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3 years ago

What numbers are 0.6 unit from 1.3 on a number line

Mathematics

2 answers:

professor190 [17]3 years ago

8 0

0.7 i think. we dont do this stuff at school but

Orlov [11]3 years ago

5 0

It would be 1.9 and 0.7 because you have to add 0.6 and 1.3 to get one of the numbers and you have to subtract 0.6 from 1.3 to get the other numbe

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A 60 kg dog requires fluids at 50 mL/kg over 24 hours. Using a 10 gtt/mL set how many gtts/min will you set?

Ann [662]

$50\times 10 = 500$
$60 \times 24 = 1400 \: mins$
500/1400= .36gtts per min

3 0

3 years ago

Please help me on this one question! (10th grade level)

Semmy [17]

Make an inequality representing both constraints.
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3 years ago

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How many times does 27 go into 324

Leona [35]

324 divided by 27 is 12.

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3 years ago

Jim’s Gym had income of $20,350 last month.The total increased by $2,000 this month.What was the percent increase to the nearest

frozen [14]

Answer:

10%

Step-by-step explanation:

To find the percentage, ask yourself, how much is 2000 of the original value which is 20350. This can be solved by the following equation.

2000/20350=

The answer is approximately 0.09828. Then, convert this to a percent. 9.828%. Then, round it to the nearest percent. The answer is 10%

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3 years ago

Lockheed Martin, the defense contractor designs and build communication satellite systems to be used by the U.S. military. Becau

Nana76 [90]

Answer:

$P(52$

And we can find this probability with this difference:

$P(-0.851$

And if we use the normal standard distribution or excel we got:

$P(-0.851$

Step-by-step explanation:

Let X the random variable that represent the time required to construct and test a particular component of a population, and for this case we know the distribution for X is given by:

$X \sim N(60,9.4)$

Where $\mu=60$ and $\sigma=9.4$

We want to find this probability:

$P(52$

And the best way to solve this problem is using the normal standard distribution and the z score given by:

$z=\frac{x-\mu}{\sigma}$

Using this formula we got:

$P(52$

And we can find this probability with this difference:

$P(-0.851$

And if we use the normal standard distribution or excel we got:

$P(-0.851$

5 0

3 years ago