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worty [1.4K]
4 years ago
6

(-5/6) + c = (-11/12)

Mathematics
2 answers:
melomori [17]4 years ago
7 0
Remember you can do anything to an equation as long as you doit t both sides

-5/6+c=-11/12
add 5/6 to both sides
5/6-5/6+c=-11/12+5/6
0+c=-11/12+5/6
c=-11/12+5/6
how do we add?
we make same denomenator

11/12 and 5/6
6 times 2=12 so
5/6 times 2/2=10/12

c=-11/12+5/6
c=-11/12+10/12
c=-1/12
rosijanka [135]4 years ago
4 0
<span>(-5/6) + c = (-11/12)
c=-11\12+5\6
c=19\12 or 1 7\12</span>
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If f(x) and f^-1(X) are inverse functions of each other and f(x)=2x+5, what I f^-1(8)
podryga [215]

Answer: 3/5

Step-by-step explanation:

First, you need to find the inverse of f(x)=2x+5 .

f-1(x)= \frac{x}{2} -\frac{5}{2}

Then, you'd plug in 8 into that equation, which I got \frac{3}{5\\}

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Let Y1 and Y2 be independent exponentially distributed random variables, each with mean 7. Find P(Y1 &gt; Y2 | Y1 &lt; 2Y2). (En
ArbitrLikvidat [17]

<em>Y</em>₁ and <em>Y</em>₂ are independent, so their joint density is

f_{Y_1,Y_2}(y_1,y_2)=f_{Y_1}(y_1)f_{Y_2}(y_2)=\begin{cases}\frac1{49}e^{-\frac{y_1+y_2}7}&\text{for }y_1\ge0,y_2\ge0\\0&\text{otherwise}\end{cases}

By definition of conditional probability,

P(<em>Y</em>₁ > <em>Y</em>₂ | <em>Y</em>₁ < 2 <em>Y</em>₂) = P((<em>Y</em>₁ > <em>Y</em>₂) and (<em>Y</em>₁ < 2 <em>Y</em>₂)) / P(<em>Y</em>₁ < 2 <em>Y</em>₂)

Use the joint density to compute the component probabilities:

• numerator:

P((Y_1>Y_2)\text{ and }(Y_1

=\displaystyle\frac1{49}\int_0^\infty\int_{\frac{y_1}2}^{y_1}e^{-\frac{y_1+y_2}7}\,\mathrm dy_2\,\mathrm dy_1

=\displaystyle-\frac17\int_0^\infty\int_{-\frac{3y_1}{14}}^{-\frac{2y_1}7}e^u\,\mathrm du\,\mathrm dy_1

=\displaystyle-\frac17\int_0^\infty\left(e^{-\frac{2y_1}7} - e^{-\frac{3y_1}{14}}\right)\,\mathrm dy_1

=\displaystyle-\frac17\left(-\frac72e^{-\frac{2y_1}7} + \frac{14}3 e^{-\frac{3y_1}{14}}\right)\bigg|_0^\infty

=\displaystyle-\frac17\left(\frac72 - \frac{14}3\right)=\frac16

• denominator:

P(Y_1

(I leave the details of the second integral to you)

Then you should end up with

P(<em>Y</em>₁ > <em>Y</em>₂ | <em>Y</em>₁ < 2 <em>Y</em>₂) = (1/6) / (2/3) = 1/4

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3 years ago
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solong [7]

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The answer is "0.5".

Step-by-step explanation:

Given:

\to \lim_{x\to 2}  \frac{(\sqrt{(6-x)}-2)}{(\sqrt{(3-x)}-1)}\\\\ \to \lim_{x\to 2}  \frac{\frac{d(\sqrt{(6-x)}-2)}{dx}}{\frac{(\sqrt{(3-x)}-1)}{dx}}\\\\

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3 years ago
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