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Amiraneli [1.4K]
3 years ago
13

If an oligopolistic manufacturer believes that he faces a kinked demand curve for his product, he thinks his competitors will __

____ if he lowers his price and ____ if he raises his price.
(A) lower their prices; not raise their prices
(B) lower their prices; raise their prices
(C) not lower their prices; not raise their prices
(D) not lower their prices; raise their prices
Business
1 answer:
Oliga [24]3 years ago
7 0

Answer:

(A) lower their prices; not raise their prices

Explanation:

  • The oligopolistic market and the kinked demand curve show the relationship with the existing prices as the firm rise their prices above the current price the competitors will not follow as they have to maintain strict competition and thus the film will lose the market.
  • But if a firm tends to lower the prices the other will follow and they will retain the market shares and the format output will increase marginally.
  • Works on the assumptions that prices on the curve are relatively elastic
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inaccessibility exception

Explanation:

https://quizlet.com/205638479/b-law-ch-32-flash-cards/

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Determine the amount of producer surplus generated in the following situation. So­Hee advertises her car for sale in the used­ca
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Answer:

The answer is: $0

Explanation:

Producer surplus is the difference between the maximum price a suppler is willing and able to sell its product and the price of the product.

SoHee was willing to sell her car for at least $1,500, but she wasn't able to do so since the fair market price is $1,200. So, producer surplus is $0.

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3 years ago
According to a 2018 article in Esquire magazine, approximately 70% of males over age will develop cancerous cells in their prost
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Answer:

a) Probability of prostrate cancer given a positive test is P(C|+) = 0.0213

b) Probability of cancer given a negative test is P(C|-) = 0.0161

c) Probability of prostrate cancer given a positive test is P(C|+) = 0.3137

d) Probability of cancer given a negative test is P(C|-) = 0.2553

Explanation:

Probability male patient has prostate cancer, P(C) = 0.02

Probability male patient does not have prostrate cancer P(C') = 1 - 0.02 = 0.98

Probability of a positive test given there is no cancer, i.e. P(false positive) = P(+|C') = 0.75

P(negative test given there is cancer) = P(false negative) = P(-|C) = 0.2

P(negative test given there is no cancer) is the complement of P(+|C') = P(-|C') = 1 - 0.75 = 0.25

Probability of positive test given there is prostrate cancer, P(+|C) is the complement of P(-|C), = 1 - 0.2 = 0.8.

a) Probability of prostrate cancer given a positive test is P(C|+)

According to Baye's theorem, P(C|+) = P(+|C)P(C)/P(+)

For P(+), we use the Law Of Total Probability: P(+) = P(+|C)P(C) + P(+|C')P(C')

P(+) = (0.8 * 0.02) + (0.75 * 0.98) = 0.751

Therefore, P(C|+) = P(+|C)P(C)/P(+)

P(C|+) = (0.8 * 0.02)/0.751 = 0.0213

b) Probability of cancer given a negative test is P(C|-)

According to Baye's theorem, P(C|-) = P(-|C)P(C)/P(-)

P(-) = P(-|C)P(C) + P(-|C')P(C')

P(-) = (0.2 * 0.02) + (0.25 * 0.98) = 0.249

Therefore, P(C|-) = (0.2 * 0.02)/0.249

P(C|-) = 0.0161

Part 2: Given the following;

Probability male patient has prostate cancer, P(C) = 0.3

Probability male patient does not have prostrate cancer P(C') = 1 - 0.3 = 0.70

Probability of a positive test given there is no cancer, i.e. P(false positive) = P(+|C') = = 0.75

P(negative test given there is cancer) = P(false negative) = P(-|C) = 0.2

P(negative test given there is no cancer) is the complement of P(+|C') = P(-|C') = 1 - 0.75 = 0.25

Probability of positive test given there is prostrate cancer, P(+|C) is the complement of P(-|C), = 1 - 0.2 = 0.8.

c) Probability of prostrate cancer given a positive test is P(C|+)

According to Baye's theorem, P(C|+) = P(+|C)P(C)/P(+)

For P(+), we use the Law Of Total Probability: P(+) = P(+|C)P(C) + P(+|C')P(C')

P(+) = (0.8 * 0.3) + (0.75 * 0.7) = 0.751

Therefore, P(C|+) = P(+|C)P(C)/P(+)

P(C|+) = (0.8 * 0.3)/0.765 = 0.3137

d) Probability of cancer given a negative test is P(C|-)

According to Baye's theorem, P(C|-) = P(-|C)P(C)/P(-)

P(-) = P(-|C)P(C) + P(-|C')P(C')

P(-) = (0.2 * 0.3) + (0.25 * 0.7) = 0.235

Therefore, P(C|-) = (0.2 * 0.3)/0.235

P(C|-) = 0.2553

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Explanation: In simple words, resistance to change refers to the situation when the individuals that are going to be affected from such a change consider that as a threat.

Above all of the following options only the increased error will be implicit as it would not be detectable without checking.

Hence from the above we can conclude that the correct option is B.

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According to proponents of the Hawthorne effect, Multiple Choice giving less attention to employees increases worker productivit
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Answer:

giving more attention to employees increases worker productivity, if they think managers care about them.

Explanation:

Hawthorne effect establishes that when the workers are observed they improve their productivity. When the initial experiment was done, the investigators were trying to prove that the improvement of workers environment increases the productivity; when they improve the lighting conditions the productivity improved, but when the study finished the productivity was reduced again. In that way they realized that when the workers are observed they improve their productivity because they feel that the managers care about them and their results.

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