Using the hypergeometric distribution, it is found that there is a 0.0273 = 2.73% probability that the third defective bulb is the fifth bulb tested.
In this problem, the bulbs are chosen without replacement, hence the <em>hypergeometric distribution</em> is used to solve this question.
<h3>What is the hypergeometric distribution formula?</h3>
The formula is:


The parameters are:
- x is the number of successes.
- N is the size of the population.
- n is the size of the sample.
- k is the total number of desired outcomes.
In this problem:
- There are 12 bulbs, hence N = 12.
- 3 are defective, hence k = 3.
The third defective bulb is the fifth bulb if:
- Two of the first 4 bulbs are defective, which is P(X = 2) when n = 4.
- The fifth is defective, with probability of 1/8, as of the eight remaining bulbs, one will be defective.
Hence:


0.2182 x 1/8 = 0.0273.
0.0273 = 2.73% probability that the third defective bulb is the fifth bulb tested.
More can be learned about the hypergeometric distribution at brainly.com/question/24826394
Answer:150
Step-by-step explanation:
It would be: 32/48 = 16/24 = 8/12 = 4/6 = 2/3
[ Just try to divide numerator & denominator by 2, until they reach at the position, when they can't reduce anymore ]
In short, Your Answer would be 2/3
Hope this helps!
For given Poisson distribution, <span>μ=8.
</span>P(k)=μ^k*e^(-<span>μ)/k!
so
P(4)=8^4*e^(-8)/4!=0.05725 approx.
</span>
5 is the answer. Any number that ends in 5 or 0 allows 5 to go into it.