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Drupady [299]
3 years ago
5

If B is the midpoint of AC and AB = 4x + 14 and BC = x + 20, determine how long AC is.

Mathematics
2 answers:
Serhud [2]3 years ago
5 0

Answer:

44 units

Step-by-step explanation:

Since B is the mid-point of AC

AB=BC

or,4x+14=x+20

or, 4x-x=20-14

or 3x=6

or,x=6/3=2

AC=AB+BC

= 4x+14+x+20

= 4(2) + 14 +2 +20

= 8+14+22

=44 units

olchik [2.2K]3 years ago
5 0

Answer:

44 units

Step-by-step explanation:

We know that B is the midpoint of AC, so by definition, AB = BC. Thus, set the two expressions equal and solve for x:

AB = BC

4x + 14 = x + 20

3x = 6

x = 2

Given that x = 2, plug this into the expression for AB and BC and add them to get AC:

AC = AB + BC = 4 * 2 + 14 + 2 + 20 = 44

Hence, AC is 44 units.

Hope this helps!

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Answer:

(a) The proportion of women who are tested, get a negative test result is 0.82.

(b) The proportion of women who get a positive test result are actually carrying a fetus with a chromosome abnormality is 0.20.

Step-by-step explanation:

The Bayes' theorem states that the conditional probability of an event <em>E</em>_{i}, of the sample space <em>S,</em> given that another event <em>A</em> has already occurred is:

P(E_{i}|A)=\frac{P(A|E_{i})P(E_{i})}{\sum\liits^{n}_{i=1}{P(A|E_{i})P(E_{i})}}

The law of total probability states that, if events <em>E</em>₁, <em>E</em>₂, <em>E</em>₃... are parts of a sample space then for any event <em>A</em>,

P(A)=\sum\limits^{n}_{i=1}{P(A|B_{i})P(B_{i})}

Denote the events as follows:

<em>X</em> = fetus have a chromosome abnormality.

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Using the above the probabilities compute the remaining values as follows:

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P(Y^{c}|X)=1-P(Y|X)=1-0.90=0.10

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(a)

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Use the law of total probability:

P(Y^{c})=P(Y^{c}|X)P(X)+P(Y^{c}|X^{c})P(X^{c})

          =(0.10\times 0.04)+(0.85\times 0.96)\\=0.004+0.816\\=0.82

Thus, the proportion of women who are tested, get a negative test result is 0.82.

(b)

Compute the value of P (X|Y) as follows:

Use the Bayes' theorem:

P(X|Y)=\frac{P(Y|X)P(X)}{P(Y|X)P(X)+P(Y|X^{c})P(X^{c})}

             =\frac{(0.90\times 0.04)}{(0.90\times 0.04)+(0.15\times 0.96)}

             =0.20

Thus, the proportion of women who get a positive test result are actually carrying a fetus with a chromosome abnormality is 0.20.

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