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Sav [38]
3 years ago
7

Can you please explain how to solve this?

Mathematics
1 answer:
BlackZzzverrR [31]3 years ago
7 0

Answer:

18

Step-by-step explanation:

hello,

as this is a parallelogram we can write that BE = DE so

15x + 4 = 9x + 6

<=> 15x - 9x + 4 = 6

<=> 6x = 6 - 4 = 2

<=> x = 2/6 = 1/3

so BE = DE = 15/3+4=5+4=9

so BD = BE + DE = 9 + 9 = 18

the correct answer is 18

hope this helps

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The division is 9. The dividend is 72 what is the quotient? <br><br><br><br> Helllllpppppp meeeeeeee
Nitella [24]

The quotient is 8.

Explanation: 72/9=8

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A map provided by an engineering firm has a scale of 1 inch to 2000 feet. If the distance from the starting point for a pipeline
8090 [49]

Answer:

27,000 feet

Step-by-step explanation:

Let x be the actual length of the pipeline, in feet.

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\displaystyle\\\frac{1}{2,000}=\frac{13.5}{x}

Cross-multiplying yields x=13.5\cdot 2,000=\boxed{27,000\text{ ft}}

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Will averages 18 points a game and is the all time leader on the team with 483 points. Tom averages 21 points a game is is curre
Katen [24]
7 games.
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A farmer raises cows and chickens. There are a total of 114 legs and 42 animals 4y = cow legs and 2x = chicken legs. how many co
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X+y=42, 4y+2x=114

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4 0
3 years ago
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Answer for all please
malfutka [58]

Answer:

a) 'X' be the random variable in discrete distribution

b) <em> The value of y = 0.2</em>

<em>c) The mean value or  Expectation value</em>

<em>E (X) = 1.25</em>

<em>d) </em>

<em>The variance σ² of the discrete distribution function is</em>

<em>Variance ( V(x)= 1.2875</em>

Step-by-step explanation:

<u><em>Step(i):-</em></u>

Given data

 x    :      0              1        2        3        4

P(x)  :     0.30      0.35      y      0.10   0.05

a)

  Let 'X' be the random variable in discrete distribution

 Given data is discrete distribution

<em>i) If the numbers </em>p(x_{i} )\geq 0  for all values of 'i'

ii) ∑P(x) = 1

Given data <em> </em>p(x_{i} )\geq 0  for all values of 'i'

∑P(x) = 1

0.30+0.35+y+0.10+0.05 =1

                  y + 0.8 = 1

                 y = 1 -0.8 = 0.2

<em>b) The value of y = 0.2</em>

<u><em>Step(ii):-</em></u>

<u><em>Expectation:</em></u>

Given data

 x    :      0              1          2        3        4

P(x)  :     0.30      0.35      0.2      0.10   0.05

<em>The mean value or  Expectation value</em>

<em>E (x) = ∑ x p ( X = x)</em>

<em>         =  0 × 0.30 + 1 × 0.35 + 2 × 0.2 + 3 × 0.10 + 4 × 0.05</em>

<em>        =     0 + 0.35 + 0.4 + 0.30 + 0.2</em>

<em>       =       1.25</em>

<u><em>Variance of X</em></u>

The variance σ² of the discrete distribution function is defined by

                σ²  = ∑ x² p(x=x) - μ²

                     = 0× 0.30 + 1² × 0.35 + 2²× 0.2 +3²× 0.10 + 4²× 0.05 - (1.25)²

                    = 0 + 0.35 + 0.8 + 0.9 + 0.8 - 1.5625

                   = 1.2875

<u><em>conclusion:-</em></u>

<em>The mean value or  Expectation value = 1.25</em>

<em>The variance σ² of the discrete distribution function</em>

<em>  V(X) = 1.2875</em>

   

3 0
3 years ago
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