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Mathematics

1 answer:

seropon [69]2 years ago

4 0

Answer:

Step-by-step explanation:

A triangular pyramid has 6 edges, 4 vertices, and 1 base

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Michael and Derrick each completed a separate proof to show that corresponding angles AKG and ELK are congruent. Who completed t

saw5 [17]

Answer:

Corresponding angles between parallel lines and a transversal are equal. By comparing both proofs, Michael's proof is incorrect.

Step-by-step explanation:

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3 years ago

What is 0.78 as a percentage

enyata [817]

to write decimal as a percent, multiply by 100

so 0.78 *100 = 78%

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3 years ago

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What is the value of s in the equation 3r=10+5s when r=10

tatyana61 [14]

3*10 = 10+5*s
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20 = 5s
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3 years ago

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When doing blood testing for a viral infection, the procedure can be made more efficient and less expensive by combining partial

Serjik [45]

Answer:

0.1694 = 16.94% probability of a positive result for three samples combined into one mixture.

Step-by-step explanation:

For each test, there are only two possible outcomes. Either it is positive, or it is negative. The probability of a test being positive or negative is independent of any other test, which means that the binomial probability distribution is used to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

$P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}$

In which $C_{n,x}$ is the number of different combinations of x objects from a set of n elements, given by the following formula.

$C_{n,x} = \frac{n!}{x!(n-x)!}$

And p is the probability of X happening.

The probability of an individual blood sample testing positive for the virus is 0.06.

This means that $p = 0.06$

If samples from three people are combined and the mixture tests negative, we know that all three individual samples are negative. Find the probability of a positive result for three samples combined into one mixture.

It will be positive if at least one of the tests is positive, that is:

$P(X \geq 1) = 1 - P(X = 0)$