6. Probability distributions

Question 1

What is a random Variable?

Answer 1

A variable whos value depends on the outcome of a random event.

Question 2

What is a sample space

Answer 2

The range of values for the random value

Question 3

What is a discrete variable?

Answer 3

A variable is discrete if it can only take a certain numerical value?

Question 4

what are the ways to illustrate probability distributions for discrete data?

Answer 4

A probability mass functions
A table
A graph

Question 5

What is a probability distribution?

Answer 5

probability distribution describes the probability of any outcome in the sample space.

Question 6

What is discrete uniform distribution?

Answer 6

This is where all the probabilities outcomes are the same.

Question 7

When can you model X with a binomial distribution B(n,p) ?

Answer 7

if :
- There are a fixed number of trials, n
- There are two possible outcomes (success and failure).
- There is a fixed probability of success, p
The trials are independent with each other