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Klio2033 [76]
3 years ago
6

ΔABC is similar to ΔPQR. AB⎯⎯⎯⎯⎯ corresponds to PQ⎯⎯⎯⎯⎯, and BC⎯⎯⎯⎯⎯ corresponds to QR⎯⎯⎯⎯⎯. If AB = 9, BC = 12, CA = 6, and PQ

= 3, what are the lengths of QR⎯⎯⎯⎯⎯ and RP⎯⎯⎯⎯⎯?
Mathematics
2 answers:
Bumek [7]3 years ago
6 0
QR = 4, RP = 2. Remember that fraction is also known as ratio. So use steps/formulas as per necessary. U can also use algebra ☺
igor_vitrenko [27]3 years ago
3 0

Answer:

/QR/ = 4 and /RP/ = 2.

Step-by-step explanation:

Comparing the two triangles,

\frac{/AB/}{/BC/} = \frac{/PQ/}{/QR/}

⇒ \frac{9}{12} = \frac{3}{/QR/}

   /QR/ = 4

Also,

  \frac{/AB/}{/AC/} = \frac{/PQ/}{/PR/}

⇒ \frac{9}{6} = \frac{3}{/PR/}

   /RP/ = 2

Therefore, /QR/ = 4, /RP/ = 2.

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5 hours because 20 divided by 4 is 5. 20 being the total hours.

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Pls help me with math asap pls no links thx
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Answer:

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Step-by-step explanation:

Divide 192 by 24 and you'll get 8 classes per grade as the answer

8 0
2 years ago
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According to the WHO MONICA Project the mean blood pressure for people in China is 128 mmHg with a standard deviation of 23 mmHg
Alja [10]

Answer:

a) Let X the random variable that represent the blood pressure for people of a population, and for this case we know the distribution for X is given by:

X \sim N(128,23)  

Where \mu=128 and \sigma=23

b) P(X\geq 135)=P(\frac{X-\mu}{\sigma}\geq \frac{135-\mu}{\sigma})=P(Z\geq \frac{135-128}{23})=P(Z\geq 0.304)

And we can find this probability using the complement rule:

P(Z\geq 0.304)=1-P(Z

And in order to find this probabilities we can use tables for the normal standard distribution, excel or a calculator.  

P(Z\geq 0.304)=1-P(Z

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Part a

Let X the random variable that represent the blood pressure for people of a population, and for this case we know the distribution for X is given by:

X \sim N(128,23)  

Where \mu=128 and \sigma=23

Part b

We are interested on this probability

P(X\geq 135)

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X\geq 135)=P(\frac{X-\mu}{\sigma}\geq \frac{135-\mu}{\sigma})=P(Z\geq \frac{135-128}{23})=P(Z\geq 0.304)

And we can find this probability using the complement rule:

P(Z\geq 0.304)=1-P(Z

And in order to find this probabilities we can use tables for the normal standard distribution, excel or a calculator.  

P(Z\geq 0.304)=1-P(Z

3 0
4 years ago
Maria is buying ribbon for wrapping presents. A large present requires 7.25 feet of ribbon, a medium present requires 5.75 feet,
Salsk061 [2.6K]

Answer:

91.25 ft

Step-by-step explanation:

do 5 times 7.25 = 36.25 ft

9 times 5.75 = 51.75ft

1 times 3.25 = 3.25ft

add alll them up to get 91.25 ft

8 0
4 years ago
Glenn and Maggie own a regional chain of juice bars and are looking to expand in the coming year. They already have fifty shops,
Vladimir79 [104]

Answer: A commercial bank.

if i could get brainliest that would be great

Step-by-step explanation:

Commercial banks are financial institutions whose functions, among many, are: offering banking services to individuals, groups and companies, to make profit. One of the roles performed by these types of financial institutions is to credit loans to individuals, small businesses, and other groups, and as such, they are the first line to which a small business, such as the one controlled by Glenn and Maggie, would go to, to request a loan to be able to open up their other branches. This bank would give them the loan and allow them to make profit, without having any ties to the banking institution, just as long as they return the investment given to them.

3 0
3 years ago
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