Binomial Distribution: Finding the number of trials

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SUMMARY

The discussion focuses on calculating the number of trials needed to achieve a 90% probability of obtaining at least three successes in a binomial distribution, where the probability of success in each trial is 0.2. The correct approach involves using the complement rule to find the probability of "at least three successes" by calculating "no more than two successes." The formula for binomial probabilities is essential for deriving the necessary calculations.

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  • Understanding of binomial distribution
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Dommm
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Homework Statement


Question: Find the number of trials needed to be 90% sure of at least three or more success, given that probability of one success is 0.2


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The Attempt at a Solution



My initial attempt at the problem was finding the probability of at least one success, then multiplying it by three, however that isn't the correct answer. I've found the answer via trial and error using binomial calculators online, but I still cannot seem to work it out by math.

Is it even possible? or is it far too complicated to find the number of trials for something for least two or more successes?
 
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Dommm said:
My initial attempt at the problem was finding the probability of at least one success, then multiplying it by three, however that isn't the correct answer.
No, you don't calculate it that way. In fact, think about it for a moment - it's easier to get at least one success than to get at least three successes, so the probability of at least three successes should be LOWER, not higher.

To find the probability, observe that the complement of "at least three successes" is "no more than two successes".

So you can compute
$$P(\text{at least three successes}) = 1 - P(\text{zero, one, or two successes})$$
 
jbunniii said:
No, you don't calculate it that way. In fact, think about it for a moment - it's easier to get at least one success than to get at least three successes, so the probability of at least three successes should be LOWER, not higher.

To find the probability, observe that the complement of "at least three successes" is "no more than two successes".

So you can compute
$$P(\text{at least three successes}) = 1 - P(\text{zero, one, or two successes})$$

Furthermore, you can calculate a formula for ##P(\text{zero, one, or two successes})## in terms of ##n##, using the formula for binomial probabilities.
 

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