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balandron [24]
3 years ago
6

What is the missing length

Mathematics
1 answer:
ruslelena [56]3 years ago
4 0
3.5 (give Brainliest)
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Students who attend Anytown College pay either in-state or out-of-state tuition, depending on where they reside. The amount, I,
notsponge [240]

Answer:

The correct answer is 0.1368

Step-by-step explanation:

Got it right on Edge assignment

4 0
3 years ago
Simplify if possible
Anarel [89]
The answer is the last choice 2 1/2
8 0
3 years ago
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What is the square root of 49 multiplied by the square root of 9
fiasKO [112]
First we need to find the the answer to both the square root of 49 and 9.

The "square root" is a term referring to a number, multiplied by itself (x • x) would be = to your square root.

So for example: Square root of 16 = 4 because 4*4=16 

So lets get out numbers:

\sqrt{9} =3

\sqrt{49}=7

Now you multiply 3*7 (or 7*3) and you get 21.

Final answer: 21

7 0
3 years ago
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Can someone answer this please and please answer it correctly please show work I need it today
Lostsunrise [7]

Answer: 45

Step-by-step explanation:

Total number of 8th graders that signed up = 30

9 dropped out. So the total number 8th graders on board the game

= 30 - 9 = 21

46 2/3 % of the club are 8th graders i.e 21

Let T be the total number of students in the club

46 2/3 % T = 21

(140/3)% T = 21

(140/300)T = 21

T = (21x300)/140 = 45

Therefore, there are 45 students on the club

3 0
3 years ago
Suppose you were to draw all possible samples of size 36 from a large population with a mean of 650 and a standard deviation of
Lady_Fox [76]

Answer:

By the Central Limit Theorem, it is approximately normal with mean 650 and standard deviation 4.

Step-by-step explanation:

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Mean of 650 and a standard deviation of 24.

This means that \mu = 650, \sigma = 24.

Sample of 36:

This means that n = 36, s = \frac{24}{\sqrt{36}} = 4

What is the shape of the sampling distribution you would expect to produce?

By the Central Limit Theorem, it is approximately normal with mean 650 and standard deviation 4.

7 0
3 years ago
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