The Binomial Distribution
It's a discrete probability distribution commonly used to calculate the probability of repeated similar events, each with a success rate of p.
Suppose n trials are performed and we are interested in calculating the probability of occurrence of k successes.
The formula used is:
![P(k,n)=\binom{n}{k}p^kq^(n-k)](https://img.qammunity.org/2023/formulas/mathematics/college/8dcdhx66042wwommltb0ndzfst6ai6l0rw.png)
Where q = 1 - p
The chance for a seed to grow into a plant is p = 0.90. This means q = 1 - 0.90 = 0.10.
If n = 9 seeds are planted, it's required to calculate the probability that exactly 4 don't grow. If 4 seeds don't grow, then k = 5 will grow.
Applying the formula:
![P(5,9)=\binom{9}{5}0.90^50.10^(9-5)](https://img.qammunity.org/2023/formulas/mathematics/college/zf5jaqbpmmgkfox5yz7znrfx5c0z2htvfj.png)
Calculate the combinatorial number:
![\binom{9}{5}=\frac{9!}{5!\text{ }4!}=(9\cdot8\cdot7\cdot6\cdot5!)/(5!\cdot4\cdot3\cdot2\cdot1)=(3024)/(24)=126](https://img.qammunity.org/2023/formulas/mathematics/college/i9x774bibx0tlusb0mim608uvx7hxwzfou.png)
Now calculate:
![P(5,9)=126\cdot0.59049\cdot0.0001](https://img.qammunity.org/2023/formulas/mathematics/college/u490i5v0r7rpy2epy3rpa9zn4mef6j5uol.png)
Finally:
P(5, 9) = 0.00744