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creativ13 [48]
3 years ago
9

Write improper fraction as a mixed number 85/40

Mathematics
2 answers:
VLD [36.1K]3 years ago
6 0
Regular is 2 and 5/40
Simplified is 2 and 1/8
maks197457 [2]3 years ago
4 0
85 ÷ 40 = 2 with remainder 5

so... the divisor 40 will be our denominator, the whole number we get is 2 and the remainder will be our numerator.

2 \frac{5}{40}

simplify...

2x 1/8
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Blababa [14]
The correct answer is. v=25/2
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3 years ago
Read 2 more answers
Can someone help with my homework?
USPshnik [31]

Step-by-step explanation:

To divide by a fraction, multiply by its reciprocal.

1) (m² / 9) / (n² / m)

(m² / 9) × (m / n²)

m³ / (9n²)

2) (4 / y) / (2 / (yx))

(4 / y) × (yx / 2)

2x

3) (x² / y) / (1 / y)

(x² / y) × (y / 1)

x²

4) (3 / b) / (9 / a²)

(3 / b) × (a² / 9)

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5) (x² / 16) / (16 / y²)

(x² / 16) × (y² / 16)

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5 0
3 years ago
How to do this question plz answer me step by step plzz plz ​
Iteru [2.4K]

Answer:

£13496.80

Step-by-step explanation:

We can ignore the £ sign for now, that is just units.

If we decrease a number by 4.5%, we will have to find 100-4.5=95.5% of 14132.77.

We can easily do this by setting up a proportion.

\frac{x}{14132.77} = \frac{95.5}{100}

Multiply 14132.77 by 95.5:

14132.77\cdot95.5=1349679.535

Divide by 100:

1349679.535\div100=13496.79535

Rounding this to two decimal places, it simplifies to 13496.80.

Hope this helped!

4 0
3 years ago
If water and oil are combined in a container, the resulting liquid is a(n)
Misha Larkins [42]
If water and oil are combined in a container, the resulting liquid is C.emulsion.
4 0
3 years ago
Suppose that the probabilities of a customer purchasing​ 0, 1, or 2 books at a book store are 0.20.2​, 0.30.3​, and 0.50.5​, res
PIT_PIT [208]

Answer:

0.78

Step-by-step explanation:

We have the next probability distribution:

X            P(X)

0            0.2

1             0.3

2            0.5

As we can see when we add all the probabilites the result is 1. Now calculating the mean we have:

mean=\mu=(0\times0.2)+(1\times 0.3)+(2\times 0.5)=0+0.3+1=1.3

The standard deviation is:

\sigma=\sqrt{\sum(x-\mu)^{2}(P(x))}

Then using the data that we have:

\sigma=\sqrt{\sum(x-\mu)^{2}(P(x))}\\\sigma=\sqrt{(0-1.3)^{2}(0.2)+(1-1.3)^{2}(0.3)+(2-1.3)^{2}(0.5)}\\\\\sigma=\sqrt{(-1.3)^{2}(0.2)+(-0.3)^{2}(0.3)+(0.7)^{2}(0.5)}\\\\\sigma=\sqrt{(1.69)(0.2)+(0.09)(0.3)+(0.49)(0.5)}\\\\\sigma=\sqrt{0.338+0.027+0.245}\\\\\sigma=\sqrt{0.61}\\\\\sigma=0.78\\

Then the standard deviation is 0.78

6 0
2 years ago
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