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Jet001 [13]
2 years ago
6

A sphere has a radius of 3cm what is the volume of the sphere

Mathematics
2 answers:
evablogger [386]2 years ago
7 0

Answer:

36

Step-by-step explanation:

Leni [432]2 years ago
5 0

Answer:

All of you are wrong its 36

Step-by-step explanation:

V = (4/3) (3.14) (r)³

V = (4/3) (3.14) (3)³

V = (4/3) (3.14) (27)

V = 36pi

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I need help with this!!! Thank you
ruslelena [56]

Answer:

4n^3-n^2-5n

Step-by-step explanation:

n(2n+4n2−5−3n)

=(n)(2n+4n2+−5+−3n)

=(n)(2n)+(n)(4n2)+(n)(−5)+(n)(−3n)

=2n2+4n3−5n−3n2

=4n3−n2−5n



6 0
2 years ago
Find each function value.
Levart [38]

Put the values of x to the equations of the functions:

1. f(9) → x = 9; f(x) = -3x + 10

f(9) = -3(9) + 10 = -27 + 10 = -17

2. f(-2) → x = -2; f(x) = 4x - 1

f(-2) = 4(-2) - 1 = -8 - 1 = -9

3. f(-5) → x = -5; f(x) = -2x + 8

f(-5) = -2(-5) + 8 = 10 + 8 = 18

5 0
3 years ago
HEEEEEEEEEEEEEEEEEEEEEEEELLLLLLLLLLLLLLP
Marina CMI [18]

Answer:

your answer would be 6

Step-by-step explanation:

(3)4-6

12-6

6

5 0
2 years ago
Read 2 more answers
A food processor packages orange juice in small jars. The weights of the filled jars are approximately normally distributed with
Ratling [72]

Answer:

P(X>10.983)=P(\frac{X-\mu}{\sigma}>\frac{10.983-\mu}{\sigma})=P(Z>\frac{10.983-10.5}{0.3})=P(z>1.61)

And we can find this probability using the complement rule and with excel or the normal standard table:

P(z>1.61)=1-P(z

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the weights of a population, and for this case we know the distribution for X is given by:

X \sim N(10.5,0.3)  

Where \mu=10.5 and \sigma=0.3

We are interested on this probability

P(X>10.983)

And the best way to solve this problem is using the normal standard distribution and the z score given by:

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

If we apply this formula to our probability we got this:

P(X>10.983)=P(\frac{X-\mu}{\sigma}>\frac{10.983-\mu}{\sigma})=P(Z>\frac{10.983-10.5}{0.3})=P(z>1.61)

And we can find this probability using the complement rule and with excel or the normal standard table:

P(z>1.61)=1-P(z

8 0
3 years ago
Help me please! !!!!!!!
Andrej [43]
The answer is c. 1/9. 

If x = -2, y = -1, z = 3

then,    (-2(-1) -(-1)^2) / 3(3)

(2 - 1)/3(3)

1/9

3 0
2 years ago
Read 2 more answers
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