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sweet [91]
2 years ago
15

Which statement is true? Question 1 options: A) – |–13| = 13 B) – |13| = 13 C) |–13| = 13 D) |13| = – 13

Mathematics
1 answer:
ExtremeBDS [4]2 years ago
3 0

Answer:

The answer is C. |-13| = 13

Step-by-step explanation:

The definition of absolute value is:

\displaystyle \large{ |x|  =  \begin{cases} x \:  \: (x \geqslant 0) \\  - x \:  \: (x < 0) \end{cases}}

To say it simply, any real numbers in absolute sign, when evaluated, they will always be positive.

No matter the positive real numbers or negative real numbers - if these numbers are in absolute sign, they will be evaluated to positive.

<u>E</u><u>x</u><u>a</u><u>m</u><u>p</u><u>l</u><u>e</u><u>s</u>

\displaystyle \large{ |2|  = 2} \\  \displaystyle \large{  | - 2|   = 2} \\ \displaystyle \large{ | - 8|  = 8}

But if the negative is not inside the absolute sign.

<u>E</u><u>x</u><u>a</u><u>m</u><u>p</u><u>l</u><u>e</u><u>s</u><u> </u><u>I</u><u>I</u>

\displaystyle \large{ -  |2|  = -  2} \\  \displaystyle \large{ -   | - 2|   =  - 2} \\ \displaystyle \large{ -  | - 8|  =  - 8}

First, we evalute the absolute value first. We know thay any real numbers in absolute sign will become positive. Next, after evaluating the absolute value, we simply add the negative symbol beside the positive number.

<u>S</u><u>i</u><u>m</u><u>p</u><u>l</u><u>i</u><u>f</u><u>i</u><u>e</u><u>d</u><u> </u><u>D</u><u>e</u><u>f</u><u>i</u><u>n</u><u>i</u><u>t</u><u>i</u><u>o</u><u>n</u>

This one is to make it simple to remember.

\displaystyle \large{ |a|  = a} \\ \displaystyle \large{ | - a|  = a}  \\  \displaystyle \large{  - |a|  =  - a} \\  \displaystyle \large{  - |  -  a|  = -  a}

After reading the explanation, see the choices and tell if they are true or not.

The A choice is wrong as we know that -|-13| is -13.

The B choice is wrong, the reason is same as the A choice.

The C choice is correct! Any real numbers in absolute sign are always positive.

The D choice is wrong because absolute-value numbers cannot be negative, refer to the C choice's reason.

Let me know if you have any questions!

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× + 20 + 2× = 10 - 2× - 15
OlgaM077 [116]

Answer:

The answer is -5

Step-by-step explanation:

\mathrm{Group\:like\:terms}\\x+2x+20=10-2x-15

\mathrm{Add\:similar\:elements:}\:x+2x=3x\\3x+20=10-2x-15

\mathrm{Group\:like\:terms}\\3x+20=-2x+10-15

\mathrm{Add/Subtract\:the\:numbers:}\:10-15=-5\\3x+20=-2x-5

\mathrm{Subtract\:}20\mathrm{\:from\:both\:sides}\\3x+20-20=-2x-5-20

\mathrm{Simplify}\\3x=-2x-25

\mathrm{Add\:}2x\mathrm{\:to\:both\:sides}\\3x+2x=-2x-25+2x

\mathrm{Simplify}\\5x=-25

\mathrm{Divide\:both\:sides\:by\:}5\\\frac{5x}{5}=\frac{-25}{5}

\mathrm{Simplify}\\x=-5

Hope this helps you greatly!

Have a great afternoon!

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3 years ago
Which statement is true?
melisa1 [442]

Answer:

All squares are rectangles.

Step-by-step explanation:

A square is a rectange with equal-length sides.

A rectangle is a parallelogram with right-angle corners.

A parallelogram is a quadrilateral with opposite sides parallel.

A quadrilateral is any 4-sided plane figure, not necessarily convex. Sides are not necessarily parallel, nor are angles necessarily 90°.

5 0
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60 is 15% of what number?
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6 0
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Read 2 more answers
A repeated-measures study comparing two treatments with n = 4 participants produces md = 2 and ss = 75 for the difference scores
valentinak56 [21]

The estimated standard error for the sample mean difference is  2.5 .

According to the question

A repeated-measures study comparing two treatments

n = 4

MD(mean difference) = 2

SS (sum of square) = 75

Now,

error for the sample  

Formula for standard error

S^{2} = \frac{SS}{n-1}

by substituting the value

S^{2} = \frac{75}{4-1}

S^{2} = \frac{75}{3}

S² = 25

S = 5 (s is never negative)

Standard error of the estimate for the sample mean difference

As

The standard error of the estimate is the estimation of the accuracy of any predictions.

The formula for standard error of the mean difference

standard error of the mean difference  =\frac{standard\\\ error}{\sqrt{n} }  

standard error of the mean difference = \frac{5}{\sqrt{4} }  

standard error of the mean difference = 2.5

Hence, the estimated standard error for the sample mean difference is  2.5 .

To know more about estimated standard error here:

brainly.com/question/14524236

#SPJ4

5 0
1 year ago
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