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abruzzese [7]
3 years ago
10

I need help as soon as possible at 20 points ​

Mathematics
1 answer:
valina [46]3 years ago
4 0

9514 1404 393

Answer:

  (15/14)² = 225/196

Step-by-step explanation:

Evaluating the expressions inside parentheses, we can see they are the same, eliminating a bit of work.

  (\frac{5}{7}\times\frac{3}{2})^5\div(\frac{5}{2}\times\frac{3}{7})^3=(\frac{15}{14})^5\div(\frac{15}{14})^3=(\frac{15}{14})^{5-3}=\boxed{(\frac{15}{14})^2=\frac{225}{196}}

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Find the value of x. Round to the nearest tenth <br> A. 11.0<br> B. 8.1<br> C. 15.3<br> D. 24.5
mel-nik [20]

Answer:

x = 11.0

Step-by-step explanation:

b = √c2 - a2

= √132 - 6.88895043503172

= √121.54236190368

= 11.02463

5 0
4 years ago
Distribute -(-4v+6.3w-9.8)
Firdavs [7]

Answer:

4v-6.3w+9.8

Step-by-step explanation:

If you distribute the negative sign (same as distributing -1), then you get -(-4v) + (-6.3w) - (-(9.8))

Basically it's switching the signs

Hope that helped :)

3 0
3 years ago
Help pleaseeeeeeeeeee
Vladimir [108]
6x^2-6x+5 would be the correct answer
3 0
3 years ago
Which of the following equations is equivalent to x - y = 5?
Butoxors [25]
Y= x-5 is equivelent to the equation
4 0
3 years ago
Read 2 more answers
The number of accidents that occur at a busy intersection is Poisson distributed with a mean of 4.5 per week. Find the probabili
Mariana [72]

Answer:

a) 0.01111

b) 0.4679

c) 0.33747

Step-by-step explanation:

We are given the following in the question:

The number of accidents per week can be treated as a Poisson distribution.

Mean number of accidents per week = 4.5

\lambda= 4.5

Formula:

P(X =k) = \displaystyle\frac{\lambda^k e^{-\lambda}}{k!}\\\\ \lambda \text{ is the mean of the distribution}

a) No accidents occur in one week.

P(x =0)\\\\= \displaystyle\frac{4.5^0 e^{-4.5}}{0!}= 0.01111

b) 5 or more accidents occur in a week.

P( x \geq 5) = 1-\displaystyle \sum P(x

c) One accident occurs today.

The mean number of accidents per day is given by

\lambda = \dfrac{4.5}{7} = 0.64

P(x =1)\\\\= \displaystyle\frac{0.64^1 e^{-0.64}}{1!}= 0.33747

5 0
3 years ago
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