Probability mass function
Think of the question “What are the chances that I get 5 out of 15?” The negative binomial distribution can answer this for us.
These conditions must be met in order to be a negative binomial distribution;
- The experiment is a sequence of trials.
- The trials results can be characterized as successes or failures.
- The probability remains constant from one trial to the next. P( S on i ) = p
- The experiment continues until the desired number r successes have been observed.
The parameters needed to compute the probabilities mass function
- x = number of failures we expect. N – r = x. Where N is the number of trials in the experiment.
- r = the probability of this number of success is what we want to know.
- p = probability for success.
Lets use a simple lottery example. I’m not going to use any tricky wording like you’re certain to find in texts and class.
Let’s say we have a lottery with a chance to win is .04
We want to know what are the chances we will win 3 times if we played 12 tickets.
Identify Our parameters : x = 12 – 3, r = 3, p = .04
Use our parameters as the function arguments and solve.