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 0.763, and the probability of buying a movie ticket without a popcorn coupon is 0.237. If you buy 16 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
p=The probability of buying a movie ticket with a popcorn coupon=0.763
n=16
p=0.763
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Identify the parameter p in the following binomial
distribution scenario. The probability of buying a movie...
Question 10 Identify the parameter p in the following binomial distribution scenario. The probability of buying...
Question 10 Identify the parameter p in the following binomial distribution scenario. The probability of buying a movie ticket with a popcorn coupon is 0.634, and the probability of buying a movie ticket without a popcorn coupon is 0.366. If you buy 16 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.)
edu/d21 /le/content/369850 t/9521514/View Question Consider how the following scenario could be modeled with a binomial distribution,...
edu/d21 /le/content/369850 t/9521514/View Question Consider how the following scenario could be modeled with a binomial distribution, and answer the question that follows. 54.4% of tickets sold to a movie are sold with a popcorn coupon, and 45.6% are not. You want to calculate the probability of selling exactly 6 tickets with popcorn coupons out of 10 total tickets (or 6 successes in 10 trials) What value should you use for the parameter p? Provide your answer below
Unit 4.3 Binomial Distribution Understand the Parameters of the Binomial Distribution Question Consider how the following...
Unit 4.3 Binomial Distribution Understand the Parameters of the Binomial Distribution Question Consider how the following scenario could be modeled with a binomial distribution, and answer the question that folows 54.4% of tickets sold to a movie are sold with a popcorn coupon, and 45.6% are not. You want to calculate the problem of selling exactly 6 tickets with pop corn coupons out of 10 total tickets (or 6 successes in 10 trials) What value should you use for the...
The probability of buying a movie ticket with a popcorn coupon is 0.608. If you buy...
The probability of buying a movie ticket with a popcorn coupon is 0.608. If you buy 10 movie tickets, what is the probability that 3 or more of the tickets have popcorn coupons? (Round your answer to 3 decimal places if necessary.)
Identify the parameter n in the following binomial distribution scenario. A basketball player has a 0.479probability...
Identify the parameter n in the following binomial distribution scenario. A basketball player has a 0.479probability of making a free throw and a 0.521probability of missing. If the player shoots 17 free throws, we want to know the probability that he makes more than 9 of them. (Consider made free throws as successes in the binomial distribution.) Do not include 'n=' in your answer.
The probability of buying a movie ticket with a popcorn coupon is 0.608. If you buy...
The probability of buying a movie ticket with a popcorn coupon is 0.608. If you buy 10 movie tickets, what is the probability that 3 or more of the tickets have popcorn coupons? (Round your answer to 3 decimal places if necessary.) Seen multiple "correct" answers for this. Utilizing the calculator on my exam I received .951. The exam shows it as .999 with some crazy by hand method. We were taught to use the calculator functions. Trying to see...
Identify the parameters p and n in the following binomial distribution scenario. The probability of winning...
Identify the parameters p and n in the following binomial distribution scenario. The probability of winning an arcade game is 0.718 and the probability of losing is 0.282. If you play the arcade game 20 times, we want to know the probability of winning more than 15 times. (Consider winning as a success in the binomial distribution.) p= n=
- Suppose that the binomial distribution parameter a is to be estimated by P = X/n,...
- Suppose that the binomial distribution parameter a is to be estimated by P = X/n, where X is the number of successes in n independent trials, i.e. P is the sample proportion of successes. i. Write down the endpoints of an approximate 100(1 – a)% confidence interval for at, stating any necessary conditions which should be satisfied for such an approximate confidence interval to be used. You should also state the approximate sampling distribution of P = X/n. ii....
Consider a binomial probability distribution with p=0.3 and n = 8. What is the probability of...
Consider a binomial probability distribution with p=0.3 and n = 8. What is the probability of the following? b) exactly three successes less than three successes six or more successes a) P(x = 3) = b) P(x<3)= (Round to four decimal places as needed.) (Round to four decimal places as needed.) c) P(x26)= (Round to four decimal places as needed.)
Question 3 Consider a binomial distribution with a success probability of p = 0.65 and repeated...
Question 3 Consider a binomial distribution with a success probability of p = 0.65 and repeated 100 times. What is the normal distribution that approximates this binomial distribution? Use the approximation to find the probability that the number of successes is between 60 and 70 in the 100 repetitions. Next consider the same binomial distribution except that it is repeated 1,000 times. What is the normal distribution that approximates this binomial distribution with 1,000 repetitions? Use the approximation to find...
edu/d21 /le/content/369850 t/9521514/View Question Consider how the following scenario could be modeled with a binomial distribution, and answer the question that follows. 54.4% of tickets sold to a movie are sold with a popcorn coupon, and 45.6% are not. You want to calculate the probability of selling exactly 6 tickets with popcorn coupons out of 10 total tickets (or 6 successes in 10 trials) What value should you use for the parameter p? Provide your answer below
Unit 4.3 Binomial Distribution Understand the Parameters of the Binomial Distribution Question Consider how the following scenario could be modeled with a binomial distribution, and answer the question that folows 54.4% of tickets sold to a movie are sold with a popcorn coupon, and 45.6% are not. You want to calculate the problem of selling exactly 6 tickets with pop corn coupons out of 10 total tickets (or 6 successes in 10 trials) What value should you use for the...
- Suppose that the binomial distribution parameter a is to be estimated by P = X/n, where X is the number of successes in n independent trials, i.e. P is the sample proportion of successes. i. Write down the endpoints of an approximate 100(1 – a)% confidence interval for at, stating any necessary conditions which should be satisfied for such an approximate confidence interval to be used. You should also state the approximate sampling distribution of P = X/n. ii....
Consider a binomial probability distribution with p=0.3 and n = 8. What is the probability of the following? b) exactly three successes less than three successes six or more successes a) P(x = 3) = b) P(x<3)= (Round to four decimal places as needed.) (Round to four decimal places as needed.) c) P(x26)= (Round to four decimal places as needed.)
Question 3 Consider a binomial distribution with a success probability of p = 0.65 and repeated 100 times. What is the normal distribution that approximates this binomial distribution? Use the approximation to find the probability that the number of successes is between 60 and 70 in the 100 repetitions. Next consider the same binomial distribution except that it is repeated 1,000 times. What is the normal distribution that approximates this binomial distribution with 1,000 repetitions? Use the approximation to find...
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