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Helen [10]
3 years ago
6

Please help me guys godbless!​

Mathematics
1 answer:
Lesechka [4]3 years ago
4 0

Answer:

1.having less value.EXAMPLE: 4 is less than 12

2.having greater value.EXAMPLE: 6 is greater than five

3.having the same or less value.EXAMPLE: 13 is less than or equal to 13

4.having the same or greater value.EXAMPLE: 14 is greater than or equal to 7

Step-by-step explanation:

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Help help help me please
fredd [130]

Answer:

6x - 4

Step-by-step explanation:

Cross out the 3 in the denominator and the 9, which simplifies to 2 times 3x, which is 6x.  For the second part, cross out 3 in the denominator and -6, which becomes 2 times (-2), which is -4.

6 0
3 years ago
Solve for m <br> 0.2m=3.5
fredd [130]

Answer:

m = 17.5

Step-by-step explanation:

Given 0.2m=3.5, we want to solve for m.  This involves isolating m on the left side.  To accomplish this, divide both sides by 0.2, obtaining:

m = 3.5/0.2, or m = 17.5

7 0
3 years ago
12c + 6 =78 what is c
Softa [21]

Answer:

The letter C would be 78

6 0
3 years ago
Read 2 more answers
Suppose that x and y vary inversely. write a function that models each inverse variation.
Maurinko [17]

Answer:

y = - \frac{24}{x}

Step-by-step explanation:

Given that the quantities vary inversely then the equation relating them is

y = \frac{k}{x} ← k is the constant of variation

To find k use the condition x = 4 when y = - 6

k = yx = - 6 × 4 = - 24

y = - \frac{24}{x} ← equation of variation

4 0
4 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
4 years ago
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