Probability Fundamentals
Key Takeaways
- Probability ranges from 0 (impossible) to 1 (certain); the sum of all probabilities in a sample space equals 1.
- For mutually exclusive events: P(A or B) = P(A) + P(B).
- For independent events: P(A and B) = P(A) × P(B).
- Conditional probability P(A|B) = P(A and B) / P(B) is tested frequently.
- Bayes' theorem relates conditional probabilities: P(A|B) = P(B|A)·P(A) / P(B).
- Permutations (order matters) and combinations (order does not matter) count possible arrangements.
Probability Fundamentals
FE Exam Weight: Probability and Statistics accounts for 6-9 questions (~7% of the exam). These questions are often straightforward if you know the formulas.
Basic Probability Rules
Sample Space (S): The set of all possible outcomes.
Event (A): A subset of the sample space.
Axioms of Probability
- 0 ≤ P(A) ≤ 1 for any event A
- P(S) = 1 (something must happen)
- P(A') = 1 - P(A) where A' is the complement of A
Addition Rule
- General: P(A or B) = P(A) + P(B) - P(A and B)
- Mutually exclusive events (A ∩ B = ∅): P(A or B) = P(A) + P(B)
Multiplication Rule
- General: P(A and B) = P(A) · P(B|A)
- Independent events: P(A and B) = P(A) · P(B)
Conditional Probability
The probability of A given that B has occurred:
Example: A box contains 3 red and 7 blue balls. Two balls are drawn without replacement. What is the probability the second ball is red given the first was blue?
P(R₂|B₁) = 3/9 = 1/3 (3 red remain out of 9 total)
Bayes' Theorem
Extended form (with multiple hypotheses):
Engineering Application: A manufacturing process produces 2% defective parts. A test detects defectives with 95% accuracy and falsely identifies good parts as defective 3% of the time. If a part tests positive, what is the probability it is actually defective?
P(D) = 0.02, P(+|D) = 0.95, P(+|D') = 0.03
P(D|+) = (0.95 × 0.02) / (0.95 × 0.02 + 0.03 × 0.98) = 0.019 / 0.0484 = 0.393
Even with a positive test, the part is only ~39% likely to be defective because defectives are rare.
Counting Methods
Permutations (Order Matters)
Example: How many ways can 3 people be selected for President, VP, and Treasurer from 10 candidates? P(10, 3) = 10!/(10-3)! = 10 × 9 × 8 = 720
Combinations (Order Does Not Matter)
Example: How many ways can a committee of 3 be chosen from 10 people? C(10, 3) = 10!/(3!·7!) = 120
Events A and B are independent with P(A) = 0.3 and P(B) = 0.4. What is P(A and B)?
A bag has 5 red and 3 blue marbles. Two marbles are drawn without replacement. What is the probability both are red?