Quantitative Reasoning Probability and Statistics Flashcards
___ = Number of desired outcomes/Number of possible outcomes
probability
So to find a probability for a single ___:
- Figure out how many outcomes are possible overall
- Figure out how many of the possible outcomes have the characteristic you’re looking for
- Plug these numbers into the probability formula
event
___ are those events for which the occurrence of one event eliminates the possibility of the occurrence of the other event (in other words, where the two events exclude each other). To find the probability that one or another of two mutually exclusive events will occur, you add the probabilities of the two events
mutually exclusive events
Say that the ___ that the machine fills the box with all pennies is (1/2) and the probability that the machine fills the box with all dimes is (1/3). To calculate the probability that one or the other of these two events occurs, add their respective probabilities:
(1/2) + (1/3) = (5/6)
So the probability that the box contains all pennies or all dimes is (5/6)
probability
There are 4 blue disks and 12 green disks. A total of 16.
There’s a (4/16) chance of getting a blue disk first if two are selected. Then a (12/15) chance of getting a green disk if two are selected because 16- 1 = 15, is the new total.
The ___ that the first disk selected is blue and the second is green is (1/4)x(12/15) = (1/5)
probability
In the case of ___ A and B, the probability that events A and B both occur is equal to the probability that event A occurs multiplied by the probability that event B occurs
independent events
P(E) means the ___ that event E occurs
P(A or B) = P(A) + P(B) - P(A and B)
probability
To find the probability of event A and event B, find the probability that event A occurs and the ___ that B occurs given that event A occurs, then multiply the probability that event A occurs by the conditional probability that event B occurs given that Event A occurs (The same rule applies if you’re trying to figure out A and B and C
conditional probability