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Using Matlab Consider a gas in a piston-cylinder device at different temperature. As the volume of the device was changed, the pressure was measured. The

Using Matlab

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Consider a gas in a piston-cylinder device at different temperature. As the volume of the device was changed, the pressure was measured. The volume and pressure values are reported in the following table Volume (m3) Pressure (kPa), when T-300K | Pressure (kPa), when T=500K 2494 1247 831 623 499 416 4157 2078 1386 1039 831 693 A. Use the data and linear interpolation to create an expanded volume-pressure table witlh volume measurements every 0.2 mS, assuming T-300K Plot the calculated values on the same graph with the measured data. Show the measured data with circles and no line and the calculated values with a solid line B. Create an expanded volume-pressure table with volume measurements every 0.2 m3, with columns corresponding to T-300K, 400K, and 500K. C. Fit the data for 300K, with first-, second-, third-, and fourth-order polynomials, using the polvfit function. Plot your results on the same graph. Plot the actual data as a circle with no line. Which model seems to do the best job? Consider a gas in a piston-cylinder device at different temperature. As the volume of the device was changed, the pressure was measured. The volume and pressure values are reported in the following table Volume (m3) Pressure (kPa), when T-300K | Pressure (kPa), when T=500K 2494 1247 831 623 499 416 4157 2078 1386 1039 831 693 A. Use the data and linear interpolation to create an expanded volume-pressure table witlh volume measurements every 0.2 mS, assuming T-300K Plot the calculated values on the same graph with the measured data. Show the measured data with circles and no line and the calculated values with a solid line B. Create an expanded volume-pressure table with volume measurements every 0.2 m3, with columns corresponding to T-300K, 400K, and 500K. C. Fit the data for 300K, with first-, second-, third-, and fourth-order polynomials, using the polvfit function. Plot your results on the same graph. Plot the actual data as a circle with no line. Which model seems to do the best job

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