Test 2 Flashcards
Probability
A number between 0 and 1 where:
- a number close to 0 means not likely
- a number close to 1 means likely
Subjective Probability
An expert opinion => P(T) = 0.5
Classical Probability
Uses sample space, assumes equally likely outcomes, based on reasoning.
- What can happen?
- What are the possible outcomes?
Empirical Probability
Repeat an experiment a large number of times and observe what happens
- If H -> P(T) = 0
- If T -> P(T) = 1
Trial
A single run of the random phenomenon (experiment)
Sample Space (S)
The set of all possible outcomes
Event
An outcome or set of outcomes of a random phenomenon
- Subset of the sample space
Random Variable
A variable whose value is a numerical outcome of a random phenomenon
- can be discrete or continuous
Probability Model
Mathematical description of a random phenomenon consisting of:
- A sample space
- A way of assigning probabilities to the outcomes/events
Density Curve
A curve that:
- Is always on or above the horizontal axis
- Has an area of exactly 1 underneath it
Addition Rule for Disjoint Events
If A and B are 2 disjoint events:
- P(A or B) = P(A) + P(B)
General Addition Rule
For any 2 events, A and B:
- P(A or B) = P(A) + P(B) - P(A & B)
Conditional Probability Rule
If A and B are any 2 events, the conditional probability of B, given A is:
- P(B/A) = P(A&B)/P(A)
Normal Distribution
Symmetric, single-peaked, bell-shaped curves determined by a mean (center) and standard deviation (spread)
Normal Quantile Plot
A graph that plots observed data vs the expected z-score of the data value if the distribution of the random variable is normal