1. In a study of ground motion caused by earthquakes, the velocity (in m/s) and the acceleration (in) were recorded for five earthquakes. The results are presented in the following table and compute the variance and standard deviation of the acceleration of these samples and explain their meaning. Velocity 1.54 1.60 0.95 Acceleration 5.64 6.04 6.04 1.3 2.92 4.37 3.00

1. In a study of ground motion caused by earthquakes, the velocity (in m/s) and the acceleration (in) were recorded for five earthquakes. The results are presented in the following table and compute the variance and standard deviation of the acceleration of these samples and explain their meaning. Velocity 1.54 1.60 0.95 Acceleration 5.64 6.04 6.04 1.3 2.92 4.37 3.00

Elements Of Electromagnetics

7th Edition

ISBN:9780190698614

Author:Sadiku, Matthew N. O.

Publisher:Sadiku, Matthew N. O.

ChapterMA: Math Assessment

Section: Chapter Questions

Problem 1.1MA

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Dr. Brown has built a 94 cm pendulum and pulled the pendulum 25° from vertical and then measured the period of 30 consecutive swings. The data is shown below. How do you interpret the uncertainties involved in this data? Period of Dr. Brown's pendulum Period of swing (s) 1.98 1.978 1.976 1.974 1.972 1.97 1.968 1.966 1.964 0 10 20 Number of swings since release 30 O Some random effect lowers the period of the pendulum by about 0.01 s in between the first and last data point. O The random uncertainty starts large (approximately 0.03 s) but decreases quickly until it is immeasureably small by the end of the data set. O Some systematic effect lowers the period of the pendulum by about 0.01 s in between the first and last data point. O The systematic uncertainty starts large (approximately 0.01 s) but decreases quickly until it immeasurably small by the end of the data set.
Lab 2-Measurement Asynch - Tagged.pdf Page 4 of 7 ? Part I: Taking Measurements & Estimating Uncertainties for a single measurement www.stefanelli.eng.br The mass of the object is_ 0 i Parts on a tripie peam palance 0 0 10 20 30 1 100 2 3 40 200 4 +/- 50 60 70 5 300 7 400 80 Qv Search 8 90 9 500 100 9 10 g www.stefanelli.eng.br
4. It is determined that an experimental data taken for T as a function of time, is a first order system, following the trend line of y = yoe. The data taken for various times is shown in table below. Approximate the time constant for this experiment. Show your work. T 0.00 0.50 3.00 5.00 5.50 6.00 6.50 7.00 7.50 11.00 14.00 17.00 22.00 25.00 Y 23.00 22.43 20.13 18.81 18.54 18.29 18.05 17.84 17.63 16.57 16.01 15.64 15.31 15.20
Table 1 shows the variation of dynamic viscosities of water with absolute temperature. Table 1: Dynamic viscosity of water with absolute temperature. Viscosity µ, Pa.s x 10-³ 1.787 Temperature, K 273.15 278.15 283.15 293.15 303.15 1 313.15 333.15 353.15 373.15 4G 1.519 1.307 1.002 0.7975 0.6529 0.4665 0.3547 0.2828 a) Using excel software, develop a relationship of for viscosity in the form of μ=A+BT+CT² + DT³ + ET. Done Show your trend line regression and standard deviation for linear and polynomial index (quadratic T², cubic T³ and T). b) Using the relationship developed, predict the dynamic viscosity of water at 50 °C at which the reported value is 5.468 x 10 Pa.s. Compare your result with the results of Andrade's equation which is given in the form of μ = D.e BT where D and B are constants whose values are to be determined using viscosity data given.
Cardiologists use the short-range scaling exponent α1, which measures the randomness of heart rate patterns, as a tool to assess risk of heart attack. The article “Applying Fractal Analysis to Short Sets of Heart Rate Variability Data” compared values of α1 computed from long series of measurements (approximately 40,000 heartbeats) with those estimated from the first 300 beats to determine how well the long-term measurement (y) could be predicted the short-term one (x). Following are the data (obtained by digitizing a graph). Short Long 0.54 0.55 1.02 0.79 1.4 0.81 0.88 0.9 1.68 1.05 1.16 1.05 0.82 1.05 0.93 1.07 1.26 1.1 1.18 1.19 0.81 1.19 0.81 1.2 1.28 1.23 1.18 1.23 0.71 1.24 Note: This problem has a reduced data set for ease of performing the calculations required. This differs from the data set given for this problem in the text. Compute the least-squares line for predicting the long-term measurement from the short-term measurement.…
The following diagram illustrates measurements that 145.0 L 0 d. Q Joom ма 8-42.00 で how equal to I'm in Thermal conductivity. materi di L M Heat Flow ? b. 3.24 kW N 0 d २ R I. thermal Resistance 17 a. 0.80 KW b. none OF c. 9.25 KIKW d. 1.08 e. K| kw 0.68 44.12 KW 37.5 KW M R 1.0m the above d mall a. decrease b. unchanged c. increase the walls side is exposed to temperatures of 5000 upper while its lower siche is exposed to unidirectional heat flow in Assume steady state, radiation and Convectim heat effects. 20°C. y direction Neglect none of IF antract reere tance heat N S 1.0m op the above a row of bricks, an taking thicknees Bricks k (kw/m-k) Flow? 0.50 0.25 0-50 0-80 0.4⁰ 0.50 0.25 0.50 • not neglighe, what happen to overall d. inereact then decrease e increase / decrease depending on value of Contact resistance
Designing safe boilers depends on knowing how steam behaves under certain changes in temperature and pressure. Steam tables, such as the one below, are published giving values of the function V = f(T, P) where V is the volume (in cubic feet) of one pound of steam at a temperature of T (in degrees Fahrenheit) and pressure P (in pounds per square inch). T//P 480 500 520 540 20 22 24 26 27.85 25.31 23.19 21.39 28.46 25.86 23.69 21.86 29.06 26.41 24.20 22.33 29.66 26.95 24.70 22.79 a) Find the tangent plane to V = f(T, P) for T near 520°F and P near 24 lb/in². [Hint: Use the tables to approximate your partial derivatives and recall the equation of our tangent plane is: V = VT(T − To) + Vp(P - Po) + f(T, P) ] b) Use the tangent plane to estimate the volume of a pound of steam at a temperature of 525°F and P near 24.3 lb/in².
Stress, a (MPa) Strain, e (x10* m/m) Yong Modulus, E (GPa) 3.963 40.0 99.1 7.926 75.0 106 11.89 105.0 113.2 1.85 122.0 130.0 19.81 144,0 137.6 Table 2 Stress and Strain 3|Page Dissections 1. Draw the graph of stress against strain 2. Discusses the obtained results 3. From the graph find. stress ? Yong Modulus, E? 4. Why Compression test is important in industry ?
The following table lists temperatures and specific volumes of water vapor at two pressures: p = 1.5 MPa v(m³/kg) p = 1.0 MPa T ("C) v(m³/kg) T ("C) 200 0.2060 200 0.1325 240 280 0.2275 0.2480 240 280 0.1483 0.1627 Data encountered in solving problems often do not fall exactly on the grid of values provided by property tables, and linear interpolation between adjacent table entries becomes necessary. Using the data provided here, estimate i. the specific volume at T= 240 °Č, p = 1.25 MPa, in m/kg ii. the temperature at p = 1.5 MPa, v = 0.1555 m/kg, in °C ii. the specific volume at T = 220 °C, p = 1.4 MPa, in m'/kg
Q1. Honey is a very widely used ingredient in cooking all around the world. Many commercial honey manufacturers heat treat honey to remove harmful bacteria that may be present. The density and viscosity of the honey varies with temperature, as shown in table 1. Temperature K 293 298 303 308 313 318 323 Density kg/m³ 1403 1398 1393 1388 1383 1378 1373 Viscosity Pas 55.66 46.45 37.99 30.28 23.32 17.11 11.65 Table 1: Fluid properties of honey. A particular processing facility heats and sterilises 500 kg of unprocessed honey every 30 minutes. The unpro- cessed honey is stored in large vats, then pumped though pipes into heating units before being pumped through another pipe to be bottled. The pipe carrying the honey from a storage container, which is 11 m tall, to a heating unit is 5 m long and has a diameter of 10 cm. Prior to being heated the honey is kept at 25°C. (a) What is the pressure difference between the top and bottom of a storage vat when it is full? (b) What is the volume flow…
ham A beam of circular cross- section is subjected to pure bending moment M and the bending stresses are given by the following equation: 32 Мь ла where d is the diameter of the beam. It has been observed that the diameter (d) of the beam is a normally distributed random variable with a mean of 50 mm and a standard deviation of 0.125 mm. The bending moment (M) is also a normally distributed random variable with a mean of 1750 N-m and a standard deviation of 150 N-m. Determine the mean and standard deviation of the corresponding bending stress variable (o). Comment on the analysis.
P V:09 • واتساب .lم docx. الصباحيQuize Quiz 6/3/2021 for morning group Q/ If the following data represents spending weekly for eight people on essential goods in dollars: 50 52 56 48 45 47 52 46 Find: A: 1. The arithmetic mean 2. The median 3. The mode B: Repeat requirements for the following cases: 1. If each person's consumption decreases by $ 5. 2. If each person's consumption increases by 5 $. 3. If the consumption of each person doubled. 4. If each person's consumption decreased by an amount 50%. Good luck