X 6)

12) Pr(5 X 7); 13) Pr (X = 8) 14) Pr (X 12)

D. Probabilities: Find

Pr (A) = .35

Pr (B)= .6 15) Pr (A/B)

Pr (C)= .2 16) Pr (A y C)

Pr (D)= .4 17) Pr (C y B)

Pr (E)= .75 18) Pr (D/C)

Pr (B/A)= .15 19) Pr (D y E)

Pr (C/D)= .1) 20) Pr (A y D)