Probability Flashcards
What are the two fundamental ways we can determine probability?
- theoretical (aka classical)
2. emperical (aka observational)
When are classical methods of probability used?
games of chance
Why is theoretical method also called classical
because their values are determined by the game itself (the nature of the situation… 6 sided dice)
What is probability?
a way of quantifying uncertainty
What do empirical methods use to determine probability?
series of random experiments/trials to produce outcomes that cannot b predicted in advance
When a simulation is run or a random sample is used and the results recorded, is theoritical or empirical probability in play?
empirical
What is the relative frequency of probability
using empiracal probability (simulations, etc) to prove the theoretical probability
what is the formula for relative frequency?
number of times A occurred / total number of repetitions
What is the Law of Large Numbers?
the relative frequency of an event does approach the theoretical probability of that event as the number of repetitions increases
What is a sample space?
A list of all possible outcomes the random experiment can produce
What are the 11 basic probability rules?
- For any event A, 0 ≤ P(A) ≤ 1
- P(S) = 1
- Compliment rule: P(not A) = 1 - P(A)
or
P(A) = a - P(not A) - If A and B are disjoint events, then P(A or B) = P(A) + P(B)
- If A and B are independent, then P(A and B) = P(A) * P(B)
- General Addition Rule: For any 2 events A and B, P(A or B) = (PA) + P(B) - P(A and B)
or if disjoint:
P(A or B) = P(A) + P(B) - Multiplication Rule for Independent Events: P(A and B) = P(A) * P(B)
What does Probability rules 1: 1. For any event A, 0 ≤ P(A) ≤ 1 mean?
that the probability of any event can range between 0 and 1
What does Rule 2: P(S) = 1 mean?
the sum of all the probabilities of all possible outcomes is 1
What does Rule 3: P(not A) = 1 - P(A) mean?
probability that an event does not occur is 1 minus the probability that it does occur
What is disjoint or mutually exclusive?
when two events cannot occur at the same time