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Probability

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Joined: 08 Jul 2017
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Probability  [#permalink]

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New post 08 Jul 2017, 22:32
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Hello. I think I was lost in answering this question. Please check if my answers are correct. Thank you in advance.
Find the Probability... A team was formed to investigate the proliferation of counterfeit coins. It was found that the weight of genuine coins is normally distributed with µ = 27 grams and standard deviation = 4 grams, and the weight of counterfeit coins is normally distributed with µ = 23 grams and standard deviation = 5 grams. It was also estimated that 80% of coins in circulation are genuine, and the rest are counterfeit.
A. What is the probability that a cashier gives you a counterfeit coin that weighs more than 25 grams?
P(G) = 0.80 genuine coins in the circulation
P(C) = 0.20 counterfeit coins in the circulation
P(C ≥ 25) = 25-235 = 2/5 or 0.40
= 1 – P(z ≤ 0.4) = 1 – 0.6554
= 0.3446
P(C ≥ 25) = (0.3446) x (0.20) = 0.0689 or 6.89% - probability that a cashier gives you a counterfeit coin that weighs more than 25 grams.

B. What is the probability that a randomly chosen genuine coin weighs more than 25 grams?
P(G ≥ 25) = 25-274 = - 2/4 or -0.50
= P(z ≤ 0.50) = 0.6915
P(G ≥ 25) = (0.6915) x (0.80) = 0.5532 or 55.32% - probability that a randomly chosen genuine coin weighs more than 25 grams.

C. What is the probability that the cashier will give you a coin that weighs more than 25 grams and is a counterfeit?
P(≥25 Ω C) = P(G ≥ 25) x P(C ≥ 25)
= 0.5532 x 0.0689
= 0.0381 or 3.81% - probability that a cashier will give you a coin that weighs more than 25 grams and is a counterfeit

D. What is the probability that the coin from the cashier that weighs more than 25 grams is counterfeit?
P(≥25|C) = P(≥25 Ω C)P(C)
= 0.03810.20 = 0.1905 or 19.05% - probability that the coin from the cashier that weighs more than 25 grams is counterfeit.

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Re: Probability  [#permalink]

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New post 09 Jul 2017, 14:36
Angel2308 wrote:
Hello. I think I was lost in answering this question. Please check if my answers are correct. Thank you in advance.
Find the Probability... A team was formed to investigate the proliferation of counterfeit coins. It was found that the weight of genuine coins is normally distributed with µ = 27 grams and standard deviation = 4 grams, and the weight of counterfeit coins is normally distributed with µ = 23 grams and standard deviation = 5 grams. It was also estimated that 80% of coins in circulation are genuine, and the rest are counterfeit.
A. What is the probability that a cashier gives you a counterfeit coin that weighs more than 25 grams?
P(G) = 0.80 genuine coins in the circulation
P(C) = 0.20 counterfeit coins in the circulation
P(C ≥ 25) = 25-235 = 2/5 or 0.40
= 1 – P(z ≤ 0.4) = 1 – 0.6554
= 0.3446
P(C ≥ 25) = (0.3446) x (0.20) = 0.0689 or 6.89% - probability that a cashier gives you a counterfeit coin that weighs more than 25 grams.

B. What is the probability that a randomly chosen genuine coin weighs more than 25 grams?
P(G ≥ 25) = 25-274 = - 2/4 or -0.50
= P(z ≤ 0.50) = 0.6915
P(G ≥ 25) = (0.6915) x (0.80) = 0.5532 or 55.32% - probability that a randomly chosen genuine coin weighs more than 25 grams.

C. What is the probability that the cashier will give you a coin that weighs more than 25 grams and is a counterfeit?
P(≥25 Ω C) = P(G ≥ 25) x P(C ≥ 25)
= 0.5532 x 0.0689
= 0.0381 or 3.81% - probability that a cashier will give you a coin that weighs more than 25 grams and is a counterfeit

D. What is the probability that the coin from the cashier that weighs more than 25 grams is counterfeit?
P(≥25|C) = P(≥25 Ω C)P(C)
= 0.03810.20 = 0.1905 or 19.05% - probability that the coin from the cashier that weighs more than 25 grams is counterfeit.


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--== Message from the GMAT Club Team ==--

THERE IS LIKELY A BETTER DISCUSSION OF THIS EXACT QUESTION.
This discussion does not meet community quality standards. It has been retired.


If you would like to discuss this question please re-post it in the respective forum. Thank you!

To review the GMAT Club's Forums Posting Guidelines, please follow these links: Quantitative | Verbal Please note - we may remove posts that do not follow our posting guidelines. Thank you.

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Re: Probability   [#permalink] 09 Jul 2017, 14:36
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