Suppose the number of TV's in a household has a binomial distribution with parameters n = 17, and p = 80 %. Find the probability of a household having:
(a) 12 or 14 TV's
(b) 12 or fewer TV's
(c) 15 or more TV's
(d) fewer than 14 TV's
(e) more than 12 TV's
Binomial distribution: P(x) = nCx px qn-x
n = 17
p = 0.8
q = 1 - p = 0.2
a) P(12 or 14 TVs) = P(12) + P(14)
= 17C12x0.812x0.25 + 17C14x0.814x0.23
= 0.1361 + 0.2393
= 0.3754
b) P(12 or fewer TVs) = 1 - P(X > 12)
= 1 - [P(13) + P(14) + P(15) + P(16) + P(17)]
= 1 - (0.2093 + 0.2393 + 0.1914 + 0.0957 + 0.0225)
= 0.2418
P(15 or more TVs) = P(15) + P(16) + P(17)
= 0.1914 + 0.0957 + 0.0225
= 0.3096
d) P(fewer than 14 TVs) = 1 - P(14 or more TVs)
= 1 - [P(14) + P(15) + P(16) + P(17)]
= 1 - (0.2393 + 0.1914 + 0.0957 + 0.0225)
= 0.4511
e) P(more than 12 TVs) = 1 - P(12 or fewer)
= 1 - 0.2418
= 0.7582
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