Calculate P(x > 2): Binomial Distribution

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To calculate P(x > 2) for a binomial random variable, use the formula P(x = m) = nCm * p^m * (1-p)^(n-m). For n = 8 and p = 0.3, the calculation involves finding the probabilities for x = 3 to 8. Alternatively, it's often easier to calculate P(x ≤ 2) by summing P(x = 0), P(x = 1), and P(x = 2), then subtracting from 1. For n = 6 and p = 0.1, the same approach applies. Understanding these calculations is essential for accurately determining probabilities in binomial distributions.
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Suppose x is a discrete, binomial random variable

Calculate P(x > 2), given trails n = 8, success probability p = 0.3

and

given trails n = 6, success probability p = 0.1
 
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When it says n is more than 2, it means that x = 3, 4, and so on until 8. You can compute the probabilities for each of the values of x wanted, or you can find the answer by applying the formula and using the statistical tables.
 
nachelle said:
Suppose x is a discrete, binomial random variable

Calculate P(x > 2), given trails n = 8, success probability p = 0.3

and

given trails n = 6, success probability p = 0.1
First, it "trials", not "trails"! P(x= m)= 8Cm(0.3)m(0.7)8-m. Since "x> 2" means x= 3, 4, 5, 6, 7, or 8, it might be simpler to find find P(x<= 2)= P(x= 0)+ P(x=1)+ P(x= 2) and then subtract from 1.
 

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