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2 years ago

A homeowner has decided to fill in

Mathematics

1 answer:

Dima020 [189]2 years ago

5 0

What is the homeowner filling in..?

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What is the sum of 5x*2 +3x-7 and 12x+12

Gemiola [76]

Answer:25x + 5

Step-by-step explanation:

(5x * 2 + 3x - 7) + (12x +12)

= (10x +2x - 7) + (12x + 12)

= (13x - 7) + (12x + 12)

Expand the brackets

= 13x - 7 + 12x + 12

Join like terms together

= 13x + 12x + 12 - 7

= 25x + 5

3 0

3 years ago

432 square feet 2/3 is with what's the length

Radda [10]

432 divide by 3. then multiply by two equals 288.

3 0

3 years ago

Find the slope of the line: the length of a bus route is 4 miles long on the sixth day and 4 miles long on the seventeenth day.

LiRa [457]

The slope is 0, since it is still 4 miles long for 11 days

hope this helps

this means that nothing is growing or decreasing

6 0

3 years ago

From a balloon 760 feet high, the angle of depression to the ranger headquarters is 89°18'. How far is the headquarters from a p

Gnom [1K]

Answer:

9 ft

Step-by-step explanation:

let x be the required distance.

$\frac{760}{x} =tan~ 89^\circ18 '\\x=\frac{760}{tan~89^\circ 18' } =\frac{760}{tan~89 \frac{18}{60}} =\frac{760}{tan~89.3^\circ} \\or~x \approx 9~ft$

6 0

3 years ago

A quality control engineer at a potato chip company tests the bag filling machine by weighing bags of potato chips. Not every ba

jekas [21]

Answer:

The test statistic is z = 1.865.

Step-by-step explanation:

The test statistic is:

$z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}$

In which X is the sample mean, $\mu$ is the value tested at the null hypothesis, $\sigma$ is the standard deviation and n is the size of the sample.

H0: p = 0.11

This means that 0.11 is tested at the null hypothesis, and so:

$\mu = 0.11$

$\sigma = \sqrt{0.11*0.89} = 0.3129$

The engineer weighs 94 bags and finds that 16 of them are over-filled.

This means that:

$n = 94, X = \frac{16}{94} = 0.1702$

What is the test statistic?

$z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}$

$z = \frac{0.1702 - 0.11}{\frac{0.3129}{\sqrt{94}}}$

$z = 1.865$

The test statistic is z = 1.865.

6 0

2 years ago