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5 Explain very briefly and qualitatively why situations involving the sum of many random variables leads to a Gaussian probability distribution. Suppose a particle mass
5 Explain very briefly and qualitatively why situations involving the sum of many random variables leads to a Gaussian probability distribution. Suppose a particle mass m has been measured experimentally 300 times, giving a mean value of m = 237.6 GeV, and an estimated error on each measurement of e = 27.8 Gev. Out of the individual mea- surements, 110 of them have values mes > 265 Gev. Does this seem consistent with the measurements being drawn from a Gaussian distribution with u = m and o = e
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