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AURORKA [14]
2 years ago
8

The length of a rectangle is 5cm more than its breadth . if the perimeter of the rectangle is 40 cm , find the dimensions f the

rectangle ​
Mathematics
2 answers:
PolarNik [594]2 years ago
8 0

Step-by-step explanation:

find

length and the breath

<h2> given</h2>

<h2>solution </h2>

length = x +5

<h2>perimeter 2 L+ B</h2>

<h3>2 x + x = 40</h3>

2 x + 5 = 40 / 2

2x + 5 = 20

2 x = 20 -5

2 x + 15

x = 15 /2

please mark me as brainlist

mezya [45]2 years ago
5 0
<h3>Answer :- </h3>

  • 7.5 cm

<h3>Solution :- </h3>

  • Let the breadth of the rectangle be x cm

  • length of the rectangle = ( x + 5 ) cm
  • perimeter of the rectangle= 2( l + b )

  • 2 ( x + x + 5 ) cm
  • 2 ( 2x + 5 ) cm
  • ( 4x + 10 ) cm

<em><u>Transpose </u></em><em><u>1</u></em><em><u>0</u></em><em><u> </u></em><em><u>to </u></em><em><u>RHS </u></em>

  • <em>therefore</em><em> </em><em>,</em><em> </em>
  • 4x +<em> </em>10 = 40
  • 4 x = 40 - 10
  • x = 30 / 4 = 67.5

  • Length of the rectangle = x + 5 = 7.5 + 5 = 12.5
  • Breadth of the rectangle = x = 7.5 cm

<em>Hope </em><em>it </em><em>helps </em><em>!</em><em>!</em><em> </em>

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The probability mass function of X is f(x)= 1/6, x 1.2...,6 then find out the value
Mumz [18]

For the given probability mass function of X, the mean is 3.5 and the standard deviation is 1.708.

  • A discrete random variable X's probability mass function (PMF) is a function over its sample space that estimates the likelihood that X will have a given value. f(x)=P[X=x].
  • The total of all potential values for a random variable X, weighted by their relative probabilities, is known as the mean (or expected value E[X]) of that variable.
  • Mean(μ) = 1(1/6) + 2(1/6) + 3(1/6) + 4(1/6) + 5(1/6) + 6(1/6).
  • Mean(μ) = (1+2+3+4+5+6)/6
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  • The square root of the variance of a random variable, sample, statistical population, data collection, or probability distribution represents its standard deviation. It is denoted by 'σ'.
  • A random variable's variance (or Var[X]) is a measurement of the range of potential values. It is, by definition, the squared expectation of the distance between X and μ. It is denoted by 'σ²'.
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  • σ² = [(1² + 2²+ 3² + 4²+ 5²+ 6²)/6] - (3.5)²
  • σ² = [(1 + 4 + 9 + 16 + 25 + 36)/6] - (3.5)²
  • σ² = (91/6) - (3.5)²
  • σ² = 15.167-12.25
  • σ² = 2.917
  • σ = √2.917
  • Standard deviation (σ) = 1.708

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2 years ago
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Answer: im pretty sure its 5 to the second power so the third one

Step-by-step explanation:

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Sedbober [7]

Answer:

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Step-by-step explanation:

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