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postnew [5]
3 years ago
5

Evaluate. −0.2916 ÷ (−2.7)

Mathematics
1 answer:
7nadin3 [17]3 years ago
3 0
.108 would be the answer.
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Pls help.<br> I WILL MARK BRAINLIEST!
goblinko [34]

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.

6 0
3 years ago
Read 2 more answers
The front of the stage, side C , is 50 feet long. A 40-foot rope runs along the side of square B. A 30-foot rope runs along the
vovangra [49]

Answer: yes, because any triangle with the ratio of whole number 3:4:5 is a right triangle

Step-by-step explanation:

8 0
3 years ago
Need math help. Thanks in advance.
Mademuasel [1]
9. D because it fits the description when it is graphed. 
11. D because it has the correct vertex, which is (1.5, 4.75). 
12. f(x)=-4(x-2)²+16 works with the table and provided graph!
13. 0 isn't a zero for f(x), so B is correct (the zeros are 1/2 and 4). 
14. The width is about 3.831. 
15. The answer is B because the equation for a parabola in this form is: 
      f(x) = (x - r₁)(x - r₂)

Every one of these except for 15 was solved using desmos, a graphing calculator. 

Hope this helps!
7 0
3 years ago
Convert the rate 1000 ounces per 2 hours to cups per minutes?
Andrews [41]
125 cups in 120 minutes  (because 1000 oz/8 = 125 cups and  2 hrs is 120 minutes)

\frac{125}{120} = \frac{n}{1}

now reduce the fraction by dividing the numerator and denominator by 5 = (optional)
\frac{25}{24} =  \frac{n}{1}
So 24n = 25  Divide both sides by 24
n= 1  1/24 cups per minute
 

5 0
3 years ago
1. A gambler makes 100 column bets at roulette. The chance of winning on any one play is 12/38. The gambler can either win $ 5 o
lapo4ka [179]

Answer:

a) Expected amount of the gambler's win = $0.209

b) SD = 2.26

c)P (X >1) = P(z >0.35) = 0.36317

Step-by-step explanation:

The probability of winning, p = 12/38 =6/19

Probability of losing, q = 1 -p = 1-6/19

q = 13/19

Win amount = $5

Loss amount = $2

a) Expected total amount of win = ((6/19)*5) - ((13/19)*2)

Expected total amount of win = 1.579 - 1.369

Expected amount of win, E(X) = $0.209

b) Standard Deviation for the total amount of the gambler's win

SD = \sqrt{E(X^{2}) - (E(X))^{2} }

E(X²) = (6/19)*5²  -  (13/19)*2²

E(X²) = 5.158

SD = \sqrt{5.158 - 0.209^2}

SD = 2.26

c)  probability that, in total, the gambler wins at least $1.

P(X >1)

z = \frac{X - \mu}{\sigma}

μ = E(x) = 0.209

z = (1-0.209)/2.26

z = 0.35

P( X >1) = P(z >0.35)

P(z >0.35) = 1 - P(z <0.35)

P(z >0.35) = 1 - 0.63683

P(z >0.35) = 0.36317

5 0
3 years ago
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