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Snowcat [4.5K]
3 years ago
13

What is the math of pie

Mathematics
2 answers:
BartSMP [9]3 years ago
3 0
<span>The number π is a mathematical constant, the ratio of a circle's circumference to its diameter, commonly approximated as 3.14159. It has been represented by the Greek letter "π" since the mid-18th century, though it is also sometimes spelled out as "pi" (/paɪ/).</span>
Aloiza [94]3 years ago
3 0
The math of pie is 3.14
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How to find the perimeter of a semicircle​
Elza [17]

Answer: Formula: P=\frac{\pi d}{2}+d

Step-by-step explanation:

Formula: P=\frac{\pi d}{2}+d

Where;

P=perimeter\\\pi = pi (3.14)\\d= diameter\\

5 0
3 years ago
You want to go to graduate school, so you ask your math professor, Dr. Emmy Noether, for a letter of recommendation. You estimat
tresset_1 [31]

Answer:

a) 0.685

b) 0.8175

c) 0.254

Step-by-step explanation:

Let the event that one gets into graduate school be G

The event that one does not get into graduate school is G'

Let the event that one gets a strong recommendation be S

Let the event that one gets a moderately good recommendation be M

Let the event that one gets a weak recommendation be W

P(G|S) = 80% = 0.80

P(G|M) = 60% = 0.60

P(G|W) = 5% = 0.05

P(S) = 0.7

P(M) = 0.2

P(W) = 0.1

These 3 probabilities add up to a 1.0, so, it means these are all the possible outcomes for seeking a recommendation.

a) Probability that you will get into a graduate program = P(G)

P(G) = P(G n S) + P(G n M) + P(G n W)

But the conditional probability P(A|B) is given as

P(A|B) = P(A n B) ÷ P(B)

P(A n B) = P(A|B) × P(B)

Hence,

P(G n S) = P(G|S) × P(S) = 0.80 × 0.70 = 0.56

P(G n M) = P(G|M) × P(M) = 0.6 × 0.2 = 0.12

P(G n W) = P(G|W) × P(W) = 0.1 × 0.05 = 0.005

P(G) = P(G n S) + P(G n M) + P(G n W)

P(G) = 0.56 + 0.12 + 0.005 = 0.685

b) Given that one does receive an offer, probability that you received a strong recommendation?

This probability = P(S|G)

P(S|G) = P(G n S) ÷ P(G) = 0.56 ÷ 0.685 = 0.8175

c) Suppose you didn't receive an offer to attend a graduate program. Given that, what is the probability that you received a moderately good recommendation?

Probability that one doesn't get the offer, given one got a strong recommendation = P(G'|S)

P(G'|S) = 1 - P(G|S) = 1 - 0.80 = 0.20

Probability that one doesn't get job offer, given one got a moderate recommendation = P(G'|M)

P(G'|M) = 1 - P(G|M) = 1 - 0.60 = 0.40

Probability that one doesn't get job offer, given one got a weak recommendation = P(G'|S)

P(G'|W) = 1 - P(G|W) = 1 - 0.05 = 0.95

Total probability that one doesn't get the offer

P(G') = P(G' n S) + P(G' n M) + P(G' n W)

P(G' n S) = P(G'|S) × P(S) = 0.20 × 0.70 = 0.14

P(G' n M) = P(G'|M) × P(M) = 0.40 × 0.20 = 0.08

P(G' n W) = P(G'|W) × P(W) = 0.95 × 0.10 = 0.095

Total probability that one doesn't get the offer

P(G') = P(G' n S) + P(G' n M) + P(G' n W)

= 0.14 + 0.08 + 0.095 = 0.315

Given that one does not receive the job offer, the probability that you received a moderately good recommendation

This probability = P(M|G')

P(M|G') = P(G' n M) ÷ P(G') = 0.08 ÷ 0.315 = 0.254

Hope this Helps!!!

7 0
3 years ago
Can 6,6,12 make a triangle
BARSIC [14]

Very technically, yes. But . . .

-- Its angles would be  0°,  0°, and  180° .

-- Its height and area would both be zero.

-- It would look like a line segment, because the two ' 6 ' legs
would have to be wide open in a straight line, and they would
lie right on top of the ' 12 ' leg ... that's the only way they could
reach between the ends of it.


5 0
3 years ago
Read 2 more answers
the patient recovery time from a particular surgical procedure is normally distributed with a mean of 5.9 days and a standard de
NNADVOKAT [17]
The 85th percentile is the cutoff time t such that

\mathbb P(X

In other words, the 85th percentile refers to the time needed to belong to the top 15% of the distribution; more generally, the n percentile is the top (100-n)\% of the distribution.

Anyway, to find this value of t, transform X to a random variable Z with the standard normal distribution using

Z=\dfrac{X-\mu}\sigma

where \mu is the mean of X and \sigma is the standard deviation of X.

\mathbb P(X

Here t^* is used to denote the z-score corresponding to the cutoff time t. Referring to a z-score table, you find that this occurs for t^*\approx1.036. So,

\dfrac{t-5.9}{2.1}=t^*\implies t=5.9+2.1t^*\approx8.076
7 0
3 years ago
If x = -2, which inequality is true?
Mademuasel [1]

Step-by-step explanation:

The answer of this question is -5 + 3x > 1

If my answer is wrong so I am really sorry for it

4 0
2 years ago
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