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s2008m [1.1K]
3 years ago
14

Pls help. I WILL MARK BRAINLIEST!

Mathematics
2 answers:
goblinko [34]3 years ago
6 0

Answer:

c

Step-by-step explanation:

because if you look at the line below it it shows 180 degrees because it is a straight line if that makes sense. if not just trust me.

Over [174]3 years ago
5 0

Im sorry- everyone is saying its C so- Uh... sorry :<

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9x + 2+ 5x = 23 +7<br><br> SOLVE pLEASE
yarga [219]

Answer:

2

Step-by-step explanation:

14x + 2 = 30

14x = 28

x = 2

8 0
3 years ago
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What is <br> Sinx =125/500
Anastasy [175]

Answer:

14.4775121859299

Step-by-step explanation:

sinx = 125/500

sinx = 1/4

or, x = arcsin(1/4)

5 0
3 years ago
7) 2x + y = 7<br> What is the intercept
posledela

Answer:

2x + y = 7

x=7/2

y=7

Step-by-step explanation:

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3 years ago
DE is tangent to Circle C at point D. <br><br> What is the measure of Enter your answer in the box.
creativ13 [48]

Answer:

39°

Step-by-step explanation:

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That makes m<D = 90.

m<D + m<C + m<E = 180

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5 0
3 years ago
The proportion of U.S. births that result in a birth defect is approximately 1/33 according to the Centers for Disease Control a
Dafna11 [192]

Answer:

Probability that at least 490 do not result in birth defects = 0.1076

Step-by-step explanation:

Given - The proportion of U.S. births that result in a birth defect is approximately 1/33 according to the Centers for Disease Control and Prevention (CDC). A local hospital randomly selects five births and lets the random variable X count the number not resulting in a defect. Assume the births are independent.

To find - If 500 births were observed rather than only 5, what is the approximate probability that at least 490 do not result in birth defects

Proof -

Given that,

P(birth that result in a birth defect) = 1/33

P(birth that not result in a birth defect) = 1 - 1/33 = 32/33

Now,

Given that, n = 500

X = Number of birth that does not result in birth defects

Now,

P(X ≥ 490) = \sum\limits^{500}_{x=490} {^{500} C_{x} } (\frac{32}{33} )^{x} (\frac{1}{33} )^{500-x}

                 = {^{500} C_{490} } (\frac{32}{33} )^{490} (\frac{1}{33} )^{500-490}  + .......+ {^{500} C_{500} } (\frac{32}{33} )^{500} (\frac{1}{33} )^{500-500}

                = 0.04541 + ......+0.0000002079

                = 0.1076

⇒Probability that at least 490 do not result in birth defects = 0.1076

4 0
3 years ago
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