According to the insurance research council, 14% of u.s. drivers are uninsured. a random sample of seven drivers was selected. what is the probability that three or more of these drivers are uninsured?

Respuesta :

i think the answer is 0.0620
fichoh

Using the concept of binomial probability, the probability that 3 or more of the drivers are uninsured is 0.062

Recall :

P(x = x) = nCx * p^x * q^(n-x)

Where ;

n = number of trials = 7

x ≥ 3

p = probability of success = P(uninsured) = 0.14

q = 1 - p = 1 - 0.14 = 0.86

P(x ≥ 3) = P(x = 3) + P(x = 4) + P(x = 5) + P(x = 6) + P(x = 7)

Using a binomial probability calculator :

P(x = 3) = 0.05253

P(x = 4) = 0.0086

P(x = 5) = 0.0008

P(x = 6) = 0.000045

P(x = 7) = 0.000001

Hence,

P(x ≥ 3) = 0.05253 + 0.0086 + 0.0008 + 0.000045 + 0.000001 = 0.062 (3 decimal places)

P(x ≥ 3) = 0.062 (3 decimal places).

Therefore, the probability that ≥ 3 of the drivers are uninsured is 0.062.

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