[Top Answer] MATH225N – Week 4 Assignment – Evaluating Probability with the Binomial Distribution

Description

Week 4: Probability

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Week 4 Assignment – Evaluating Probability with the Binomial Distribution

Activity 1

Question

A weighted coin has a 0.55 probability of landing on heads. If you toss the coin 14 times, what is the probability of getting heads exactly 9 times? (Round your answer to 3 decimal places if necessary.)

Answer

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Activity 2

Question

A weighted coin has a 0.455 probability of landing on heads. If you toss the coin 27 times, what is the probability of getting heads more than 12 times? (Round your answer to 3 decimal places if necessary.)

Answer

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Activity 3

Question

Identify the parameters p and n in the following binomial distribution scenario. A basketball player has a 0.511 probability of making a free throw and a 0.489 probability of missing. If the player shoots 25 free throws, we want to know the probability that he makes no more than 10 of them. (Consider made free throws as successes in the binomial distribution.)

Answer

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Activity 4

Question

Identify the parameter n in the following binomial distribution scenario. A weighted coin has a 0.449 probability of landing on heads and a 0.551 probability of landing on tails. If you toss the coin 15 times, we want to know the probability of getting heads no more than 8 times. (Consider a toss of heads as success in the binomial distribution.)

Answer

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Activity 5

Question

Give the numerical value of the parameter p in the following binomial distribution scenario.

The probability of buying a movie ticket with a popcorn coupon is 0.629 and without a popcorn coupon is 0.371. If you buy 29 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. Do not include p= in your answer.

Provide your answer below:

Answer

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Activity 6

Question

Identify the parameter p in the following binomial distribution scenario. The probability of winning an arcade game is 0.403 and the probability of losing is 0.597. If you play the arcade game 24 times, we want to know the probability of winning more than 7 times. (Consider winning as a success in the binomial distribution.)

• 184
• 403
• 597
• 816

Answer

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Activity 7

Question

Identify the parameter n in the following binomial distribution scenario. A weighted coin has a 0.441 probability of landing on heads and a 0.559 probability of landing on tails.

If you toss the coin 19 times, we want to know the probability of getting heads more than 5 times. (Consider a toss of heads as success in the binomial distribution.)

What is the correct answer?

• 5
• 14
• 19
• 24

Answer

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Activity 8

Question

A softball pitcher has a 0.482 probability of throwing a strike for each pitch. If the softball pitcher throws 29 pitches, what is the probability that no more than 17 of them are strikes?

Round your answer to three decimal places

Provide your answer below:

Answer

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Activity 9

Question

A basketball player has a 0.689 probability of making a free throw. If the player shoots 18 free throws, what is the probability that she makes no more than 11 of them?

Answer

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Activity 10

Question

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 more than 3 of the tickets have popcorn coupons? (Round your answer to 3 decimal places if necessary)

Answer

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Activity 11

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?

Answer

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Activity 12

Question

Give the numerical value of the parameter p in the following binomial distribution scenario.

A softball pitcher has a 0.675 probability of throwing a strike for each pitch and a 0.325 probability of throwing a ball. If the softball pitcher throws 29 pitches, we want to know the probability that exactly 19 of them are strikes. Consider strikes as successes in the binomial distribution. Do not include p = in your answer.

Answer

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Activity 13

Question

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).

Answer

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Activity 14

Question

Give the numerical value of the parameter p in the following binomial distribution scenario.

The probability of winning an arcade game is 0.632 and the probability of losing is 0.368. If you play the arcade game 10 times, we want to know the probability of winning no more than 8 times.

Consider winning as a success in the binomial distribution. Do not include p= in your answer.

Answer

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Activity 15

Question

The probability of winning on an arcade game is 0.568. If you play the arcade game 22 times, what is the probability of winning more than 15 times?

Round your answer to three decimal places.

Answer

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Activity 16

Question

A softball pitcher has a 0.507 probability of throwing a strike for each pitch. If the softball pitcher throws 15 pitches, what is the probability that more than 8 of them are strikes? (Round your answer to 3 decimal places if necessary)

Answer

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