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cynthia mu-oz

cynthia m.

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Question 15 (3 points) Saved Measuring height in inches rather than centimeters and weight in pounds rather than kilograms does not change the correlation between height and weight. True False

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The social contract which suggests that citizens obey laws or follow rules in exchange for protection was developed by which philosopher? Group of answer choices Hobbes Rousseau Smith

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. 0.01 kg of a gas at a pressure of 860 kPa and temperature of 320 K expands polytropic ally in a cylinder‑piston arrangement to a pressure of 170 kPa and a volume of 0.004 m3.

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Lucy feels worthless and extremely sad. She has had crying spells that do not stem from any particular event. Life seems uninteresting and colorless. Lucy's symptoms illustrate the ____. behavioral symptoms of depression affective symptoms of depression physiological symptoms of depression cognitive symptoms of mania

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A monoatomic ideal gas undergoes a cycle. The gas is initially at pressure $P_1 = 80$ kPa and volume $V_1 = 4$ lt. During the first leg of the cycle (1→2), the gas expands so that P is linearly proportional to V until the volume doubles and the pressure $P_2 = 120$ kPa. In the second leg of the cycle (2→3), the pressure remains constant while the volume increases to $V_3 = 16$ lt. In the third leg of the cycle (3→4) the pressure the gas decreases to $P_4 = 20$ kPa at constant volume. In the last leg of the cycle (4→1) the gas is compressed back to its initial volume while keeping the temperature constant at 400 K. 1. Sketch the P vs. V diagram of the cycle

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3.1. vin 100nF Fig.1 + R1 vout 3.1.1. Consider the circuit in Fig. 1. Derive the numerical expression of the transfer function $H(s) = \frac{V_{out}(s)}{V_{in}(s)}$ for R1=100k? and R1=10k?. Then find H(j?) and cut-off frequencies (fc). Comment on the filtering characteristics of the input\textendash output relationship. 3.1.2. Using MATLAB, write a code that find the cut-off frequencies (fc) from H (s). 3.1.3. Using MATLAB, plot bode diagram of systems in logarithmic scale (for 2 different R1 values in same graph). Show cut-off frequencies in graph. (In terms of Hz)

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Please indicate which of the EIGHT images best represents the impact on the corn market when the following TWO changes occur: Popcorn has become more popular. A new technology can triple corn production. The impact on the demand is smaller than the impact on the supply. Two_Changes Question 10 options: A) Option A: D↑>S↑ B) Option B: D↑S↓ D) Option D: D↓S↓ F) Option F: D↑S↑ H) Option G: D↓

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If the price of movie tickets doubles, then A) the demand for DVDs is likely to increase. B) the quantity of movie tickets sold is likely to increase. C) the price of DVDs is likely to decrease. D) the quantity of popcorn sold at the movies is likely to increase.

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3. How does lateral acceleration - side forces experienced in turns that are largely under driver control - affect nausea as perceived by bus passengers? The article \"Motion Sickness in Public Road Transport: The Effect of Driver, Route, and Vehicle\" (Ergonomics, 1999: 1646-1664) reported data on $x$ = motion sickness dose (calculated in accordance with a British standard for evaluating similar motion at sat) and $y$ = reported nausea (%). Values of dose in the sample ranged from 6.0 to 17.6. Regression Analysis: y versus x The regression equation is y = -8.715 + 1.536*x Predictor\tCoef\tStandard Error\tT-statistic\tProb>|T| Intercept\t-8.715\t5.687\t-1.533\t0.146 x\t1.536\t0.424\t3.622\t0.003 R-Sq = 46.7%\tRoot MSE = 5.280 a. What is the sample size $n$ here? b. Assuming that the simple linear regression model is valid for relating these two variables (this is supported by the raw data), interpret the estimate of the slope parameter. Calculate the 95% CI for the slope. c. Does the fitted model imply the true slope is significantly different from 0.5? What is the approximate $p$-value? d. Would it be sensible to use the simple linear regression model as a basis for predicting % nausea when dose is 5.0? Explain your reasoning. e. Suppose we observe $y = 0.80$ at $x = 30\%$ in the data. What value of wear loss would you predict when content is 30%, and what is the value of the corresponding residual observed?

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2. (35 pts) Use more detail programming to compress some pages of English sentences by using greedy algorithm: (a) Draw a Huffman encoding tree for the following 10 characters with their frequencies: A (13), B(11), C(15), D(9), E(18), F(16), G(20), H(30), period(12), comma(10) (b) How many minimum number of bits can you represent the above characters? (c) Write a detail level of pseudocodes to process the Huffman encoding function. (You may use any language; You decide the number of bits representation.)

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