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Taya2010 [7]
3 years ago
11

What is another way to write this number (3x1000) + (3x10) + (3x1/100) + ( 3x 1/1000)

Mathematics
1 answer:
Nana76 [90]3 years ago
5 0
You need to add the sum in order to find the answer

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The RF is 9. You could go to Easycalculations.com/statics/cumulative/relativefrequency to double check :)
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What is (3x+6y-4)+2(x-6) simplified
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5x+6y-16

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Need help!!! solve for p) n = <br>(p-k)<br> ------<br> j<br><br>Sorry for the terrible fraction
almond37 [142]

Answer:

nj +k = p

Step-by-step explanation:

n = (p-k)/j

Multiply each side by j

nj = (p-k)/j *j

nj = p-k

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nj +k p-k+k

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2 years ago
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Complete each statement. An event with a probability of 0 is An event with a probability of 1 is
BaLLatris [955]

Answer:

An event with a probability of 0 is impossible.  

An event with a probability of 1 is certain.

Step-by-step explanation:

Probability is typically expressed in terms of a fraction between 0 and 1 where the denominator is the total number of outcomes and the numerator is the number of desired outcomes.  Since probability is expressed as a fraction, if the probability is 0, that means it is impossible, or there is no chance that the event can happen.  However, if the probability is 1, that means that the event is certain to happen and the odds are completely in your favor that the event will happen.  

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3 years ago
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A source of information randomly generates symbols from a four letter alphabet {w, x, y, z }. The probability of each symbol is
koban [17]

The expected length of code for one encoded symbol is

\displaystyle\sum_{\alpha\in\{w,x,y,z\}}p_\alpha\ell_\alpha

where p_\alpha is the probability of picking the letter \alpha, and \ell_\alpha is the length of code needed to encode \alpha. p_\alpha is given to us, and we have

\begin{cases}\ell_w=1\\\ell_x=2\\\ell_y=\ell_z=3\end{cases}

so that we expect a contribution of

\dfrac12+\dfrac24+\dfrac{2\cdot3}8=\dfrac{11}8=1.375

bits to the code per encoded letter. For a string of length n, we would then expect E[L]=1.375n.

By definition of variance, we have

\mathrm{Var}[L]=E\left[(L-E[L])^2\right]=E[L^2]-E[L]^2

For a string consisting of one letter, we have

\displaystyle\sum_{\alpha\in\{w,x,y,z\}}p_\alpha{\ell_\alpha}^2=\dfrac12+\dfrac{2^2}4+\dfrac{2\cdot3^2}8=\dfrac{15}4

so that the variance for the length such a string is

\dfrac{15}4-\left(\dfrac{11}8\right)^2=\dfrac{119}{64}\approx1.859

"squared" bits per encoded letter. For a string of length n, we would get \mathrm{Var}[L]=1.859n.

5 0
2 years ago
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