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Orlov [11]
3 years ago
13

Can someone explain please and thank you!!

Mathematics
1 answer:
k0ka [10]3 years ago
7 0

Answer:

75

Step-by-step explanation:

Hope this helps!! :))

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Combine into a single logarithm.<br><br> 3log(x+y)+2log(x-y)-log(x^2 +y^2)
seropon [69]

Answer:

3\log _{10}\left(x+y\right)+2\log _{10}\left(x-y\right)-\log _{10}\left(x^2+y^2\right)=\log _{10}\left(\frac{\left(x+y\right)^3\left(x-y\right)^2}{x^2+y^2}\right)

Step-by-step explanation:

Given the expression

3log\left(x+y\right)+2log\left(x-y\right)-log\left(x^2\:+y^2\right)

solving to write into a single logarithm

3log\left(x+y\right)+2log\left(x-y\right)-log\left(x^2\:+y^2\right)

  • \mathrm{Apply\:log\:rule}:\quad \:a\log _c\left(b\right)=\log _c\left(b^a\right)

3\log _{10}\left(x+y\right)=\log _{10}\left(\left(x+y\right)^3\right)

so

=\log _{10}\left(\left(x+y\right)^3\right)+2\log _{10}\left(x-y\right)-\log _{10}\left(x^2+y^2\right)

  • \mathrm{Apply\:log\:rule}:\quad \:a\log _c\left(b\right)=\log _c\left(b^a\right)

2\log _{10}\left(x-y\right)=\log _{10}\left(\left(x-y\right)^2\right)

so

=\log _{10}\left(\left(x+y\right)^3\right)+\log _{10}\left(\left(x-y\right)^2\right)-\log _{10}\left(x^2+y^2\right)

  • \mathrm{Apply\:log\:rule}:\quad \log _c\left(a\right)+\log _c\left(b\right)=\log _c\left(ab\right)

\log _{10}\left(\left(x+y\right)^3\right)+\log _{10}\left(\left(x-y\right)^2\right)=\log _{10}\left(\left(x+y\right)^3\left(x-y\right)^2\right)

so

=\log _{10}\left(\left(x+y\right)^3\left(x-y\right)^2\right)-\log _{10}\left(x^2+y^2\right)

  • \mathrm{Apply\:log\:rule}:\quad \log _c\left(a\right)-\log _c\left(b\right)=\log _c\left(\frac{a}{b}\right)

\log _{10}\left(\left(x+y\right)^3\left(x-y\right)^2\right)-\log _{10}\left(x^2+y^2\right)=\log _{10}\left(\frac{\left(x+y\right)^3\left(x-y\right)^2}{x^2+y^2}\right)

=\log _{10}\left(\frac{\left(x+y\right)^3\left(x-y\right)^2}{x^2+y^2}\right)

Thus,

3\log _{10}\left(x+y\right)+2\log _{10}\left(x-y\right)-\log _{10}\left(x^2+y^2\right)=\log _{10}\left(\frac{\left(x+y\right)^3\left(x-y\right)^2}{x^2+y^2}\right)

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18. A normal population has a mean of 80.0 and a standard deviation of 14.0. a. Compute the probability of a value between 75.0
mixer [17]

Answer:

a) 40.17% probability of a value between 75.0 and 90.0.

b) 35.94% probability of a value 75.0 or less.

c) 20.22% probability of a value between 55.0 and 70.0.

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

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

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

\mu = 80, \sigma = 14

a. Compute the probability of a value between 75.0 and 90.0.

This is the pvalue of Z when X = 90 subtracted by the pvalue of Z when X = 75.

X = 90

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

Z = \frac{90 - 80}{14}

Z = 0.71

Z = 0.71 has a pvalue of 0.7611

X = 75

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

Z = \frac{75 - 80}{14}

Z = -0.36

Z = -0.36 has a pvalue of 0.3594

0.7611 - 0.3594 = 0.4017

40.17% probability of a value between 75.0 and 90.0.

b. Compute the probability of a value 75.0 or less.

This is the pvalue of Z when X = 75. So

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

Z = \frac{75 - 80}{14}

Z = -0.36

Z = -0.36 has a pvalue of 0.3594

35.94% probability of a value 75.0 or less.

c. Compute the probability of a value between 55.0 and 70.0.

This is the pvalue of Z when X = 70 subtracted by the pvalue of Z when X = 55.

X = 70

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

Z = \frac{70 - 80}{14}

Z = -0.71

Z = -0.71 has a pvalue of 0.2389

X = 55

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

Z = \frac{55 - 80}{14}

Z = -1.79

Z = -1.791 has a pvalue of 0.0367

0.2389 - 0.0367 = 0.2022

20.22% probability of a value between 55.0 and 70.0.

6 0
4 years ago
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