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Orlov [11]
3 years ago
13

A parabola can be represented by the equation y2 = –x. What are the coordinates of the focus and the equation of the directrix?

Mathematics
2 answers:
Vilka [71]3 years ago
8 0
(y-k)²=4p(x-h)
(h,k) is vertex
and since we got the y term squred, it is facing left or right
when p is positive, then focus is to right of veretx
p is distance from focus to vertex and from vertex to dirextix

y²=-x
(y-0)²=4(-1/4)(x-0)
vertex is (0,0)
p is negative so then focus to left of vertex
so the focus is (-1/4,0)
dirextix is x=1/4
Marysya12 [62]3 years ago
5 0

Answer:

The coordinates of the focus and equation of the directrix is (-\frac{1}{4}, 0) and x =\frac{1}{4} respectively.

Step-by-step explanation:

Consider the provided equation.

y^2 = -x

Rewrite the provided equation.

(y-0)^2 = 4\times\frac{-1}{4}(x-0)

The standard equation of parabola is (y - k)^2 = 4p (x - h) where the focus is (h + p, k) and the directrix is x = h - p.

By comparison we get:

Vertex is (0,0) and p=-\frac{1}{4}

Focus is:(0 + \frac{-1}{4}, 0)

Focus is:(-\frac{1}{4}, 0)

Directrix x = 0 - \frac{-1}{4}

Directrix x =\frac{1}{4}

Hence, the coordinates of the focus and equation of the directrix is (-\frac{1}{4}, 0) and x =\frac{1}{4} respectively.

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C = 10.05

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Step-by-step explanation:

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Let X denote the time in minutes (rounded to the nearest half minute) for a blood sample to be taken. The probability mass funct
Basile [38]

This question is incomplete, the complete question is;

Let X denote the time in minutes (rounded to the nearest half minute) for a blood sample to be taken. The probability mass function for X is:

x     0       0.5       1       1.5       2       2.5

f(x)  0.1     0.2     0.3    0.2     0.1       0.1

determine;

a) P( X < 2.5 )

B) P( 0.75 < X ≤ 1.5 )

Answer:

a) P( X < 2.5 ) = 0.9

b) P( 0.75 < X ≤ 1.5 ) = 0.5

Step-by-step explanation:

Given the data in the question;

The probability mass function for X is:

x     0       0.5       1       1.5       2       2.5

f(x)  0.1     0.2     0.3    0.2     0.1       0.1

a) P( X < 2.5 )

P( X < 2.5 ) = p[ x = 0 ] + p[ x = 0.5 ] + p[ x = 1 ] + p[ x = 1.5 ] + p[ x = 2 ]

so

P( X < 2.5 ) = 0.1 + 0.2 + 0.3 + 0.2 + 0.1

P( X < 2.5 ) = 0.9

b) P( 0.75 < X ≤ 1.5 )

P( 0.75 < X ≤ 1.5 ) = p[ x = 1 ] + p[ x = 1.5 ]

so

P( 0.75 < X ≤ 1.5 ) = 0.3 + 0.2

P( 0.75 < X ≤ 1.5 ) = 0.5

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