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solmaris [256]
3 years ago
6

What is does addition mean,I ask every one and they don't know,please help.

Mathematics
2 answers:
chubhunter [2.5K]3 years ago
6 0
Addition means adding for exanple

3+3=6
ElenaW [278]3 years ago
3 0
Addition is taking to numbers to get a larger number
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Solve for x ax-bx/x+c = d, if a =/b+d
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Answer:

dc/a-b-d

Step-by-step explanation:

ax – bx = d

x + c

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ax – bx

(x + c) = d(x + c)

x + c

Simplify

ax – bx

(x+c): ax – bx

x + c

ax – bx = d(x+c)

Expand d(x+c): dx + cd

ax — bx = dx + cd

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ax – bx – dx = dx + cd – dx

Simplify

ax – bx – dx = cd

Factor ax – bx – dx: x(a – b – d)

x(a - b- d) = cd

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a - b - d

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Answer:

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How are the properties of segments and angles used to determine their measure?
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You have to be able to know the appropriate properties or postulates to apply on the angles or segments to simplify them. An example would be the Angle Addition Postulate. This postulates states that the sum of the individual measures of the interior angles is equal to the measure of the included angle. There are still a lot more properties to choose from depending on the situation.
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Without calculating , decide which is greater : 3999 divided by 129 or 3834 divided by 142 .
pickupchik [31]
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5 0
3 years ago
Read 2 more answers
Note: Please make sure to properly format your answers. All dollar figures in the answers need to include the dollar sign and an
Daniel [21]

Using the normal distribution, the percentages are given as follows:

a) 9.18%.

b) 97.72%.

c) 50%.

d) 4.27%.

e) 0.13%.

f) 59.29%.

g) 2.46%.

h) 50%.

i) 50%.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean \mu and standard deviation \sigma is given by:

Z = \frac{X - \mu}{\sigma}

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.

For this problem, the mean and the standard deviation are given as follows:

\mu = 247, \sigma = 60

For item a, the proportion is the <u>p-value of Z when Z = 167</u>, hence:

Z = \frac{X - \mu}{\sigma}

Z = (167 - 247)/60

Z = -1.33.

Z = -1.33 has a p-value of 0.0918.

Hence the percentage is of 9.18%.

For item b, the proportion is the <u>p-value of Z when Z = 367</u>, hence:

Z = \frac{X - \mu}{\sigma}

Z = (367 - 247)/60

Z = 2.

Z = 2 has a p-value of 0.9772.

Hence the percentage is of 97.72%.

For item c, the proportion is <u>one subtracted by the p-value of Z when X = 247</u>, hence:

Z = \frac{X - \mu}{\sigma}

Z = (247 - 247)/60

Z = 0

Z = 0 has a p-value of 0.5.

Hence the percentage is of 50%.

For item d, the proportion is <u>one subtracted by the p-value of Z when X = 350</u>, hence:

Z = \frac{X - \mu}{\sigma}

Z = (350 - 247)/60

Z = 1.72

Z = 1.72 has a p-value of 0.9573.

1 - 0.9573 = 0.0427.

Hence the percentage is of 4.27%.

For item e, the proportion is the <u>p-value of Z when Z = 67</u>, hence:

Z = \frac{X - \mu}{\sigma}

Z = (67 - 247)/60

Z = -3.

Z = -3 has a p-value of 0.0013.

Hence the percentage is of 0.13%.

For item f, the proportion is the <u>p-value of Z when X = 300 subtracted by the p-value of Z when X = 200</u>, hence:

X = 300:

Z = \frac{X - \mu}{\sigma}

Z = (300 - 247)/60

Z = 0.88.

Z = 0.88 has a p-value of 0.8106.

X = 200:

Z = \frac{X - \mu}{\sigma}

Z = (200 - 247)/60

Z = -0.78.

Z = -0.78 has a p-value of 0.2177.

0.8106 - 0.2177 = 0.5929.

Hence the percentage is 59.29%.

For item g, the proportion is the <u>p-value of Z when X = 400 subtracted by the p-value of Z when X = 360</u>, hence:

X = 400:

Z = \frac{X - \mu}{\sigma}

Z = (400 - 247)/60

Z = 2.55.

Z = 2.55 has a p-value of 0.9946.

X = 360:

Z = \frac{X - \mu}{\sigma}

Z = (360 - 247)/60

Z = 1.88.

Z = 1.88 has a p-value of 0.97.

0.9946 - 0.97 = 0.0246

Hence the percentage is 2.46%.

For items h and i, the distribution is symmetric, hence median = mean and the percentages are of 50%.

More can be learned about the normal distribution at brainly.com/question/24808124

#SPJ1

4 0
2 years ago
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