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Alik [6]
3 years ago
8

What is 69.37 minus 1.93

Mathematics
1 answer:
Jlenok [28]3 years ago
5 0

Answer:

the answer is 67.44 hope it helps smile

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H to hhfjjye llloodsr b
garik1379 [7]
I honestly don’t know
6 0
3 years ago
I REALLY NEED HELP ILL GIVE BRAINLEISTTT
lord [1]

Answer:

960

Step-by-step explanation:

x = 0.6x + 384

Subtract 0.6x from both sides.

0.4x = 384

Divide both sides by 0.4

x = 960

5 0
3 years ago
Read 2 more answers
(2.5 • 10^4) - (1.5 • 10^3)<br><br> Evaluate please, can you show the steps
Usimov [2.4K]


According to PEMDAS, you would look in the parenthesis first. In the first set of parenthesis we have an exponent. 10x10x10x10 is 10,000. Then we multiply this by 2.5. We now have 25,000. We put this to the side..


Next, we do the same thing on the other side -- 10x10x10 is 1,000 and then you multiply that answer by 1.5 and we have 1,500. Now we can subtract. 25,000 - 1500 = 23,500 :)

8 0
3 years ago
Identify an equation in point-slope form for the line perpendicular to y = 1/4 that passes through (-2, -6)
abruzzese [7]

Perpendicular lines, slope is opposite and reciprocal

so slope of new line = - 4

passes through (-2, -6) in point-slope form

y + 6 = -4(x + 2)

Answer is C. y + 6 = -4 (x + 2)

4 0
3 years ago
The Central Limit Theorem tells us that for population distribution(s), if we repeatedly take new random samples from this distr
sertanlavr [38]

Answer:

d. If your sample size is very large, the distribution of the sample averages will look more like distribution.

Step-by-step explanation:

The central limit Theorem states that for population distribution if you repeatedly take samples from the distribution, then the normal thing for it to happen would be that the distribution means of the samples will be normally distributed, this is what it states, the option that comes closer to that statement would be  d. If your sample size is very large, the distribution of the sample averages will look more like distribution, because they large sample will create for a normally distributed means distribution.

7 0
3 years ago
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