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3 years ago

Can you please explain how to solve this?

Mathematics

1 answer:

BlackZzzverrR [31]3 years ago

7 0

Answer:

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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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

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Answer:

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3 years ago

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Answer for all please

malfutka [58]

Answer:

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

b) The value of y = 0.2

c) The mean value or Expectation value

E (X) = 1.25

d)

The variance σ² of the discrete distribution function is

Variance ( V(x)= 1.2875

Step-by-step explanation:

Step(i):-

Given data

x : 0 1 2 3 4

P(x) : 0.30 0.35 y 0.10 0.05

Let 'X' be the random variable in discrete distribution

Given data is discrete distribution

i) If the numbers $p(x_{i} )\geq 0$ for all values of 'i'

ii) ∑P(x) = 1

Given data $p(x_{i} )\geq 0$ 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

b) The value of y = 0.2

Step(ii):-

Expectation:

Given data

x : 0 1 2 3 4

P(x) : 0.30 0.35 0.2 0.10 0.05

The mean value or Expectation value

E (x) = ∑ x p ( X = x)

= 0 × 0.30 + 1 × 0.35 + 2 × 0.2 + 3 × 0.10 + 4 × 0.05

= 0 + 0.35 + 0.4 + 0.30 + 0.2

= 1.25

Variance of X

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

conclusion:-

The mean value or Expectation value = 1.25

The variance σ² of the discrete distribution function

V(X) = 1.2875

3 0

3 years ago