Chapter 6 - Statistical Distributions Flashcards
1
Q
Define random variable:
A
A variable where the value is determined by a random event
2
Q
Define sample space (in this context):
A
The range of values a random variable can take
3
Q
Define discrete uniform distribution:
A
When all the outcome probabilities are the same
4
Q
What are the requirements for modelling as binomial distribution:
A
Set number of trials, two possible outcomes, fixed probability of success, and the trials are independent
5
Q
How to calculate the probability mass function for B(n,p):
A
P(X=x)=nCrp^r(1-p)^(n-r)
6
Q
Define cumulative probability function:
A
Returns the sum of all the probabilities up to and including the requested number
7
Q
What does a probability distribution do:
A
Show all the possible outcomes in a sample space
