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dedylja [7]
3 years ago
15

Whats the answer to this numeric algebraic expression

Mathematics
1 answer:
Degger [83]3 years ago
4 0

Answer:

a+b+2

Step-by-step explanation:

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Graph f(x)= -(x-2)²+4<img src="https://tex.z-dn.net/?f=" id="TexFormula1" title="" alt="" align="absmiddle" class="latex-formula
Mandarinka [93]

Answer: See the graph attached.

Step-by-step explanation:

The standard form of a quadratic function is:

f(x)=a(x-h)+k

Where (h,k) is the vertex of the parabola.

If a is negative, then the parabola opens down.

Then, for the function:

f(x)=-(x-2)^2+4

You can identify:

h=2\\k=4

Then the  vertex of the parabola is at (2,4)

Note that a=-1, therefore the parabola opens down.

Find the intersection with the x-axis. Substitute f(x)=0 and solve for x:

0=-(x-2)^2+4\\0=x^2-4x\\0=x(x-4)\\\\x_1=0\\x_2=4

Knowing that the vertex is at (2,4), the parabola opens down and it intersects the x-axis at x=0 and x=4, you can graph the function, as you observe in the figure attached.

7 0
4 years ago
Area of a circle with a diameter of
ivann1987 [24]
The diameter is the radius ×2
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4 years ago
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Paha777 [63]
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4 years ago
Suppose that the distance, in miles, that people are willing to commute to work is an exponential random variable with a decay p
garik1379 [7]

Answer:

  • <em>m</em> = \frac{1}{20}
  • <em>μ</em> = 20
  • <em>σ </em>= 20

The probability that a person is willing to commute more than 25 miles is 0.2865.

Step-by-step explanation:

Exponential probability distribution is used to define the probability distribution of the amount of time until some specific event takes place.

A random variable <em>X</em> follows an exponential distribution with parameter <em>m</em>.

The decay parameter is, <em>m</em>.

The probability distribution function of an Exponential distribution is:

f(x)=me^{-mx}\ ;\ m>0, x>0

<u>Given</u>: The decay parameter is, \frac{1}{20}

<em>X</em> is defined as the distance people are willing to commute in miles.

  • The decay parameter is <em>m</em> = \frac{1}{20}.
  • The mean of the distribution is: \mu=\frac{1}{m}=\frac{1}{\frac{1}{20}}=20.
  • The standard deviation is: \sigma=\sqrt{variance}= \sqrt{\frac{1}{(m)^{2}} } =\frac{1}{m} =\frac{1}{\frac{1}{20}} =20

Compute the probability that a person is willing to commute more than 25 miles as follows:

P(X>25)=\int\limits^{\infty}_{25} {\frac{1}{20} e^{-\frac{1}{20}x}} \, dx \\=\frac{1}{20}|20e^{-\frac{1}{20}x}|^{\infty}_{25}\\=|e^{-\frac{1}{20}x}|^{\infty}_{25}\\=e^{-\frac{1}{20}\times25}\\=0.2865

Thus, the probability that a person is willing to commute more than 25 miles is 0.2865.

7 0
4 years ago
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