Question

Identify the parameter *p* in the following binomial
distribution scenario. The probability of buying a movie ticket
with a popcorn coupon is 0.690, and the probability of buying a
movie ticket without a popcorn coupon is 0.310. If you buy 20 movie
tickets, we want to know the probability that more than 13 of the
tickets have popcorn coupons. (Consider tickets with popcorn
coupons as successes in the binomial distribution.)

Answer #1

Identify the parameter p in the following binomial distribution
scenario. The probability of buying a movie ticket with a popcorn
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
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 0.699, and the probability of buying a movie ticket
without a popcorn coupon is 0.301. If you buy 24 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.)

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.)

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.)

Consider a binomial probability distribution with p=.35 and n=7.
what is the probability of the following?
a. exactly three successes P(x=3)
b. less than three successes P(x<3)
c. five or more successes P(x>=5)

Study the binomial distribution table. Notice that the
probability of success on a single trial p ranges from
0.01 to 0.95. Some binomial distribution tables stop at 0.50
because of the symmetry in the table. Let's look for that symmetry.
Consider the section of the table for which n = 5. Look at
the numbers in the columns headed by p = 0.30 and
p = 0.70. Do you detect any similarities? Consider the
following probabilities for a binomial experiment...

Suppose we have a binomial distribution with n trials
and probability of success p. The random variable
r is the number of successes in the n trials, and
the random variable representing the proportion of successes is
p̂ = r/n.
(a) n = 44; p = 0.53; Compute P(0.30
≤ p̂ ≤ 0.45). (Round your answer to four decimal
places.)
(b) n = 36; p = 0.29; Compute the probability
that p̂ will exceed 0.35. (Round your answer to four...

Analyze the scenario and complete the following:
Complete the discrete probability distribution for the given
variable.
Calculate the expected value and variance of the discrete
probability distribution.
The value of a ticket in a lottery, in which 2,000 tickets are
sold, with 1 grand prize of $2,500, 10 first prizes of $450, 20
second prizes of $125, and 55 third prizes of $40.
i.
xx
0
40
125
450
2,500
P(x)P(x)
Round probabilities to 4 decimal places
ii.
E(X)E(X) =...

Analyze the scenario and complete the following:
Complete the discrete probability distribution for the given
variable.
Calculate the expected value and variance of the discrete
probability distribution.
The value of a ticket in a lottery, in which 2,000 tickets are
sold, with 1 grand prize of $4,000, 10 first prizes of $300, 30
second prizes of $100, and 65 third prizes of $20.
i.
x
0
20
100
300
4,000
P(x)
?
?
?
?
?
The above is also...

Given a random sample size n=1600 from a binomial probability
distribution with P=0.40 do the following... with probability of
0.20 Find the number of successes is less than how many? Please
show your work

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