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alexandr402 [8]
3 years ago
15

Mrs. Herring buys a car for $28,750 and the value of the car decreases at 12.5% each year. How much is her car worth after 5 yea

rs?
Mathematics
1 answer:
zhenek [66]3 years ago
5 0

Answer:

$14,746.13

Step-by-step explanation:

28,750(1-.125)^x

The reason why it is .125 instead of 12.5 is beacuse you have to move the decimal over.

and you will get the answer of $14,746.13

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A store has shirts on display. Seven of the shirts are red. There are 5 more blue shirts than green shirts. There are 2 fewer ye
Nady [450]

Answer: green shirts = 6

Blue shirts = 11

Yellow shirts = 4

Red shirts = 7

Step-by-step explanation:

Red shirts = 7

Let green shirts be x.

There are 5 more blue shirts than green shirts. This means:

Blue shirts = x + 5

There are 2 fewer yellow shirts than green shirts. This means:

Yellow shirts = x - 2

There are 28 shirts in total

Red + blue + yellow + green = 28

7 + (x + 5) + (x - 2) + x = 28

7 + x + 5 + x - 2 + x = 28

10 + 3x = 28

3x = 28 - 10

3x = 18

x = 18/3

x = 6

There are 6 green shirts

Blue shirts = x + 5 = 6 + 5 = 11

Yellow shirts = x - 2 = 6 - 2 = 4

Red shirts = 7

4 0
2 years ago
A cylindrical pressure has a height of 9 feet and diameter of 6 feet. How much gas can the pressure vessel hold when full?
AleksAgata [21]

Answer:

81π ft³

Step-by-step explanation:

If the diameter is 6 ft, the radius is 3 ft.  

The volume is V = (area of base)(height).

Here,                V = (π[3 ft]²)(9 ft) = 81π ft³

3 0
2 years ago
Read 2 more answers
.For small training sets variance may contribute more to the overall error than bias. Sometimes this is handled by reducing the
Ymorist [56]

Answer:

Bias is the difference between the average prediction of our model and the correct value which we are trying to predict and variance is the variability of model prediction for a given data p[oint or a value which tells us the spread of our data the variance perform very well on training data but has high error rates on test data on the other hand if our model has small training sets then it's going to have smaller variance & & high bias and its contribute more to the overall error than bias. If our model is too simple and has very few parameters then it may have high bias and low variable. As the model go this is conceptually trivial and is much simpler than what people commonly envision when they think of modelling but it helps us to clearly illustrate the difference bewteen bias & variance.

3 0
2 years ago
#8: Linda is saving for retirement. She invest $12,000 in a retirement fund
mestny [16]

Answer:

12000(1+.04)^x

Step-by-step explanation:

12000(1+.04)^x

4 0
2 years ago
Andrew pays a monthly membership fee of $10 at his gym. Each time he uses the gym, he pays $5. Last month, Andrew
slamgirl [31]

Answer:

11

Step-by-step explanation:

11x5+10=65

6 0
2 years ago
Read 2 more answers
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