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Define the statements about error analysis?
I. The expected value (or: most likely; probable value) of a measurement is the value that has the highest value of being correct.
II. The most probable values are the observed values corrected by an equal part of the total error.
III. Measurements of a given quantity are assumed to be normally distributed.
IV. The interval between the extremes is known as the 50% confidence interval.
V. The probable error of a quantity that has a mean [ μ ] and a standard deviation [ s ] represents that the probability is 50% (or; confidence interval) that a measurement of that quantity will fall within the range of μ ± 0.6745 s or the probable ratio of precision is μ / 0.6745 s.
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What is the easiest way to give proof the varignon''s theorem? Help please guys
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