MEASUREMENT AND INSTRUMENTATION BMCC 3743. LECTURE 3: ANALYSIS OF EXPERIMENTAL DATA. Mochamad Safarudin Faculty of Mechanical Engineering, UTeM 2010. Contents. Introduction Measures of dispersion Parameter estimation Criterion for rejection questionable data points
LECTURE 3: ANALYSIS OF EXPERIMENTAL DATA
Faculty of Mechanical Engineering, UTeM
=>Measures of data spreading or variability
1089, 1092, 1094, 1095, 1098, 1100, 1104, 1105, 1107, 1108, 1110, 1112, 1115
to , where is an uncertainty.
Chi squared table
Dn = 12.02, 12.05, 11.96, 11.99, 12.10, 12.03, 12.00, 11.95 and 12.16.
where then D9 = 12.16 should be discarded.
so remaining data stay.
Thompson’s t table
=> Use correlation coefficient, rxy to determine Case III
To get best straight line on the plot:
where Sy,x is the standard deviation of the differences between data points and the best-fit line. Its unit is the same as y.
where ln(a) is a constant, so ln(y) is linearly related to x.
Determine the linear correlation between T and V
Tabulate the data using this table:
The following measurements were obtained in the calibration of
a pressure transducer:
by tabulating the following values
Experimental Uncertainty Analysis
End of Lecture 3