Question

Identify the parameter p in the following binomial distribution scenario. The probability of buying a movie...

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.)

Homework Answers

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

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Identify the parameter p in the following binomial distribution scenario. The probability of buying a movie...
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...
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...
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.)
Consider a binomial probability distribution with p=.35 and n=7. what is the probability of the following?...
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)
For the binomial distribution with n = 10 and p = 0.3, find the probability of:...
For the binomial distribution with n = 10 and p = 0.3, find the probability of: 1. Five or more successes. 2. At most two successes. 3. At least one success. 4. At least 50% successes
Consider a binomial probability distribution with pequals=0.35 and nequals=7. What is the probability of the​ following?...
Consider a binomial probability distribution with pequals=0.35 and nequals=7. What is the probability of the​ following? ​a) exactly three successes ​b) less than three successes ​c) fivefive or more successes
Study the binomial distribution table. Notice that the probability of success on a single trial p...
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...
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...
The probability of a defective unit in a manufacturing process has a binomial distribution with p...
The probability of a defective unit in a manufacturing process has a binomial distribution with p = 0.03 What is the probability of 2 or more occurences in a sample of 15 units? (Hint: Probability of 2 or more is 1 minus probability of 1 or less.)
Given a random sample size n=1600 from a binomial probability distribution with P=0.40 do the following......
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