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weqwewe [10]
3 years ago
14

The Grand Canyon is 277 miles long and 18 miles wide. A study was completed where 17

Mathematics
1 answer:
Natali5045456 [20]3 years ago
7 0
2,825 i am almost sure this is the right answer i apologize if not
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6(10+z+3) = pls help with this
tamaranim1 [39]

Answer: z = -13

Step-by-step explanation:

6(10+z+3) =

60 + 6z + 18 =

6z = -60 -18

6z = - 78

z= - 78/6

z = -13

4 0
3 years ago
Read 2 more answers
Osvaldo’s teacher asked him to write an equivalent equation for length, l, in terms of perimeter, p, and width, w. He wrote:
Andrej [43]

Answer:

step 2

Step-by-step explanation:

Given

p = 2l + 2w ( subtract 2w from both sides )

p - 2w = 2l ← correct step 1

Now, divide both sides by the multiplier 2

\frac{p-2w}{2} = l

3 0
3 years ago
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Solve: <br> 10c + 20 = 40
Natali5045456 [20]
Subtract 20 from 40 then divide by 10

C=2
8 0
3 years ago
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Write the fraction in simplest form. 2/16 *​
MArishka [77]
0.125 yea there many ways
3 0
2 years ago
When a distribution is mound-shaped symmetrical, what is the general relationship among the values of the mean, median, and mode
yuradex [85]

Answer:

The mean, median, and mode are approximately equal.

Step-by-step explanation:

The mean, median, and mode are <em>central tendency measures</em> in a distribution. That is, they are measures that correspond to a value that represents, roughly speaking, "the center" of the data distribution.

In the case of a <em>normal distribution</em>, these measures are located at the same point (i.e., mean = median = mode) and the values for this type of distribution are symmetrically distributed above and below the mean (mean = median = mode).

When a <em>distribution is not symmetrical</em>, we say it is <em>skewed</em>. The skewness is a measure of the <em>asymmetry</em> of the distribution. In this case, <em>the mean, median and mode are not the same</em>, and we have different possibilities as the mentioned in the question: the mean is less than the median and the mode (<em>negative skew</em>), or greater than them (<em>positive skew</em>), or approximately equal than the median but much greater than the mode (a variation of a <em>positive skew</em> case).  

In the case of the normal distribution, the skewness is 0 (zero).

Therefore, in the case of a <em>mound-shaped symmetrical distribution</em>, it resembles the <em>normal distribution</em> and, as a result, it has similar characteristics for the mean, the median, and the mode, that is, <em>they are all approximately equal</em>. So, <em>the </em><em>general</em><em> relationship among the values for these central tendency measures is that they are all approximately equal for mound-shaped symmetrical distributions, </em>considering they have similar characteristics of the <em>normal distribution</em>, which is also a mound-shaped symmetrical distribution (as well as the t-student distribution).

5 0
2 years ago
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