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3 years ago

A department store is having a clothing sale. If a $35.00 pair of pants has a discount tag of 20% off, what is the sale price?

Mathematics

1 answer:

givi [52]3 years ago

7 0

Answer:

$28.00

Step-by-step explanation:

You start with 35.00.

Now 10% of this is 3.5.

Multiply by 2 because it's 20%.

You get 7, so 7 is 20% of 35.00.

35.00 minus 7 is 28.00.

The pair of pants will be 28.00 dollars!

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How many times does 25 go into 24

DiKsa [7]

It does not at all
none

8 0

3 years ago

Read 2 more answers

The owner of a candy store wants to mix some peanuts worth $3 per pound, some cashews worth $10 per pound, and some Brazil nuts

elena-14-01-66 [18.8K]

Let
x = pounds of peanuts
y = pounds of cashews
z = pounds of Brazil nuts.

The total pounds is 50, therefore
x + y + z = 50 (1)

The total cost is $6.60 per pound for 50 pounds of mixture.
The total is equal to the sum of the costs of the different nuts.
Because the cost for peanuts, cashews, and Brazil nuts are $3, $10, and $9 respectively, therefore
3x + 10y + 9z = 50*6.8
3x + 10y + 9z = 340 (2)

There are 10 fewer pounds of cashews than peanuts, therefore
x = y + 10 (3)

Substitute (3) into (1) and (2).
y + 10 + y + z = 50
2y + z = 40 (4)
3(y + 10) + 10y + 9z = 340
13y + 9z = 310 (5)

From (4),
z = 40 - 2y (6)
Substitute (6) into (5).
13y + 9(40 - 2y) = 310
-5y = -50
y = 10
z = 40 - 2y = 40 - 20 = 20
x = y + 10 = 20

Answer:
Peanuts: 20 pounds
Cashews: 10 pounds
Brazil nuts: 20 pounds

8 0

3 years ago

Solve 7+x-15=2 over 2/3

4vir4ik [10]

Answer:

x= $\frac{32}{3}$

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3 years ago

Which of the following summary measures for forecast errors does not depend on the units of the forecast variable? a. MFE (mean

Orlov [11]

Answer:

d. The mean absolute percentage error (MAPE) does not depend on the units of the forecast variable.

Step-by-step explanation:

A forecast error is the difference between the actual or real and the predicted or forecast value of a time series or any other phenomenon of interest. Here “error” does not mean a mistake, it means the unpredictable part of an observation.

There are many different ways to summarize forecast errors in order to provide meaningful information.

Scale-dependent errors. The forecast errors are on the same scale as the data. The two most commonly used scale-dependent measures are based on the absolute errors or squared errors:

$\begin{align*} \text{Mean absolute error: MAE} & = \text{mean}(|e_{t}|),\\ \text{Root mean squared error: RMSE} & = \sqrt{\text{mean}(e_{t}^2)}.\end{align*}$ $\text{Mean absolute error: MAE} & = \text{mean}(|e_{t}|),\\ \\\text{Root mean squared error: RMSE} & = \sqrt{\text{mean}(e_{t}^2)}.$

Percentage errors. Percentage errors have the advantage of being unit-free, and so are frequently used to compare forecast performances between data sets. The most commonly used measure is:

$\text{Mean absolute percentage error: MAPE} = \text{mean}(|p_{t}|).$

6 0

3 years ago

#1) An airplane has 165 seats for passengers. Eleven-fifteenths of the seats

satela [25.4K]

Answer: 121 seats

Step-by-step explanation:

11/15 of the seat taken out of 165 so

11/15× 165= 120.9999≈121 seats

4 0

3 years ago