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katrin2010 [14]
3 years ago
14

I need help I don't understand this

Mathematics
2 answers:
Stella [2.4K]3 years ago
5 0
You plug in the numbers to the equation A2+B2=C2
borishaifa [10]3 years ago
3 0
It's so simple though.
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The sum of a number x and 5 equals 14
pav-90 [236]

Answer:

x=9

Step-by-step explanation:

Since x+5=14, then you would subtract 5 from 14. 14-5=9. So that means x equals 9.

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3 years ago
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Giải phương trình sau:<br> sinx=1/2
cupoosta [38]

Answer: \begin{bmatrix}\mathrm{Radians:}\:&\:x=\frac{\pi }{6}+2\pi n,\:x=\frac{5\pi }{6}+2\pi n\:\\ \:\mathrm{Degrees:}&\:x=30^{\circ \:}+360^{\circ \:}n,\:x=150^{\circ \:}+360^{\circ \:}n\end{bmatrix}

Step-by-step explanation:

\sin \left(x\right)=\frac{1}{2}

x=\frac{\pi }{6}+2\pi n,\:x=\frac{5\pi }{6}+2\pi

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2 years ago
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potatoes - Samples: Assume the weights of Farmer Carl's potatoes are normally distributed with a mean of 8.0 ounces and a standa
EleoNora [17]
24 because 42 \ 6 is 24
4 0
3 years ago
Started business whit cash Rs 250000 and Machinery Rs 200000<br>Accounting equation ​
oksano4ka [1.4K]

\huge\purple{Answer}

In case there is no double entry system is followed, profit can be calculated by comparing the opening and closing capital. In the given situation this can be calculated as:

Opening Capital Rs.200000

Add: Capital Introduced Rs.200000

Add: Profit for the year Rs. 250000

Less: Loss for the year Rs.NIL

Less: Drawings Rs. 30000

--------------------

Capital at the end of the year Rs.620000

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Loan taken is a liability and loan given is asset, that will not affect the capital.

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7 0
2 years ago
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The weight of baby goats is believed to be Normally distributed, with a mean of 5.75 pounds. The average weight of a random samp
Julli [10]

Answer:

The standard error of the mean is 0.0783.

Step-by-step explanation:

The Central Limit Theorem helps us find the standard error of the mean:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation \frac{\sigma}{\sqrt{n}}.

The standard deviation of the sample is the same as the standard error of the mean. So

SE_{M} = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\sigma = 0.35, n = 20

So

SE_{M} = \frac{\sigma}{\sqrt{n}}

SE_{M} = \frac{0.35}{\sqrt{20}}

SE_{M} = 0.0783

The standard error of the mean is 0.0783.

7 0
3 years ago
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