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jok3333 [9.3K]
3 years ago
5

12 pints 3 cups = ? cups *

Mathematics
2 answers:
Allushta [10]3 years ago
8 0

Answer:15

Step-by-step explanation:

Harman [31]3 years ago
4 0

Answer:

7.5

hope this helps

have a good day :)

Step-by-step explanation:

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The first four numbers hexa said were 16 32 48 and 64 if she keep counting this way what is the 99th Number hexa will say
rewona [7]

Answer:

316,912,650,057,057,350,374,175,801,344

Step-by-step explanation:

You can see that this sequence is geometric so you need to know the geometric sequence which is x_{n} =r^{n-1} and if you plug in every thing you get x_{n}=2^{99-1} which would be 2^{98} which is 316,912,650,057,057,350,374,175,801,344

6 0
4 years ago
The perimeter of a rectangle is 56 inches. The length is 4 more than 3 times the width. What are the dimensions of the rectangle
VashaNatasha [74]
Let the length be x and the width be y, then
2x + 2y = 56
x + y = 28 . . . (1)
x = 4 + 3y . . . (2)

Putting (2) into (1) gives
4 + 3y + y = 28
4y = 28 - 4 = 24
y = 24/4 = 6
x = 4 + 3(6) = 4 + 18 = 22

Therefore, length is 22 inches and width is 6 inches.
5 0
3 years ago
Name all the statements that correctly describe the effect of the rule
Maurinko [17]
The answer is C I’m pretty sure
7 0
3 years ago
Which two binomials in part A didn't have an equivalent factored form? What made these expressions different from the
dalvyx [7]

Answer:

The binomials 16x2 + 9 and x2 + 16 didn’t have an equivalent factored form. Both are sums of perfect squares instead of differences.

Step-by-step explanation:

Official answer

4 0
3 years ago
The amount of snow fall falling in a certain mountain range is normally distributed with a mean of 74 inches, and a standard dev
Nutka1998 [239]

Given that the sample mean is μ=74 and sample standard deviation σₓ=\frac{σ}{ \sqrt{n}}  =\frac{12}{\sqrt{36}}  =2.

Thge Z- score is Z=\frac{76.8-74}{2} =1.4.

Now we use the Z-score to calculate the required probability.

Refer to standard normal distribution table.

The required probability is

P(X>76.8) =P(Z>1.4)=1-P(Z

4 0
3 years ago
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