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Vinil7 [7]
2 years ago
8

Ms. Grant’s car gets between 20 and 22 miles per gallon, inclusive. The gasoline she uses costs between $4.20 and $4.50 per gall

on, inclusive. What is the greatest amount Ms. Grant will spend on gasoline to drive her car 200 miles
Mathematics
1 answer:
maria [59]2 years ago
7 0

Answer:

You need to be more clearer with the money amount not like 4.20 - 4.50

Step-by-step explanation:

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Please help I don't understand!
Dafna11 [192]

Answer:

Attach the image of the triangle so I can help out and edit my answer

3 0
1 year ago
Simplify -4(-8x-8) in distributive property
frosja888 [35]

Answer:

32x+32

Step-by-step explanation:

In the distributive property, you have to multiply the thing outside the parenthesis to each term in the parenthesis. -4*-8x=32x and -4*-8=32, so the answer would be 32x+32

4 0
3 years ago
The parents of a hospitalized 3-month-old have to leave the infant while they work. One parent fears that the baby will cry as s
dexar [7]
1. “ at this age , my baby will not cry because we are leaving.”
5 0
3 years ago
jason built a rectangular tool shed that is 8 meters wide and has an area of 96 square meters. what is the length of jasons tool
pishuonlain [190]

Answer:

12 meters

Step-by-step explanation:

Area = length × width.  If we divided 96 (area) by 8 (width) we should get the length. 98 ÷  8 = 12.

6 0
3 years ago
The weekly amount spent by a small company for in-state travel has approximately a normal distribution with mean $1450 and stand
Llana [10]

Answer:

0.0903

Step-by-step explanation:

Given that :

The mean = 1450

The standard deviation = 220

sample mean = 1560

P(X > 1560) = P( Z > \dfrac{x - \mu}{\sigma})

P(X > 1560) = P(Z > \dfrac{1560 - 1450}{220})

P(X > 1560) = P(Z > \dfrac{110}{220})

P(X> 1560) = P(Z > 0.5)

P(X> 1560) = 1 - P(Z < 0.5)

From the z tables;

P(X> 1560) = 1 - 0.6915

P(X> 1560) = 0.3085

Let consider the given number of weeks = 52

Mean \mu_x = np = 52 × 0.3085 = 16.042

The standard deviation =  \sqrt {n \time p (1-p)}

The standard deviation = \sqrt {52 \times 0.3085 (1-0.3085)}

The standard deviation = 3.3306

Let Y be a random variable that proceeds in a binomial distribution, which denotes the number of weeks in a year that exceeds $1560.

Then;

Pr ( Y > 20) = P( z > 20)

Pr ( Y > 20) = P(Z > \dfrac{20.5 - 16.042}{3.3306})

Pr ( Y > 20) = P(Z >1 .338)

From z tables

P(Y > 20) \simeq 0.0903

7 0
3 years ago
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