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Lelechka [254]
3 years ago
10

Idk wby it sets it up so weird in word form so imma just put this here

Mathematics
2 answers:
Anit [1.1K]3 years ago
5 0

Answer:

141/2, 279/4

Step-by-step explanation:

Naddika [18.5K]3 years ago
5 0

Answer: wow ur right like ummm

Step-by-step explanation: wby lol

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Isreal has 575779 ducks and tyier has 585869698 ducks how many ducks do they have in all
sergejj [24]
We know that <span>Isreal has 575779 ducks and Tyier has 585869698 ducks . To find how many they have in total we have to add them. 
</span>

575779+585869698=586445477 
4 0
4 years ago
Explain why the square root of a number is defined to be equal to that number to the 1/2 power<br>​
denis23 [38]

Answer:

Because square root is essentially the same thing as the power to a half

sqrt(x) is the same as (x)^1/2

4 0
3 years ago
Help plz<br> I am so confused
ankoles [38]

The answer to number 18 is -  0.25 or 1/4


If you need help with the other ones ask.


<em>Hope this will help :)</em>

8 0
4 years ago
Find c such that (−3,−8), (−7,−6), and (c,4) lie on a line.
bearhunter [10]
If the 3 points are collinear, then the slopes of all line segments connecting the points are the same.

Thus,

-6 - (-8) 2
m = ------------- = -------- = -1/2
-7 - (-3) -4

Then the following must be true:

4-(-6) 10
-1/2 = ------------ = ---------
c - (-7) c + 7

Cross multiplying, -(c+7) = 20, and c+7 = -20, so that c = -27
7 0
3 years ago
A university dean is interested in determining the proportion of students who receive some sort of financial aid. Rather than ex
Roman55 [17]

Answer:

 Standard error (S.E) =  0.048  ≅ 0.05

Step-by-step explanation:

<u>Explanation</u>:-

Given  sample size 'n'=76

Given the dean who randomly selects 76 students and finds that 58 out of 76 are receiving financial aid.

Sample proportion

                         p = \frac{x}{n} = \frac{58}{76} = 0.7631

The standard error is determined by

                     S.E = \sqrt{\frac{p(1-p)}{n} }

                     S.E = \sqrt{\frac{0.763(0.2369}{76} }

  Standard error is 0.048  ≅ 0.05

3 0
3 years ago
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