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An exponent denoted with this letter is the critical parameter of the Box–Cox transformation, which converts non-normal dependent variables to a normal distribution. For 10 points each:
[10m] Name this non-theta Greek letter that also parameterizes the Poisson distribution, as it equals both the expected value and variance.
ANSWER: lambda
[10e] If lambda equals zero, then the Box–Cox transformation just involves applying this function to the input data to make it normal. This function is the inverse of exponentiation.
ANSWER: logarithm [accept natural logarithm or ln (“lawn”)]
[10h] This plot is used to graphically check whether data is normal, as two identically distributed groups of data follow a 45-degree line. Comparing heavy-tailed and normal distributions on this plot produces a nearly horizontal line.
ANSWER: Q-Q plot [or quantile-quantile plot]
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Imperial ABristol A10101030
Warwick BBristol B010010
Cambridge ACambridge B10101030
Oxford ACambridge C1010020
BirminghamCambridge D10101030
EdinburghLSE B010010
Southampton BImperial B1010020
LSE AManchester1010020
Oxford BWarwick A1010020
VanderbiltDurham B010010