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LekaFEV [45]
3 years ago
13

3.) Un hombre está cargando un ascensor con muchas cajas idénticas de 48 libras. El hombre pesa 185 libras. El ascensor puede tr

ansportar como máximo 2000 libras. Escribe y resuelve una desigualdad. Explica tu solución.​
Mathematics
1 answer:
marshall27 [118]3 years ago
7 0

Answer:

48x + 185 ≤ 2000

Step-by-step explanation:

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Simplify the following expression.<br> 6 + (-11)<br> A. -17<br> B.-5<br> C. 5<br> D.17
Mila [183]
Answer: b (-5)

explanation: 11-6=5 therefore 6+(-11)= -5
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What is the solution set for the inequality 3(5- x)&lt;5x-17
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Answer:

i think the answer is 7

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Factor completely<br> 486+108x+6x^2<br><br> Thank you!
viktelen [127]

Answer:

6(x + 9) (x + 9)

or

6 (x+9)^{2}

Step-by-step explanation:

468 + 108x + 6x^{2} \\6x^{2} +108x + 468

Greatest common factor of 6, 108, and 486:

6 x 1 = 6

6 x 18 = 108

6 x 81 = 486

GCF: 6

so:

6(x^{2} +18x +81)

x^{2} +18x + 81

factors to:

(x + 9) (x + 9)

because:

9 x 9 = 81

9 + 9 = 18

So:

It factors completely too:

6(x + 9) (x + 9)

or

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6 0
3 years ago
The distribution of raw scores on a particular achievement test has a mean of 500500500 and a standard deviation of 808080. If e
Troyanec [42]

Answer:

Mean will increase by 25 i.e. it will become 75.

And, Standard deviation will remain same i.e. 80.

Step-by-step explanation:

Since, Each score is increased by 25. So, the Mean will increase by 25 i.e. it will become 75. Example: Mean of {4, 5, 6, 7, 8} = 6

and if every observation will increase by 2 then Mean of {6, 7, 8, 9, 10} = 8.

Thus, the Mean will also increase by 2.

Also, Standard deviation measures the dispersion(scatter) of data and it is the distance from the mean. Since there is no change in distance. Thus there will be no change in standard deviation.

Further, Mean is used to measure the central tendency of data which represents the whole data in the best way. It can be found as the ratio of the sum of all the observations to the total number of observations.

Standard Deviation is the square root of the sum of square of the distance of an observation from the mean.

6 0
3 years ago
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