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ASHA 777 [7]
2 years ago
12

Statement Reason

Mathematics
1 answer:
andrew11 [14]2 years ago
7 0

Answer:vhv

Step-by-step explanation:hhgjhghjgjg

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COMPLETING THE SQUARE<br> X^2– 2x +
Studentka2010 [4]

Answer:

x^2 -2x + 1

Step-by-step explanation:

Think of a quadratic equation as

ax^2 + bx + c

x^2 -2x +

Comparing the two equations

a = 1 ,  b = -2,  c = ?

c becomes the missing part

Divide b by 2

-2/2 = -1

square the result

-1^2

= 1  this is what to add to get a perfect square

x^2 -2x + 1

(x - 1)^2

6 0
3 years ago
Solve for x. Round your answer to the nearest tenth. 19, 17
luda_lava [24]

Step-by-step explanation:

since what ? there is nothing here.

3 0
3 years ago
Solve for the variable:
Alexeev081 [22]

Answer:

A. x > -1

Step-by-step explanation:

- (x - 3) < 4 (2 + x)

-x + 3 < 8 + 4x

-5x + 3 < 8

-5x < 5

x > -1

Therefore, answer choice A is the correct answer.

6 0
3 years ago
ABCDE and FGHJE are similar pentagons. If the perimeter of FGHJE is 7.3, what is the perimeter of ABCDE?
kiruha [24]
The answer would be 14.6
4 0
3 years ago
Read 2 more answers
A Packaging Company produces boxes out of cardboard and has a specified weight of 16 oz. A random sample of 36 boxes yielded a s
user100 [1]

Answer:

The margin of error is of 0.73 oz.

The 99% confidence interval for the true mean weight of the boxes is between 14.57 oz and 16.03 oz. This means that we are 99% sure that the true mean weight of all boxed produced by the Packaging Company is between these two values, and that the specified weight is in this interval.

Step-by-step explanation:

We have that to find our \alpha level, that is the subtraction of 1 by the confidence interval divided by 2. So:

\alpha = \frac{1 - 0.99}{2} = 0.005

Now, we have to find z in the Ztable as such z has a pvalue of 1 - \alpha.

That is z with a pvalue of 1 - 0.005 = 0.995, so Z = 2.575.

Now, find the margin of error M as such

M = z\frac{\sigma}{\sqrt{n}}

In which \sigma is the standard deviation of the population and n is the size of the sample.

M = 2.575\frac{1.7}{\sqrt{36}} = 0.73

The margin of error is of 0.73 oz.

The lower end of the interval is the sample mean subtracted by M. So it is 15.3 - 0.73 = 14.57 oz.

The upper end of the interval is the sample mean added to M. So it is 15.3 + 0.73 = 16.03 oz.

The 99% confidence interval for the true mean weight of the boxes is between 14.57 oz and 16.03 oz. This means that we are 99% sure that the true mean weight of all boxed produced by the Packaging Company is between these two values, and that the specified weight is in this interval.

4 0
2 years ago
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