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forsale [732]
3 years ago
11

Question in pic please help

Mathematics
2 answers:
Karo-lina-s [1.5K]3 years ago
8 0

Answer:Point C

Step-by-step explanation: Because that was an unreachable point  

Hopefully This could help

solmaris [256]3 years ago
5 0

Answer:

point A

Step-by-step explanation:

pls do thx

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if y is 12 times x, which equation shows the relationship between x and y? y = 12x x = 12y x = 12 y y = 12 x
slega [8]
Y= 12*x
Y=12x

In short, y is a product of 12 and x
6 0
3 years ago
Read 2 more answers
What is $22 marked up to $33
Kitty [74]
<span>What is $22 marked up to $33
Ok, let us first analyze the given problem.
=> 22 dollars is said to be the original amount of money.
=> 33 dollars is the total marked up amount.
Now, we need to find out how many percent did the money increased
Solutions:
=> 33 dollars - 22 dollars = 11 dollars
=> 11 dollars / 22 dollars = 0.5 dollars
=> 0.5 dollars * 100% = 50%
Thus, the marked up money is 50%

</span>



7 0
3 years ago
Read 2 more answers
Suppose a circle with center (14, 9) passes through point (16, 12). Which equation represents the circle? A) (x + 14)2 + (y − 9)
MissTica

Answer:

C. ( x - 14 )2 + ( y - 9 )2 = 13

Step-by-step explanation:

3 0
4 years ago
I'm stuck
ArbitrLikvidat [17]

Answer:   d × 4 = D

Step-by-step explanation: d= days and D= dollars

7 0
3 years ago
There are 120 students at Francis Howell North High School. Mr. Willott conducts a poll that asks 20 randomly selected students
Sophie [7]

Answer:

Yes

Step-by-step explanation:

The central limit theorem says that If a random variable X from a population has mean u and finite variance σ² , then the sampling distribution of the sample mean X~ approaches a normal distribution with mean u and variance σ²/n as the sample size n approaches infinity.

It is interesting to note that we have neither assumed that the distribution of X is continuous nor we have said anything about the shape of the distribution , whereas the limiting distribution of X is continuous and normal. Thus the distribution of the sample means  regardless of the shape of the population having a finite variance , is approximately normal with mean u and variance σ²/n .

Therefore

(standard deviation/ √sample size)²= variance / n

2/ √20

= 2/4.472

=0.44721

The sampling distribution of X` is therefore approximately normal with mean ux=u and σx =σ/n

6 0
3 years ago
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