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slega [8]
2 years ago
9

Find the reference angle! I NEED HELP ASAP PLS!

Mathematics
1 answer:
NARA [144]2 years ago
3 0

Answer:

60°

Step-by-step explanation:

360 - 300 = 60

Hope this helps!

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Use the Pythagorean Theorem to find the length of the leg in the triangle shown below. The figure shows a right triangle with on
Natali5045456 [20]

Answer:

36

Step-by-step explanation:

you would just to 39^2-15^2 which is 1296 and the square root of that is 36 so 36 would be the answer

3 0
3 years ago
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If Ali wears a green shirt then we will take a test if we take a test then everyone will pass the test
tresset_1 [31]

Answer:

yea only ofc

Step-by-step explanation:

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3 years ago
You have $40 to spend on n gallons of gas that costs $3.25 per gallon. ​
Citrus2011 [14]

Answer:

You can buy 12 gallons of gas.

Step-by-step explanation:

I took 40 and 3.25, then divided them.

I got a very large ugly decimal. When simplified it is 12.

5 0
3 years ago
108 inches equals blank yard
inysia [295]
Answer: It would be 3 yards
<span>1 Yard = 36 Inches
</span>36+36+36= 108 inches
So its 3 yards. 
Hope i helped
4 0
3 years ago
A simple random sample of 100 observations was taken from a large population. The sample mean and the standard deviation were de
olga2289 [7]

Answer:

Se=1.2

Step-by-step explanation:

The standard error is the standard deviation of a sample population. "It measures the accuracy with which a sample represents a population".

The central limit theorem (CLT) states "that the distribution of sample means approximates a normal distribution, as the sample size becomes larger, assuming that all samples are identical in size, and regardless of the population distribution shape"

The sample mean is defined as:

\bar X =\frac{\sum_{i=1}^n x_i}{n}

And the distribution for the sample mean is given by:

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

Let X denotes the random variable that measures the particular characteristic of interest. Let, X1, X2, …, Xn be the values of the random variable for the n units of the sample.

As the sample size is large,(>30) it can be assumed that the distribution is normal. The standard error of the sample mean X bar is given by:

Se=\frac{\sigma}{\sqrt{n}}

If we replace the values given we have:

Se=\frac{12}{\sqrt{100}}=1.2

So then the distribution for the sample mean \bar X is:

\bar X \sim N(\mu=80,Se=1.2)

5 0
3 years ago
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