Mechanical Measurements by S. P. Venkateshan

By S. P. Venkateshan

The 1st version of this e-book used to be co-published by way of Ane Books India, and CRC Press in 2008. This moment version is an enlarged model of the net direction constructed by means of the writer at IIT Madras, and likewise a changed and augmented model of the sooner publication. significant additions/modifications provided are within the remedy of error in size, temperature dimension, dimension of thermo-physical homes, and information manipulation. Many new labored examples were brought during this new and up to date moment version.

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3. Statistical analysis of experimental data 29 Kolmogorov Smirnov two sample test Let the first sample consist of n 1 data and the second sample n 2 data. Order both the data in ascending order. We assume that each data is independent and identically distributed. Assume that an empirical distribution function (EDF) is assumed such that the probability is defined by a uniform distribution. Hence the cumulative 1 empirical probability distribution (CEDF) jumps by at each data point for the n1 1 for the second sample.

Most beginners fall into this category. The analogy is quite realistic since most students performing a measurement in the laboratory may be put into one of the three categories. A good experimentalist has to work hard to excel at it! 4 compare the response of an                             individual thermocouple (that measures temperature) and a standard thermocouple. The measurements are reported between room temperature (close to) 20◦ C and an upper limit of 500◦ C.

Ross, Peirce’s criterion for the elimination of suspect experimental data, Journal of Engineering Technology, Fall 2003, pp. e. n = 19. 230. Step 2 We would like to check if a single data is abnormal. 185 for n = 19 and one abnormal data. 502. We calculate absolute values of all the 19 deviates and pick the maximum value. The maximum value is found to correspond to student No. 508. 502 we discard this data. Step 3 Now assume that there may be a second data that is abnormal. 890 for n = 19 and two abnormal data.

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Mechanical Measurements by S. P. Venkateshan
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