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beks73 [17]
2 years ago
9

How do I find x and y

Mathematics
2 answers:
boyakko [2]2 years ago
4 0
X = 10

to find x -
7x = 8x - 10


180 - 70 = 110
110 = 6y + 20

y = 15
-BARSIC- [3]2 years ago
3 0

Answer:

Y is on the top

X is on the bottem

Step-by-step explanation:

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156


4x6=24
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8 0
2 years ago
Ms. Moran has started an investment club at BSS. $8000 is invested, some at 10%
labwork [276]
The answer can be readily calculated using a single variable, x:

Let x = the amount being invested at an annual rate of 10%
Let (8000 - x) = the amount being invested at an annual rate of 12%

The problem is then stated as:

(x * 0.10) + ((8000 - x) * 0.12) = 900
0.10(x) + ((8000 * 0.12) - 0.12(x)) = 900
0.10(x) + 960 - 0.12(x) = 900
0.10(x) - 0.12(x) = 900 - 960
-0.02(x) = -60
-0.02(x) * -100/2 = -60 * -100/2
x = 6000 / 2
x = 3000

Thus, $3,000 is invested at 10% = $300 annually; and $8,000 - $3,000 = $5,000 invested at 12% = $600 annually, which sum to $900 annual investment.
6 0
3 years ago
Given the regular price of an item and the discount rate, how do you find the discount?
Allisa [31]

Answer:

discount divided by the normal/actual

Step-by-step explanation:

5 0
3 years ago
Suppose the selling price of homes is skewed right with a mean of 350,000 and a standard deviation of 160000 If we record the se
lys-0071 [83]

Answer:

The distribution will be approximately normal, with mean 350,000 and standard deviation 25,298.

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Population:

Suppose the selling price of homes is skewed right with a mean of 350,000 and a standard deviation of 160000

Sample of 40

Shape approximately normal

Mean 350000

Standard deviation s = \frac{160000}{\sqrt{40}} = 25298

The distribution will be approximately normal, with mean 350,000 and standard deviation 25,298.

5 0
3 years ago
Read 2 more answers
Simplify (b-a)U(c-a)?​
exis [7]

Answer:

Step-by-step explanation:

3 0
2 years ago
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