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KATRIN_1 [288]
3 years ago
8

A store starts the day with 45 packages of cheese slices. Each package contains the same number of cheese slices. By the end of

the day, there are only 7 packages of cheese slices left.
Mathematics
1 answer:
Helen [10]3 years ago
5 0

Answer

Step-by-step explanation:

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The perimeter of an equilateral triangle is 13 inches more than the perimeter of a​ square, and the side of the triangle is 6 in
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The side of the triangle is 11 inches

Step-by-step explanation:

please kindly see the attached files for explanation

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152*3=456............,
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Oranges sell for $5.00 per bag. If the bag weighs 2 pounds, how much is the price per pound?
svetoff [14.1K]

Answer:

$2.50

Step-by-step explanation:

Since there are 2 pounds in the bag, you simply divide $5.00 by 2 to get the price of a single pound.

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The number of days, d, to build a house is given by
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Consider the probabilities of people taking pregnancy tests. Assume that the true probability of pregnancy for all people who ta
Valentin [98]

Using conditional probability, it is found that there is a 0.8462 = 84.62% probability that a woman who gets a positive test result is truly pregnant.

<h3>What is Conditional Probability?</h3>

Conditional probability is the probability of one event happening, considering a previous event. The formula is:

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, the events are:

  • Event A: Positive test result.
  • Event B: Pregnant.

The probability of a positive test result is composed by:

  • 99% of 10%(truly pregnant).
  • 2% of 90%(not pregnant).

Hence:

P(A) = 0.99(0.1) + 0.02(0.9) = 0.117

The probability of both a positive test result and pregnancy is:

P(A \cap B) = 0.99(0.1)

Hence, the conditional probability is:

P(B|A) = \frac{0.99(0.1)}{0.117} = 0.8462

0.8462 = 84.62% probability that a woman who gets a positive test result is truly pregnant.

You can learn more about conditional probability at brainly.com/question/14398287

7 0
2 years ago
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