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Rufina [12.5K]
3 years ago
14

Please answer correctly !!!!!!! Will mark brainliest !!!!!!!!!!

Mathematics
1 answer:
MrMuchimi3 years ago
6 0

Answer:

side of square is 2-x

Step-by-step explanation:

Area of the square is side * side  or side ², so the expression for the side has to be square root of area

A = 4 -4x + x²

It should be recognized that 4 -4x + x²is a special product ( 2-x)² because this is a perfect square trinomial

side of square is 2-x

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EASY POINTS (attached)
solong [7]
Answer for the first one - it's complicated, but that maths is correct

I kind of cheated and did it a different way than they'd expect. By doing 24 squared, that gives you 576. 

since both angles are 45 degrees, then the sides are equal lengths. Therefore x squared times 2 = 576.

Because of this, x squared = 576 divided by 2, which equals 288.
Therefore the square root of 288 = 12 square root 2
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3 years ago
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A copy machine makes 84 copies in 3 minutes and 30 seconds. How many copies does it make per minute
lyudmila [28]

Answer:

24

Step-by-step explanation:

30 secs  = 0.5 min

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3 years ago
35,000 as a percent
Usimov [2.4K]
Move the deciaml 2 places to left

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3 years ago
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ema scores 72 marks out of 80 in her inglesh exam convert into 90 percent what is the answer step by step​
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(72/80)x90=81
Divide seventy-two by eight and multiply it Ninety.
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2 years ago
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When we reject the null and the null is true, we have a made a _________ __________.
nydimaria [60]

When we reject the null and the null is true, we have a made a type I error

The null hypothesis in statistics states that there is no difference between groups or no relationship between variables. It is one of two mutually exclusive hypotheses about a population in a hypothesis test.

null hypothesis is denoted as H₀

Reject the null hypothesis when the p-value is less than or equal to your significance level. Your sample data favor the alternative hypothesis, which suggests that the effect exists in the population. When you can reject the null hypothesis, your results are statistically significant.

when the p-value is greater than your significance level, you fail to reject the null hypothesis.

Sometimes , we reject our null hypothesis even when its true

there we made a type I error in hypothesis

To know more about null hypothesis here

brainly.com/question/19263925

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1 year ago
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