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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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Boston University AA Brandeis Supreme1010020
Amherst ADiamond Brandeis010010
Bowdoin ABowdoin B1010020
Brown ABrandeises Brew1010020
MIT ACarabrandeis010010
Boston University BClark A0000
Harvard AYale C1010020
Yale ATufts A10101030
Northeastern ATufts B1010020
Williams AYale B1010020