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elixir [45]
2 years ago
9

How do you find points X, Y, and Z? Thank you and I will mark as Brainliest and 15 points!

Mathematics
1 answer:
katrin [286]2 years ago
8 0

Answer: The answer is  x = 21, y = 5√21  and  z = 2√21.


Step-by-step explanation:  As given in the question and shown in the attached figure, ΔABC, ΔABD and ΔACD are all right-angled triangles. Here, AB = 10  and  BD = 4, We need to find the values of 'x', 'y' and 'z'.

From the right-angled triangle  ΔABD, we have after using Pythagoras theorem that

AB^2=BD^2+AD^2\\\\\Rightarrow 10^2=4^2+z^2\\\\\Rightarrow 100=16+z^2\\\\\Rightarrow z^2=84\\\\\Rightarrow z=2\sqrt{21}.

Again, from the right-angled triangles ΔABC and ΔACD, we have

AB^2+BC^2=AC^2\\\\\Rightarrow 100+y^2=(4+x)^2\\\\\Rightarrow 100+y^2=x^2+8x+16,

and

AC^2=AD^2+CD^2\\\\\Rightarrow y^2=z^2+x^2\\\\\Rightarrow y^2=84+x^2.

Subtracting the above equation from the previous one, we have

100=8x+16-84\\\\\Rightarrow 8x=168\\\\\Rightarrow x=21.

And finally,

y=\sqrt{84+441}=\sqrt{525}=5\sqrt{21}.

Thus, x = 21, y = 5√21  and  z = 2√21.



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Suppose that bugs are present in 1% of all computer programs. A computer de-bugging program detects an actual bug with probabili
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Answer:

(i) The probability that there is a bug in the program given that the de-bugging program has detected the bug is 0.3333.

(ii) The probability that the bug is actually present given that the de-bugging program claims that bugs are present on both the first and second tests is 0.1111.

(iii) The probability that the bug is actually present given that the de-bugging program claims that bugs are present on all three tests is 0.037.

Step-by-step explanation:

Denote the events as follows:

<em>B</em> = bugs are present in a computer program.

<em>D</em> = a de-bugging program detects the bug.

The information provided is:

P(B) =0.01\\P(D|B)=0.99\\P(D|B^{c})=0.02

(i)

The probability that there is a bug in the program given that the de-bugging program has detected the bug is, P (B | D).

The Bayes' theorem states that the conditional probability of an event <em>E </em>given that another event <em>X</em> has already occurred is:

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

Use the Bayes' theorem to compute the value of P (B | D) as follows:

P(B|D)=\frac{P(D|B)P(B)}{P(D|B)P(B)+P(D|B^{c})P(B^{c})}=\frac{(0.99\times 0.01)}{(0.99\times 0.01)+(0.02\times (1-0.01))}=0.3333

Thus, the probability that there is a bug in the program given that the de-bugging program has detected the bug is 0.3333.

(ii)

The probability that a bug is actually present given that the de-bugging program claims that bug is present is:

P (B|D) = 0.3333

Now it is provided that two tests are performed on the program A.

Both the test are independent of each other.

The probability that the bug is actually present given that the de-bugging program claims that bugs are present on both the first and second tests is:

P (Bugs are actually present | Detects on both test) = P (B|D) × P (B|D)

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Thus, the probability that the bug is actually present given that the de-bugging program claims that bugs are present on both the first and second tests is 0.1111.

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Now it is provided that three tests are performed on the program A.

All the three tests are independent of each other.

The probability that the bug is actually present given that the de-bugging program claims that bugs are present on all three tests is:

P (Bugs are actually present | Detects on all 3 test)

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Thus, the probability that the bug is actually present given that the de-bugging program claims that bugs are present on all three tests is 0.037.

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