Random Variables, Joint Distribution and Collecting Data Flashcards
What is a random variable
is real-valued function whose domain is the sample space. Where probability is the set of all subsets of the sample space, and the random variable is P(XeA)=P{S:X(S) e A}
The probability induces the distribution of x
Discrete random variable is
One that can take on only a finite or countably infinite number of values
Continuous random varialbe
A random variable that can take on any value in some interval, bounded or unbounded of the real line. A natural generalization (of different flavor)
Binomial Random variable
How many successes in finite number of trials.
- is made up of independent trials (each flip of a coin)
- each trial can be classified as success or failure
- Fixed number of trials
- Probability of success (getting heads) is constant
Hypergeometric random variable
Describes the number of successes in n trials where you’re sampling without replacement from a sample of size N whose initial probability of success was K/N
fx(x) =
(k
x)
Point mass
each point of probability on a graph