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Oksana_A [137]
3 years ago
10

−4(5 − 3x) = 12x + 20

Mathematics
2 answers:
andrezito [222]3 years ago
8 0

−4(5 − 3x) = 12x + 20

Solve for x:

First use the Distributive property:

-20 + 12x = 12x +20

Add 20 to both sides:

12x =12x + 40

Now you can't get X by itself, because both sides of the equation have the same quantity of x ( they both have 12x).

This means there is no solution.

jasenka [17]3 years ago
5 0

Answer:

no solution

Step-by-step explanation:−4(5 − 3x) = 12x + 20

−20 + 12x = 12x + 20

−20 = 20 → Since the values are not equal, there is no solution.

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The characteristic of a Null Matrix is :

A)All elements are = 0

C)First row = 0

D)First Column = 0

<u>Step-by-step explanation:</u>

Here we have , to tell which of the following are the characteristic of the null matrix  :

Null Matrix : A null matrix is a matrix whose every element is zero ! for Example - \left[\begin{array}{ccc}0&0&0\\0&0&0\\0&0&0\end{array}\right] is a 3×3 matrix , i.e. 3 rows & 3 columns .

A)All elements are = 0

Yes, All elements of a Null matrix are equal to 0 .

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3 years ago
Name the place value to which each number was rounded<br> 7.429 to 7.4
alexgriva [62]

Answer:

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Step-by-step explanation:

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2 years ago
A data set has a normal distribution with a mean of 47 and a standard deviation of 4.6. Use this information to scale the horizo
gulaghasi [49]

Horizontal axis with 1, 2, and 3 standard deviations above the mean are 51.6, 56.2, 60.8

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<u>Step-by-step explanation:</u>

A data set has a normal distribution with a mean of 47 and a standard deviation of 4.6

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From this information, you have to scale the horizontal axis with the mean of this distribution and values at 1, 2, and 3 standard deviations above and below the mean.

Horizontal axis with 1, 2, and 3 standard deviations above the mean :

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⇒ 47 + 4.6 = 51.6

2 standard deviations above the mean ⇒ M + 2SD

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3 standard deviations above the mean ⇒ M + 3SD

⇒ 47 + (3 × 4.6) = 60.8

Horizontal axis with 1, 2, and 3 standard deviations below the mean :

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2 standard deviations below the mean ⇒ M - 2SD

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3 standard deviations below the mean ⇒ M - 3SD

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4 years ago
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