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3 years ago

If I traveled 2269 miles for $328.00 in gas how many miles per gallon

Mathematics

1 answer:

ivanzaharov [21]3 years ago

5 0

Answer:

Step-by-step explanation:

2269 / 328 = 6.9 mpg approximately

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Austin is paid a salary of $475 weekly. Find the Austin’s earnings per year

nordsb [41]

Assuming there are no breaks, there are 52 weeks in a year so 475(52)= 24700

7 0

3 years ago

Need help with 8-9.

ANTONII [103]

So it is 5cm to 1m or 5cm to 1000cm
So the scale is the ratio which is 5:1000. this can be reduced to 1:200

10. if the room is 15cm on one side I can say that the ratio to actual size is 15/x. and scale is 1/200 so:
15/x = 1/200
3000 = x is one side

other side:
20/x = 1/200
4000 = x

7 0

4 years ago

Solve for x if the Perimeter = 26 14-2x 2x + 1 3x - 1

sergejj [24]

Answer:

x = 4

Step-by-step explanation:

Perimeter of triangle = sum of all sides

Side 1: 14 - 2x

Side 2: 3x - 1

Side 3: 2x + 1

Perimeter= side 1 + side 2 + side 3

26 = 14 - 2x + 3x - 1 + 2x + 1

26 = 14 - 1 + 1 - 2x + 3x + 2x

26 = 14 + 3x

3x = 12

x = 12/3

x = 4

3 0

3 years ago

Thompson and Thompson is a steel bolts manufacturing company. Their current steel bolts have a mean diameter of 141 millimeters,

tiny-mole [99]

Answer:

Probability that the sample mean would be greater than 141.4 millimetres is 0.3594.

Step-by-step explanation:

We are given that Thompson and Thompson is a steel bolts manufacturing company. Their current steel bolts have a mean diameter of 141 millimetres, and a standard deviation of 7.

A random sample of 39 steel bolts is selected.

Let $\bar X$ = sample mean diameter

The z score probability distribution for sample mean is given by;

Z = $\frac{ \bar X-\mu}{\frac{\sigma}{\sqrt{n} } } }$ ~ N(0,1)

where, $\mu$ = population mean diameter = 141 millimetres

$\sigma$ = standard deviation = 7 millimetres

n = sample of steel bolts = 39

Now, Percentage the sample mean would be greater than 141.4 millimetres is given by = P( $\bar X$ > 141.4 millimetres)

P( $\bar X$ > 141.4) = P( $\frac{ \bar X-\mu}{\frac{\sigma}{\sqrt{n} } } }$ > $\frac{141.4-141}{\frac{7}{\sqrt{39} } } }$ ) = P(Z > 0.36) = 1 - P(Z $\leq$ 0.36)

= 1 - 0.6406 = 0.3594

The above probability is calculated by looking at the value of x = 0.36 in the z table which has an area of 0.6406.

8 0

3 years ago

What property is 8 (m - 4 ) = 8 (m) - 8(4)

Darina [25.2K]

It is the The Distributive property

4 0

3 years ago