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Ede4ka [16]
3 years ago
10

Find -32.3 - (-16.3).

Mathematics
2 answers:
pentagon [3]3 years ago
8 0

Answer:

-16

Step-by-step explanation:

-32.3 - (-16.3).

we know:

-*- =+

-32.3 + 16.3

-16

Serga [27]3 years ago
3 0

Answer:

-16

Step-by-step explanation:

Since - and - is plus, the answer is equivalent to -32.3 + 16.3

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a data set has a mean of 68 and standard deviation of 6. An element in this set is 51. What is z-score for 51? Round your answer
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z = -2.83

<u>Explanation:</u>

Given:

Mean, μ = 68

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A hospital’s financial reimbursement payor mix indicates 35% of the patients have Medicare and 15% have Medicaid. Of those who h
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Using conditional probability, it is found that there is a 0.035 = 3.5% probability that a hospital patient has both Medicare and Medicaid.

<h3>What is Conditional Probability?</h3>
  • <em>Conditional probability</em> is the <u>probability of one event happening, considering a previous event</u>. 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: Patient has Medicare.
  • Event B: Patient has Medicaid.

For the probabilities, we have that:

  • 35% of the patients have Medicare, hence P(A) = 0.35.
  • Of those who have Medicare, there is a 10% chance they also have Medicaid, hence P(B|A) = 0.1.

Then, applying the <em>conditional </em>probability:

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

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P(A \cap B) = 0.35(0.1)

P(A \cap B) = 0.035

0.035 = 3.5% probability that a hospital patient has both Medicare and Medicaid.

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

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