Test 2 Flashcards
Probability
Measure of the likelihood that an event will occur
Assigned on a scale of 1-0
Random experiment
A process that generates well defined outcomes. Determined by chance
Sample space
The set of all experimental outcomes
Counting rule for multiple step experiment
If an experiment can be described as a sequence of k steps
Counting rule for combinations
Allows us to count the number of experimental outcomes when the experiment involves selecting n objects from a set of N objects
Counting for permutations
When n objects are selected from N objects where the order of selection matters
Assigning probabilities
Probability assigned must be between 0-1
The duke of the probabilities must be 1
Complement
P(A)=1-P(Ac)
Mutually exclusive
If they have no sample points in common always equals 0
Conditional probability
When the probability of an event is influenced by wether s related event already occurred
A|B
Independent events if
P|B = p(a)
Discrete probability distribution
A random variable that might assume a finite number of values Has to be whole numbers or pass or fail
Binomial probability distribution
- N identical trials
- Two outcomes possible on each trial
- Probability of success doesn’t change from trial to trial
- Trials are independent