Binomial Distribution - Binomial CDF, Cumulative Distribution Function, Full Lesson. with Examples

For the binomial distribution, the binomial cumulative distribution functions, binomial pdf, allows us to calculate the probability that the discrete random variable X be less than or equal to a given number of successes. I other words it lets us calculate the probability that the number of successes be less than or equal to a given value r.

Here we learn about the theory, the formula for the function and see how it can be used by working through a typical example with 4 must know questions; showing how to find:

- the probability that X be less than or equal to a given value r
- the probability that X be less than a given value r
- the probability that X be lie between two given values m and n included
- the probability that X be greater than or equal to a given value r

******** TIME STAMPS ********

00:00 : Introduction
00:32 : Theory Behind the Binomial CDF
03:37 : Introduction to Example
06:03 : Question 1 Solution
09:34 : Binomial CDF on Calculator - CASIO, TI 84, TI NSpire
11:12 : Question 2 Solution
12:38 : Question 3 Solution
15:15 : Question 4 Solution

[amandachu]

Thank you very much. You solved my problems!!

[Make_it-Simple]

these examples really helped me. Thank you

[circulopolar]

Where is the "Before video" where "we learned about" Binomial PDF? - Could you please provide the a link to the mentioned previous video? Thank you very much in advance

[Shiroyashasama]

where did 1 and 8 and 28 and 56 come from? im so lost