# todd is traveling to mexico and needs to exchange \$450 into mexico pesos.If each dollar is worth 12.29 pesos , how many pesos will he get for his trip ?

5530.50 pesos

Step-by-step explanation:

What you need to do is multiply 450 by 12.29 because each dollar is worth 12.29 and so you need to do this 450 times.

4916

Step-by-step explanation:

we are  asked to convert 400 US dollars into Mexico pesos, given that 1 US dollars is equal ti 12.29 Mexico pesos. Let P represent the unknown quantity, in Mexico peso, we can set up a proportion, in pesos per dollars:

multiplying both sides by 400 and simplifying, we have

so 400 US dollars can be exchanged for 4,916  Mexican pesos

## Related Questions

Solve (-18^3+17x+6)/(3x+2)

The polynomial - 18x³ + 17x + 6 is divided by 3x + 2. Then the polynomial will be - 6x² + 4x + 3.

What is division?

Division means the separation of something into different parts, sharing of something among different people, places, etc.

- 6x² + 4x + 3

3x + 2 ) - 18x³ + 17x + 6

- 18x³ - 12x²

+ 12x² + 17 x + 6

+ 12x²  + 8x

+ 9x + 6

+ 9x + 6

0

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Step-by-step explanation:

How can you use 4×7 to find 8×7

If you think about it, 4x7 is half of 8x7 (If you multiply 4, 7, and 2, you get 8x7). So really you can just multiply 4x7 by 2 and you will get 8x7!
So if u look 4x7 is half of 8 x7 so times 4 and 7 then just double it

Historical data for a local steel manufacturing company shows that the average number of defects per standard sheet of steel is 2. In addition, the number of defects per unit is distributed according to Poisson distribution. A batch has just been completed. What is the probability that the first three units manufactured in this batch will contain at least a total of 4 defects?
A.8488
B.7149
C.1512
D.2851

Step-by-step explanation:

Poisson distribution formula :

, where = mean of the distribution.

Let x be the random variable that represents the number of defects.

Given : The average number of defects per standard sheet of steel is 2.

For 3 sheets , the  average number of defects per standard sheet of steel = 2 x 3 = 6

i.e.

Now , the probability that the first three units manufactured in this batch will contain at least a total of 4 defects will be :-

Hence, the probability that the first three units manufactured in this batch will contain at least a total of 4 defects will be 0.8488.

Thus , the correct option is A .8488.

A researcher is interested in estimating the average salary of police officers in a large city. She wants to be 99% confident that her estimate is correct. If the standard deviation is \$1050, how large a sample is needed to get the desired information and to be accurate within \$200?

Given:
σ = \$1050, ppulatin standard deviation
99% confidence interval
Accuracy = +/- \$200

The accuracy is given by
z*(σ/√n)
where
z* = 2.576 for 99% confidence level (from tables)
n = sample size

Therefore
2.576(1050/√n) = 200
√n = (2.576*1050)/200 = 13.524
n = 182.9

Answer: The sample size is 183