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Sveta_85 [38]
2 years ago
6

Help me please please please PLEASE! NO LINKS

Mathematics
2 answers:
Deffense [45]2 years ago
8 0
They got it right above ^
tresset_1 [31]2 years ago
7 0

Answer:

for the first one its    right one down 4

for the second one its    right 4 down 1

for the last one its       left 1 up 4

im pretty sure i helped u with your other one too

hope this helps

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Im throwing tons of points for these questions so please help
Galina-37 [17]

10. x = 4,-4

11.  x = 2,-2

12. Length = 12 yards, Weight = 6 yards

13.  x = -5,2


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3 years ago
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Rewrite the following linear equation in slope intercept form.
Veronika [31]
Means solve for y=mx+b form
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3 years ago
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A liquid shake is being served in a cone shaped container with a base diameter of 8 centimeters and a height of 22 centimeters.
zhuklara [117]

Answer:

The container weighs approximately 28 g.

Step-by-step explanation:

In order to solve this problem we first need to calculate the volume of the container, since it's shaped like a cone we must use the following formula:

volume container = (pi*r²*h)/3

Applying the data from the problem:

r = d / 2 = 8/2 = 4 cm

volume container = [pi*(4)²*22]/3

volume container = (pi*16*22)/3

volume container = (352*pi)/3 = 368.6135 cm³

Since the density is 0.82 g/cm³, we can find the mass of the shake by using the following formula:

density = mass / volume

shake mass = density*volume = 0.82*368.6135 = 302.26307 g

Since the container plus shake weighs 330 grams, then the container alone weighs:

container = 330 -302.26307 = 27.73693 g

The container weighs approximately 28 g.

5 0
3 years ago
A Monte Carlo experiment is a statistical analysis that uses repetitive random sampling to solve a problem.
zzz [600]

Answer:

True

Step-by-step explanation:

In the Monte Carlo simulations process, the probability of outcomes is determined on the basis of repeated sampling for the outcomes in a process which can not be determined easily due to several random variables involved in the process. This techniques helps in determining the risk, uncertainty in prediction and forecasting models.

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