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e-lub [12.9K]
2 years ago
5

If i had 3 babies and 4709079 nieces how many babies did each baby have

Mathematics
1 answer:
Olegator [25]2 years ago
3 0

Answer:

For 293737281020387272 years tamad ka paren mag basa ng numbers

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While on a safari in Africa I saw a small herd of zebras and cranes wandering over the grassland. I counted 18 heads in all and
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Kali runs 10 laps around a track each day. Each lap around the track is 400 meters. How many days will it take kali to run a tot
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2 years ago
In a particular region, 6% of the population is thought to have a certain disease. A standard diagnostic test has been found to
pochemuha

Answer:

The positive predictive value ≈ 30.012%

Step-by-step explanation:

(a) The given percentage of the people in the region that have the disease, P(D) = 6% = 0.06

The percentage people correctly identified as having the disease by the standard diagnostic test = 91%

The percentage of people incorrectly identified as having the disease by the standard diagnostic test, P(T + |H) = 8%

Therefore, the sensitivity of the test, P(T + |D) = 0.91

The specificity of the test, P(T - |H) = 1 - 0.08 = 0.92

Therefore, the probability that a person is healthy, P(H) = 1 - 0.06 = 0.94

Therefore, in a population of 1,000 people, 60 people have the disease, with a sensitivity of 91%, the test will correctly pic 0.91×66 = 60.06 people correctly with the disease and 0.91 × 940 = 855.4 people without the disease

The number of non-diseased that test positive by the test is 0.08 × 1000 = 80 people which are false positives

Therefore, the number of diseased diagnosed as negative is 0.08 × 60 = 4.8

Therefore, we have;

\begin{array}{cccc}&Deseased&Non-diseased& Diseased + Non-diseased\\Test  \ +ve&60.06&80& 140.06\\Test \ -ve&4.8&855.4&\end{array}

The positive predictive value = Diseased +ve/(Diseased +ve + Non-diseased  +ve)

The \ positive \  predictive  \ value = \dfrac{Diseased +ve}{Diseased +ve + Non-diseased  +ve} \times 100

Therefore;

The positive predictive value = 60.06/(60.06 + 140.06) × 100 ≈ 30.012%

7 0
2 years ago
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