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Alik [6]
3 years ago
7

You need a ladder that will reach up to 25 foot tall house when placed 10 feet away from the house. How tall does the ladder nee

d to be ?
Mathematics
1 answer:
lions [1.4K]3 years ago
8 0

This creates a right triangle. One leg of the triangle is 25 feet and the other is 10 feet. To find the length of the ladder, we must use Pythagorean theorem.

a = 25

b = 10

c = ?

(25)^2 + (10)^2 = c^2. Square all the terms to the left of the equation and add them together.

725 = c^2. Take the square root of each side.

c = 26.93 feet.

The ladder needs to be 26.93 feet tall.  

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Answer:

78cm

Step-by-step explanation:

d = 10

area of a circle = πr^2

22/7 × 5 × 5

78.5cm

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If FG= 3 4 FG=34 miles and LM=1.5 LM=1.5 miles, then the scale factor for the dilation is _____.
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The dilation is 35.5 miles
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2/7 = 4/5 + 1/7 q answe for q
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??

Step-by-step explanation:

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The seats at a local baseball stadium are arranged so that each row has five more seats than the row below it. If there are 4 se
nordsb [41]

Givens:

a = 4; n = 23; d = 5

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L = a + (n - 1)*d

Substitute and solve

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3 years ago
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)

In which

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

P(X = 0) = C_{3,0}.(0.06)^{0}.(0.94)^{3} = 0.8306

Then

P(X \geq 1) = 1 - P(X = 0) = 1 - 0.8306 = 0.1694

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

8 0
3 years ago
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