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ss7ja [257]
3 years ago
8

What is the value of x? enter your answer in the box. units triangle a p r with line segment c d parallel to segment a p with c

between a and r and d between p and r. a c equals 10. c r equals x. p d equals 15. d r equals 42?

Mathematics
2 answers:
Natasha2012 [34]3 years ago
7 0

Answer:

The answer is 28

Step-by-step explanation:

15 divided by 10 is 1.5,

42 divided by 1.5 equals 28,

hence the answer is 28.

galben [10]3 years ago
5 0

Answer: x = 28 unit

Step-by-step explanation:

Here, In triangle APR,

CD ║ AP,

Such that, C ∈ AR and D ∈ PR,

Also, AC = 10 unit, CR = x unit, PD = 15 unit and DR = 42 unit,

Since, CD ║ AP,

Thus, by the alternative interior angle theorem,

\angle APR\cong \angle CDR

\angle PAR\cong \angle DCR

Thus, By AA similarity postulate,

\triangle APR\sim \triangle CDR

Since, the corresponding sides of the similar triangle are in same proportion,

\implies \frac{AR}{CR}=\frac{PR}{DR}

\implies \frac{AC+CR}{CR}=\frac{PD+DR}{DR}

\implies \frac{10+x}{x}=\frac{15+42}{42}

\implies 420 + 42 x = 15 x + 42 x

\implies 420 = 57 x - 42 x

\implies 420 = 15 x\implies 28 = x

Hence, the value of x = 28.

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Answer:

the answer is 9x^3 - 6x^2 + 3x

Step-by-step explanation:

take each number with variable and divided by 3x

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3 years ago
How do you know that 5,7,8,9,10 and 11 are not factors of 12
-Dominant- [34]

you cannot multiply any of the numbers above by another to get 12, the factors of 12 would be 1,2,3,4,6,12 1x12= 12 2x6=12 4x3=12

5 0
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Can somebody please help me with these two questions?
vovikov84 [41]
The answer to 25. is A
and 
to 26. is C (I'm not sure on this one but i think this is the answer)
6 0
3 years ago
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In your own words, describe the difference between correlation and causation. Give an example (not given in the content) of two
Semmy [17]

The difference between causation and correlation is that, Causation is characterized by cause-and-effect while correlation establishes a probable relationship.

<h3>What is the difference between Causation and correlation?</h3>

While Causation is characterized by a situation in which an action certainly causes an outcome and hence, is described as a cause-and-effect relationship, Correlation on the other hand only establishes a relationship between the two events and doesn't necessarily ascertain the occurrence of the other event .

An example of two variables which may be correlated is; the height and weight of an individual in which case it is generally perceived that taller people are heavier.

Read more on correlation and causation;

brainly.com/question/964703

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4 0
2 years ago
A fair coin is to be tossed 20 times. Find the probability that 10 of the tosses will fall heads and 10 will fall tails, (a) usi
lbvjy [14]

Using the distributions, it is found that there is a:

a) 0.1762 = 17.62% probability that 10 of the tosses will fall heads and 10 will fall tails.

b) 0% probability that 10 of the tosses will fall heads and 10 will fall tails.

c) 0.1742 = 17.42% probability that 10 of the tosses will fall heads and 10 will fall tails.

Item a:

Binomial probability distribution

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

C_{n,x} = \frac{n!}{x!(n-x)!}

The parameters are:

  • x is the number of successes.
  • n is the number of trials.
  • p is the probability of a success on a single trial.

In this problem:

  • 20 tosses, hence n = 20.
  • Fair coin, hence p = 0.5.

The probability is <u>P(X = 10)</u>, thus:

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 10) = C_{20,10}.(0.5)^{10}.(0.5)^{10} = 0.1762

0.1762 = 17.62% probability that 10 of the tosses will fall heads and 10 will fall tails.

Item b:

In a normal distribution with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

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

  • It 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, which is the percentile of X.
  • The binomial distribution is the probability of <u>x successes on n trials, with p probability</u> of a success on each trial. It can be approximated to the normal distribution with \mu = np, \sigma = \sqrt{np(1-p)}.

The probability of an exact value is 0, hence 0% probability that 10 of the tosses will fall heads and 10 will fall tails.

Item c:

For the approximation, the mean and the standard deviation are:

\mu = np = 20(0.5) = 10

\sigma = \sqrt{np(1 - p)} = \sqrt{20(0.5)(0.5)} = \sqrt{5}

Using continuity correction, this probability is P(10 - 0.5 \leq X \leq 10 + 0.5) = P(9.5 \leq X \leq 10.5), which is the <u>p-value of Z when X = 10.5 subtracted by the p-value of Z when X = 9.5.</u>

X = 10.5:

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

Z = \frac{10.5 - 10}{\sqrt{5}}

Z = 0.22

Z = 0.22 has a p-value of 0.5871.

X = 9.5:

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

Z = \frac{9.5 - 10}{\sqrt{5}}

Z = -0.22

Z = -0.22 has a p-value of 0.4129.

0.5871 - 0.4129 = 0.1742.

0.1742 = 17.42% probability that 10 of the tosses will fall heads and 10 will fall tails.

A similar problem is given at brainly.com/question/24261244

6 0
3 years ago
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