Concept explainers
Environmental engineers dealing with the impacts of acid rain must determine the value of the ion product of water
where
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273.15 | 283.15 | 293.15 | 303.15 | 313.15 |
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Chapter 20 Solutions
EBK NUMERICAL METHODS FOR ENGINEERS
- Q=What is the importance of regression analysis in transportation engineering? ANSWER in word fomatarrow_forwardFor the Thermistor given below using piecewise approximation method combined with line regression to find the best equation and value for Temperature if the system has counts =800 20 40 60 80 |ADC counts 928 785 654 420 152 T=129.7902-0.14586*Counts, T= 13.1022 T=129.7902-0.13986*Counts, T=17.9021 T=129.7902-0.12358*Counts, T= 30.9262 T=135.4745-0.14599*Counts, T= 18.68613arrow_forwardSuppose that the temperature at C, tc, can be modeled by Oo + 0ita + 02t B where ta, tB are the temperature at A and B respectively, and 0,01, 02 are parameters to be determined. Find the parameters 0, 01, 02 that best fit the following data ta tB tc 17 15 14 10 11 12 13 11 18 22 16 20 25 19arrow_forward
- 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'/kgarrow_forwardInterpret the following results in a correlation analysis:a. r = 0.27, n =100b. r=0.27,n=16c. r=-0.75,n=16d. r = 0.02, n =100arrow_forwardThe following data have the form of exponential function y = a*Exp(x), where Exp(x) denotes the exponential operation of x. Find the nearest regression equation. In the answer, 1.00e0.5x represents 1.00*e^0.5x = 1.00*Exp(0.5x) Y: 0.4, 1, 4, 36 X: 0.2, 2, 4, 8 y = 1.00e0.06x All solutions are not correct O y = 0.35e0.58x O y = 1.35e1.5xarrow_forward
- A study was made on the amount of converted sugar in a certain process at various temperatures. The data were coded and recorded as follows: Temperature, x : 1.0 1.1 1.2 1.3 1.4 15 1.6 1.7 1.8 1.9 2.0 Converted Sugar, y: 8.1 7.8 8.5 9.8 9.5 8.9 8.6 10.2 9.3 9.2 10.5 Estimate the mean amount of converted sugar produced when the coded temperature is 1.75. (1 decimal place)arrow_forwardWhat mathematical relationship exists between the wave speed and the density of the medium, using the POWER trendline equation from the graph? Make your response specific (i.e., describe the full mathematical proportionality between the two variables) Feel free to use the table. Table: Frequency (Hz) Density (kg/m) Tension (N) Speed (cm/s) Wavelength (cm) 0.85 0.1 4.0 632.5 744.12 0.85 0.7 4.0 239.0 281.18 0.85 1.3 4.0 175.4 206.35 0.85 1.9 4.0 145.1 170.70arrow_forwardThe heat transfer conducted through material is calculated from the equation: Q = KX AXTD/L Where K: Conductivity of material A: Area of heat transfer TD: Temperature difference across material L: Thickness of material A student measures the area, thickness and temperature difference and assumes that the error in conductivity is negligible. The student also estimates the uncertainty range for each variable. In estimating the maximum possible value of Q, the student should use the following formula: A B Q max= K x A max x TD max / L max Q max= K x A max x TD max / L nom Q max= Q nominal + dQ/dLmin Q max= K x A max x TD max / L minarrow_forward
- 2. The following data were obtained in a study of the relationship between the weight and chest size of infants at birth. Chest size (cm) 29.5 26.3 Weight ( kg) 2.75 2.15 4.41 5.42 3.20 32.2 36.4 27.1 4.22 27.6 2.31 4.30 3.71 28.3 30.3 28.7 a. Calculate the correlation coefficient r.arrow_forward4. Referring to the property table below for saturated liquid, using linear interpolation to determine the following values: a. Pat T = 94°C b. U at P = 0.4285 bar C. vat U= 315.67 kJ/kg Internal Energy, Specific Volume, v x 10 (m*/kg) U ("C) (bar) (kJ/kg) 0.3858 1.0259 313.90 75 80 0.4739 1.0291 334.86 85 0.5783 1.0325 355.84 90 0.7014 1.0360 376.85 95 0.8455 1.0397 397.88 100 1.014 1.0435 418.94arrow_forward4 Discharge, Q through a venturimeter depends on the following variable Inlet pipe diameter - D Throat diameter - d Pressure drop across the venturimeter - Ap Fluid density - P Dynamic viscosity - µ Using MLT set of dimensions evaluate the dimensionless parameters correlating this phenomenon 5 The droplet size, D produced by a liquid spray nozzle depends on the following variable Nozzle diameter - d Jet velocity - U Fluid density - p Dynamic viscosity – u Surface tension - o Using MLT set of dimensions evaluate the dimensionless parameters correlating this phenomenonarrow_forward
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