1. Example: An automobile manufacturer provides vehicles equipped with selected options. Each vehicle is ordered; - with or without an automatic transmission, - with or without air conditioning - with one of three choices of a stereo system - with one of four exterior colors

2. BONUS: Consider the automobile manufacturer includes interior color as another option. There are four choices of interior color; red, black, blue or brown. However; - with a red exterior, only a black or red interior can be chosen - with a white exterior, any interior color can be chosen, - with a blue exterior, only a black, red or blue interior can be chosen - with a brown exterior, only a brown interior can be chosen. Q: Use tree diagram to determine # sample points

3. Example:
Consider a recent study conducted by the personnel manager of a major computer software company.
The study showed that 30% of employees who left the firm within two years did so primarily because they were dissatisfied with their salary, 20% left because they were dissatisfied with their work assignments, 12% of the former employees indicated dissatisfaction with both their salary and their work assignments.
Question:
What is the probability that an employee who leaves within two years does so because of dissatisfaction with salary, dissatisfaction with work assignment or both?

4. Table: Promotion status of Police Officers over the past two years.
The police force consists of 1200 officers of which 960 are men and 240 are women. Over the past two years, 324 officers on the police force received promotions.
Table: Promotion status of Police Officers over the past two years.
Let;
M : Event an officer is a man
W : Event an officer is a woman
A : Event an officer is promoted
Ac : Event an officer is NOT promoted
Q: Find the joint and marginal probabilities.
What is the probability that an officer is promoted given that the officer is a man?
Men
Women
Total
Promoted
288 36
324
Not Promoted
672
204
876
960
240
1200

5. Assigning Probabilities
Basic Requirements for Assigning Probabilities
2. The sum of the probabilities for all experimental
outcomes must equal 1.
P(E1) + P(E2) P(En) = 1
where:
n is the number of experimental outcomes

6. Multiplication Law
The multiplication law provides a way to compute the
probability of the intersection of two events.
The law is written as:
P(A B) = P(B)P(A|B)

7. Mutual Exclusiveness and Independence
Do not confuse the notion of mutually exclusive
events with that of independent events.
Two events with nonzero probabilities cannot be
both mutually exclusive and independent.
If one mutually exclusive event is known to occur,
the other cannot occur.; thus, the probability of the
other event occurring is reduced to zero (and they
are therefore dependent).
Two events that are not mutually exclusive, might
or might not be independent.

8. The Sales of Automobiles for 300 days
0 automobile sold
54 days
1 automobile sold
117 days
2 automobile sold
72 days
3 automobile sold
42 days
4 automobile sold
12 days
5 automobile sold
3 days
Total:
300 days

9. A game is played using one die
A game is played using one die. If the die is rolled and shows 1, the player wins $5. If the die shows any number other than 1, the player wins nothing. If there is a charge of $1 to play the game, what is the game’s expected value? What does this value mean?

10. A construction company is planning to bid on a building contract
A construction company is planning to bid on a building contract. The bid costs the company $1500. The probability that the bid is accepted is 1/5 . If the bid is accepted, the company will make $40,000 minus the cost of the bid. Find the expected value in this situation. Describe what this value means.

11. It is estimated that there are 27 deaths for every 10 million people who use airplanes. A company that sells flight insurance provides $100,000 in case of death in a plane crash. A policy can be purchased for $1. Calculate the expected value and thereby determine how much the insurance company can make over the long run for each policy that it sells.

12. A 25-year-old can purchase a one-year life insurance policy for $10,000 at a cost of $100. Past history indicates that the probability of a person dying at age 25 is Determine the company’s expected gain per policy. .

13. A store specializing in mountain bikes is to open in one of two malls
A store specializing in mountain bikes is to open in one of two malls. If the first mall is selected, the store anticipates a yearly profit of $300,000 if successful and a yearly loss of $100,000 otherwise. The probability of success is 1/2 . If the second mall is selected, it is estimated that the yearly profit will be $200,000 if successful; otherwise, the annual loss will be $60,000. The probability of success at the second mall is 3/4 . Which mall should be chosen in order to maximize the expected profit? .

14. An oil company is considering two sites on which to drill, described as follows:
Site A:
Profit if oil is found: $80 million
Loss if no oil is found: $10 million
Probability of finding oil: 0.2
Site B:
Profit if oil is found: $120 million
Loss if no oil is found: $18 million
Probability of finding oil: 0.1
Which site has the larger expected profit? By how much?

15. Example-1:
An insurance company sells a 10,000 TRL 1-year term insurance policy at an annual premium of 290 TRL. Based on many year’s information, the probability of death during the next year for a person of customer’s age, sex, health etc. is 0.001
Q: What is the expected gain (amount of money made by the company) for a policy of this type?

16. Example -2
Medical Research has shown that a certain chemotherapy is successful 70% of the time when used to treat the skin cancer.
Suppose 5 skin cancer patients are treated with chemotherapy
X: be the number of successful cures out of five.
The probability distribution Table for r.v. x is given as; x:
f(x):
A- Find µ=E(x) and Interpret the result
B- Find σ=St.dev “ “ “
C- Graph f(x). Locate µ=E(x) and interval µ±2σ on the graph. Use either Chebyshev’s or Empirical to Approximate the probability that x falls in this interval.
Compare the results with actual probability.

17. Example: 1
Test the following function to determine whether it is a probability function. If it is not, try to make it into a probability function
S(x) = (6 - |x – 7|) / 36 , for x = 2, 3, 4, 5, 6, 7, , 11, 12
a. List the distribution of probabilities and sketch a histogram.
b. Do you recognize S(x)? If so, identify it.

18. Example: 2
The College Board website provides much information for students, parents, and professionals with respect to the many aspects involved in Advanced Placement (AP) courses and exams. One particular annual report provides the percent of students who obtain each of the possible AP grades (1 through 5). The 2008 grade distribution for all subjects was as follows:
AP Grade Percent
a. ) Express this distribution as a discrete probability distribution.
b. ) Find the mean and standard deviation of the AP exam scores for 2008.

19. MATHEMATICAL EXPECTATION
To handle a liability suit, A lawyer has to decide whether to charge a straight fee of 2400 TL or a contingent fee of 9600 TL which she will get only if her client wins.
How does she feel about her client’s chances if she prefers the straight fee of 2400 TL?

20. Q:
A clothing manufacturer must decide whether to spend a considerable sum of money to build a new factory. The following table represent the information about the profits and deficits called Payoff Table:
New Factory BUILT
New Factory NOT Built
Good Sales Year
451,000
220,000
Poor Sales Year
- 110,000
22,000
If the clothing manufacturer feels that the probabilities for a good sales year or a poor sales year are, respectively, 0.40 and 0.60, would building the new factory maximize his expected profit?