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jorge scott

jorge s.

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What is the maximal length of a codeword possible in a Huffman encoding of an alphabet of n symbols? Group of answer choices logn n/2 n-1 n

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When you hang a 100 g mass from a spring, the spring stretches 2 cm. If you remove the 100 g mass and hang another object of unknown mass, the spring stretches 6 cm. What is the mass of the object? (Assume the spring obeys Hooke’s law and doesn’t stretches beyond its elastic limit).

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8. Replace the circuit between A and B with a voltage source in series with a single resistor using source transformation.

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The monthly sales of a tuck shop decreased by \( 25 \% \) from two months ago to last month and increased by \( 18 \% \) from last month to this month. If the monthly sales this month is \( \$ 7292.4 \), find the monthly sales two months ago.

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What goes in blank B? Movies Total Utility (TU) Marginal Utility (MU) 0 0 A 1 30 B 2 55 C

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can automated OSINT tools balance the need for efficient data collection with the accuracy of reliability of the information? How might this be achieved?

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When the government imposes a magazine tax of $0.10 per magazine on buyers, the tax reduces the\\ for buyers. Now, buyers are willing to buy a given quantity of magazines only if the sale price before tax is\\ prices; similar to the price without a magazine tax prices; lower by $0.10 per magazine marginal benefits; similar to the price without a magazine tax marginal benefits; lower by $0.10 per magazine

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d) The estimates of the model Y_(i)=eta _(0)+eta _(1)x_(1i)+eta _(2)x_(2i)+epsi _(i) are presented below. Assume that you divide the variables Y and x_(l) by 10 and make no changes to x_(2). You estimate the model again using the scaled variables Y and x_(1). Referring to the Stata output above, explain which changes you expect to see on the estimated coefficients (including the constant), the estimated standard errors, the t-statistics, probability values and the goodness of fit of the model. d) The estimates of the model Y; = o + X + Xi + &; are presented below. Source ss dp MS Number of obs F(2,47) Prob > F R-squared Adj R-squared Root MSE 50 20.47 0.0000 0.4655 0.4428 33.269 = Model Residual 45310.4785 52019.7006 2 22655.2393 47 1106.80214 Total 97330.1792 49 1986.33019 Y Coefficient Std.err. t P>|t| [95% conf.interval] X1 X2 _cons .0266161 1.137443 61.85654 .0139976 .2608716 6.394451 1.90 4.36 9.67 0.063 0.000 0.000 -.0015435 .612637 48.99256 .0547758 1.662249 74.72051 Assume that you divide the variables Y and X by 10 and make no changes to X2. You estimate the model again using the scaled variables Y and X.. Referring to the Stata output above, explain which changes you expect to see on the estimated coefficients (including the constant), the estimated standard errors, the t-statistics, probability values and the goodness of fit of the model.

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If a rock is thrown vertically upward from the surface of Mars with velocity of 20 m/s, its height (in meters) after t seconds is $h = 20t - 1.86t^2$. (a) What is the velocity (in m/s) of the rock after 1 s? 16.28 m/s (b) What is the velocity (in m/s) of the rock when its height is 15 m on its way up? On its way down? (Round your answers to two decimal places.) up -8.07 m/s down m/s

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2. Consider a system which is initially in the state $\begin{pmatrix} 4-i \\ -2+5i \\ 3+2i \end{pmatrix}$ and having a Hamiltonian given by $\hat{H} = \frac{1}{\sqrt{2}} \begin{bmatrix} 0 & -i & 0 \\ i & 3 & 3 \\ 0 & 3 & 0 \end{bmatrix}$ (a) What condition must $\hat{H}$ satisfy? (b) If a measurement of $\hat{H}$ is carried out, what values will we obtain and with what probabilities? (c) Find the state of the system at a later time t. (d) Find the total energy of the system at t = 0 and any late time t by matrix algebra. Are these values different?

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