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Nata [24]
3 years ago
5

It is urgent plz answer

Mathematics
1 answer:
Mamont248 [21]3 years ago
7 0

Answer:

my class is 8 th is I don't now this answer

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The next stop on the road trip is the zoo! jacob goes to find his favorite animal, the giraffe. jacob wonders how tall the talle
lapo4ka [179]
1 foot = 12 inches
Height of Jacob = 5 feet 6 inches = 5 *12 + 6 = 66 inches
Jacob's <span>shadow = 3 feet = 36 inches

</span>giraffe's shadow = <span>5 feet 9 inches = 5 * 12 + 9 = 69 inches

</span><span>by the ratio and proportion

∴ </span>Height of Jacob/Jacob's shadow = Height of giraffe/giraffe's shadow

∴ 66/36 = Height of giraffe/69

∴ Height of giraffe = 69 * 66/36 = 126.5 inches = 10 feet 6.5 inches
3 0
3 years ago
Which equation shows the point-slope form of the line that passes through (3, 2) and has a slope of 1/3
Mnenie [13.5K]

Answer:

y-y1=m(x-x1)

y-2=1/3(x-3)

y=1/3x+1

3 0
2 years ago
Point A is located at (-3, 9) and point B is located at (12,-10). Find the distance from point A to point B rounded to the neare
Nezavi [6.7K]

Answer:

20

Step-by-step explanation:

\sqrt{(( - 10) - 9)^{2}  + (12 - ( - 3)) ^{2} }

\sqrt{( - 19)^{2}  + (15)^{2} }

\sqrt{361 + 225}

\sqrt{586}

24.2074

7 0
2 years ago
Samuel buys office supplies for his home buissness
Reil [10]

Answer:

What supplies?

Step-by-step explanation:

6 0
2 years ago
A population has a standard deviation of 5.5. What is the standard error of the sampling distribution if the sample size is 81?
VladimirAG [237]

Answer:

\sigma = 5.5

And we have a sample size of n =81. We want to estimate the standard error of the sampling distribution \bar X and for this case we know that the distribution is given by:

\bar X \sim N(\mu ,\frac{\sigma}{\sqrt{n}})

And the standard error would be:

\sigma_{\bar x}= \frac{\sigma}{\sqrt{n}}

And replacing we got:

\sigma_{\bar x}=\frac{5.5}{\sqrt{81}}= 0.611

Step-by-step explanation:

For this case we know the population deviation given by:

\sigma = 5.5

And we have a sample size of n =81. We want to estimate the standard error of the sampling distribution \bar X and for this case we know that the distribution is given by:

\bar X \sim N(\mu ,\frac{\sigma}{\sqrt{n}})

And the standard error would be:

\sigma_{\bar x}= \frac{\sigma}{\sqrt{n}}

And replacing we got:

\sigma_{\bar x}=\frac{5.5}{\sqrt{81}}= 0.611

4 0
3 years ago
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