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3 years ago

Answer correctly please !!!! Will mark Brianliest !!!!!!!!!!!!!!

Mathematics

2 answers:

xxTIMURxx [149]3 years ago

6 0

Answer: 49 pie

Step-by-step explanation:

Alona [7]3 years ago

3 0

Hope this helps! feel free to clarify

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What is the volume of a pipe with a height of 15 meters and radius of 12 meters? Show work

Bas_tet [7]

Answer:

20. 300π m³

21. 457 1/3 π cm³

Step-by-step explanation:

20. r = 10 ÷ 2 = 5

V = 5² × 12 × π = 25 × 12π=300π m³

21. r = 14 ÷ 2 = 7

V = \frac{4}{3} \pi 7x^{3}

V = 457 1/3 π cm³

4 0

3 years ago

Read 2 more answers

Which of these myths do you think is probably believed by more people?

Sholpan [36]

Answer:

European explorers, like Christopher Columbus, were the first to cross the great oceans of the world.

5 0

4 years ago

All athletes at the Olympic Games (OG) are tested for performance-enhancing steroid drug use. The basic Anabolic Steroid Test (A

Semenov [28]

Answer:

a ) the probability of using steroids and having a negative test is 0.5%

b) The probability of testing positive is 6.4%

c) The probability of not using steroids, given that the test is negative is 99.47%

d) No, they are not statistically indepent.

e) The probability that the athlete will either use steroids or test positive is 6.9%

Step-by-step explanation:

Let A be the event that the test result is positive and B the event that the athlete uses Steroids. We are given the following

$P(A|B) = 90%, P(A|B^c) = 2%, P(B) = 5%$

From which we deduce that

$P(A^c|B) = 10%, P(B^c) = 95%$

a) We are asked for the probability $P(A^c\cap B)$ . REcall the conditional probability formula that, given two events C,D the conditional probability $P(C|D) = \frac{P(C\cap D)}{P(D)}$ . Then we have that

$P(A^c\cap B) = P(A^c|B)P(B) = 10\% \cdot 5\%=0.5\%$ .

b) We are asked for the probability P(A). We can use the fact that given two mutually exclusive events(that is, whose intersection is empty) A,B the probability P(C) of an event is given by $P(C) = P(C|A)P(A)+P(C|B)P(B)$ . Then

$P(A) = P(A|B)P(B)+P(A|B^c)P(B^c) = 90\%\cdot5\% + 2\% \cdot 95% = 6.4\%$

c) We are asked for the probability P(B^c|A^c). Recall that $P(A|B) = \frac{P(B|A)P(A)}{P(B)}$ . Then

$P(B^c|A^c) = \frac{P(A^c|B^c)P(B^c)}{P(A^c)}= \frac{P(A^c|B^c)P(B^c)}{1-P(A)}= \frac{(1-P(A|B^c))P(B^c)}{1-P(A)}=\frac{98\%\cdot 95\%}{1-6.4\%}= 99.47\%$

d) We say that two events A,B are statistically indepent if P(A|B) = P(A). Note that from point B the probability of testing negative is 1- 6.4% = 93.6%. Since 93.6% is different from 99.47% this means that testing positive and using steroids are not statistically independent.

e) We are asked for the probability $P(A\cup B)$ . We use the following