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lapo4ka [179]
3 years ago
14

Find the volume of the sphere with radius of 9 cm. Round your answer to the nearest whole number and please be sure to include y

our units.
3
0 24,429 cm
3
339 cm
3
03.054 cm
3
O 763 cm
Mathematics
1 answer:
bija089 [108]3 years ago
5 0

Answer:

3054cm rounded to the whole number

Step-by-step explanation:

4/3xxr^3

would become 4/3 x x 9^3

once you do all of the math you get 3054 cm.

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Solve x^2-12x+36 using the quadratic formula
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x=6

Step-by-step explanation:

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What is the constant of proportionality between y and x in the graph?
FinnZ [79.3K]

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4

Step-by-step explanation:

Constant of proportionality refers to the slope of the line in this case, the slope of the line is (4-0)/(1-0)=4

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If a+b+b =24 and b-a =4 what is a?​
Lyrx [107]

Answer:

a = 5 1/3

Step-by-step explanation:

a+b+b = 24

a + 2b = 24

b-a =4

a = b - 4

b - 4 + 2b = 24

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b =28/3

substitute this in a = b - 4

a = 28/3 - 4

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a = 16/3

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3 years ago
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At Harry's discount hardware everything is sold for 20 percent less than the price marked. If Harry buys tool kits for $80,what
ICE Princess25 [194]

Answer:

$120.

Step-by-step explanation:

The amount he sells the tool kit for  = 80 + 20% of 80

= 80 + 16

= $96.

Let m be the marked price, then

m - 0.20m = 96

0.8m = 96

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5 0
3 years ago
Let x denote the lifetime of a mcchine component with an exponential distribution. The mean time for the component failure is 25
aliina [53]

Answer:

0.1353 = 13.53% probability that the lifetime exceeds the mean time by more than 1 standard deviations

Step-by-step explanation:

Exponential distribution:

The exponential probability distribution, with mean m, is described by the following equation:

f(x) = \mu e^{-\mu x}

In which \mu = \frac{1}{m} is the decay parameter.

The probability that x is lower or equal to a is given by:

P(X \leq x) = \int\limits^a_0 {f(x)} \, dx

Which has the following solution:

P(X \leq x) = 1 - e^{-\mu x}

The probability of finding a value higher than x is:

P(X > x) = 1 - P(X \leq x) = 1 - (1 - e^{-\mu x}) = e^{-\mu x}

The mean time for the component failure is 2500 hours.

This means that m = \frac{2500}, \mu = \frac{1}{2500} = 0.0004

What is the probability that the lifetime exceeds the mean time by more than 1 standard deviations?

The standard deviation of the exponential distribution is the same as the mean, so this is P(X > 5000).

P(X > x) = e^{-0.0004*5000} = 0.1353

0.1353 = 13.53% probability that the lifetime exceeds the mean time by more than 1 standard deviations

4 0
2 years ago
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