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labwork [276]
3 years ago
14

In your own words, describe the process of multiplying binomials using the FOIL method. You can either write a paragraph describ

ing the process, or you can list a set of steps to follow. Include an example problem in your answer.
Mathematics
1 answer:
neonofarm [45]3 years ago
5 0

Answer:

We can describe FOIL using the distributive property of multiplication. For real numbers x, y, and z the distributive property of multiplication states that

(x + y)z = xz + yz

Now let z = v + w, where v and w are real numbers.

Then (x + y)(v + w) = x(v + w) + y(v + w)

Here, we can again use the distributive property of multiplication to get

x(v + w) + y(v + w) = xv + xw + yv + yw

Hence, it follows that

(x + y)(v + w) = xv + xw + yv + yw

This is the method of FOIL (first: xv, outside: xw, inside: yv, last: yw)

For example, (1 + 2)(3 + 4) = 21 \\\text{and} \\1(3) + 1(4) + 2(3) + 2(4) = 3 + 4 + 6 + 8 = 21

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Answer:

Complete the following statements. In general, 50% of the values in a data set lie at or below the median. 75% of the values in a data set lie at or below the third quartile (Q3). If a sample consists of 500 test scores, of them 0.5*500 = 250 would be at or below the median. If a sample consists of 500 test scores, of them 0.75*500 = 375 would be at or above the first quartile (Q1).

Step-by-step explanation:

The median separates the upper half from the lower half of a set. So 50% of the values in a data set lie at or below the median, and 50% lie at or above the median.

The first quartile(Q1) separates the lower 25% from the upper 75% of a set. So 25% of the values in a data set lie at or below the first quartile, and 75% of the values in a data set lie at or above the first quartile.

The third quartile(Q3) separates the lower 75% from the upper 25% of a set. So 75% of the values in a data set lie at or below the third quartile, and 25% of the values in a data set lie at or the third quartile.

The answer is:

Complete the following statements. In general, 50% of the values in a data set lie at or below the median. 75% of the values in a data set lie at or below the third quartile (Q3). If a sample consists of 500 test scores, of them 0.5*500 = 250 would be at or below the median. If a sample consists of 500 test scores, of them 0.75*500 = 375 would be at or above the first quartile (Q1).

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3 years ago
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0.0987

Step-by-step explanation:

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3 years ago
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