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Sensor measures specific variable (K), have a nonlinear output and are valued for a limited range. So when the Sensor is manufactured, the manufacturer

 Sensor measures specific variable (K), have a nonlinear output and are valued for a limited range. So when the Sensor is manu   You have been given the following data show in table Х7.7 8.1 8.5 y1.1 8.0 19.3 based on these data, find the son f(x)dx usThe table below shows the fourth and fifth approximations for the root of the function f(x) X4 x5 x6 Х4.84 7.75 ?? fx 3.1 2 

Sensor measures specific variable (K), have a nonlinear output and are valued for a limited range. So when the Sensor is manufactured, the manufacturer supplies a resistance (R) vs. the variable (K) curve. An accurate representation of the curve is generally given by \(K= \alpha + \beta \cdot In(R) + \gamma \cdot (In(R))^2 \) Where a, and y are constants of the calibration curve. Given the following values for the Sensor R K 1101.0 298.263 911.3 303.281 636.0 313.27 451.1 323.278 The value of variable (K) for a measured resistance of 907 ohms most nearly is **Use 4 decimals for calculations.* ** You have been given the following data show in table 8.1 8.5 19.3 7.7 X y based on these data, find the f(x)dx using Simpson 3/8 Rule 1.1 8.5 8.0 The table below shows the fourth and fifth approximations for the root of the function f(x) x6 ? ? X fx x4 4.84 3.1 x5 7.75 2.3 the value of the sixth approximation (x6) using the Bisection method is

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