Question

Identify the parameter p in the following binomial distribution scenario. The probability of buying a movie ticket with a popcorn coupon is 0.656 , and the probability of buying a movie ticket without a popcorn coupon is 0.344 . If you buy 15 movie tickets, we want to know the probability that more than 10 of the tickets have popcorn coupons. (Consider tickets with popcorn coupons as successes in the binomial distribution.)

Answer #1

Solution:

Here , x : tickets with popcorn coupons

p= The probability of buying a movie ticket with a popcorn coupon = 0.656

n = Sample size = 15

We have to find P( x > 10 ) = ________ ?

That means P( x > 10 ) = P( x 11 )

We know

Done

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coupon is 0.699, and the probability of buying a movie ticket
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want to know the probability that more than 16 of the tickets have
popcorn coupons. (Consider tickets with popcorn coupons as
successes in the binomial distribution.)

Identify the parameter p in the following binomial distribution
scenario. The probability of buying a movie ticket with a popcorn
coupon is 0.676 , and the probability of buying a movie ticket
without a popcorn coupon is 0.324 . If you buy 25 movie tickets, we
want to know the probability that more than 16 of the tickets have
popcorn coupons. (Consider tickets with popcorn coupons as
successes in the binomial distribution.)

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coupon is 0.787, and the probability of buying a movie ticket
without a popcorn coupon is 0.213. If you buy 20 movie tickets, we
want to know the probability that more than 13 of the tickets have
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b. less than three successes P(x<3)
c. five or more successes P(x>=5)

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Consider a binomial probability distribution with
pequals=0.35
and
nequals=7.
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a)
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b)
less than three successes
c)
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Study the binomial distribution table. Notice that the
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r is the number of successes in the n trials, and
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p̂ = r/n.
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(b) n = 36; p = 0.29; Compute the probability
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Given a random sample size n=1600 from a binomial probability
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show your work

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