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lozanna [386]
3 years ago
5

Convert a 30% markup percent on cost to markup percent on selling price. (Round to the nearest hundredth percent.)

Mathematics
1 answer:
Art [367]3 years ago
4 0

Answer:

Option C

23.08% markup on selling price.

Step-by-step explanation:

Given in the question,

markup percentage on cost price = 30%

To find,

markup percentage on selling price

Markup is the ratio between the cost of a good or service and its selling price.

Let suppose that cost price percentage = 100%

As we know that,

<h3>cost% + markup%  = selling%</h3><h3>100% + 30% = 130%</h3>

So percent markup selling price = 30 / 130 x 100

                                                        = 23.0769

Hence, 30% markup on cost price = 23.0769% markup on selling price.

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Step-by-step explanation:

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Probabilities are used to determine the chances of events

The value of the probability P(x < 24) is 0.7895

<h3>How to calculate the probability P(x < 24)?</h3>

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So, we have:

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Evaluate the sums

P(x < 24) = \frac{30}{38}

Evaluate the quotient

P(x < 24) = 0.7895

Hence, the value of the probability P(x < 24) is 0.7895

Read more about probabilities at:

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This year the CDC reported that 30% of adults received their flu shot. Of those adults who received their flu shot,
Vlad [161]

Using conditional probability, it is found that there is a 0.1165 = 11.65% probability that a person with the flu is a person who received a flu shot.

Conditional Probability

P(B|A) = \frac{P(A \cap B)}{P(A)}

In which

  • P(B|A) is the probability of event B happening, given that A happened.
  • P(A \cap B) is the probability of both A and B happening.
  • P(A) is the probability of A happening.

In this problem:

  • Event A: Person has the flu.
  • Event B: Person got the flu shot.

The percentages associated with getting the flu are:

  • 20% of 30%(got the shot).
  • 65% of 70%(did not get the shot).

Hence:

P(A) = 0.2(0.3) + 0.65(0.7) = 0.515

The probability of both having the flu and getting the shot is:

P(A \cap B) = 0.2(0.3) = 0.06

Hence, the conditional probability is:

P(B|A) = \frac{P(A \cap B)}{P(A)} = \frac{0.06}{0.515} = 0.1165

0.1165 = 11.65% probability that a person with the flu is a person who received a flu shot.

To learn more about conditional probability, you can take a look at brainly.com/question/14398287

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