Question
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]
<Other Science>
Summary
| 2024 ACF Winter at UC Berkeley | 2024-11-16 | Y | 3 | 20.00 | 100% | 100% | 0% |
| 2024 ACF Winter at Clemson | 2024-11-16 | Y | 7 | 12.86 | 86% | 43% | 0% |
| 2024 ACF Winter at Clemson | 2024-11-16 | Y | 7 | 14.29 | 86% | 0% | 57% |
| 2024 ACF Winter at Lehigh | 2024-11-16 | Y | 7 | 21.43 | 100% | 71% | 43% |
| 2024 ACF Winter at Northwestern | 2024-11-16 | Y | 9 | 16.67 | 100% | 44% | 22% |
| 2024 ACF Winter at Online | 2024-11-16 | Y | 8 | 15.00 | 100% | 38% | 13% |
| 2024 ACF Winter at Online | 2024-11-16 | Y | 3 | 13.33 | 67% | 33% | 33% |
| 2024 ACF Winter at Central Florida | 2024-11-16 | Y | 5 | 12.00 | 100% | 20% | 0% |
| 2024 ACF Winter at Oxford | 2024-11-16 | Y | 10 | 20.00 | 100% | 70% | 30% |
Data
| Johns Hopkins B | Bard A | 10 | 10 | 0 | 20 |
| Columbia B | Princeton A | 0 | 10 | 0 | 10 |
| Johns Hopkins A | Haverford A | 10 | 10 | 10 | 30 |
| Penn B | Rowan A | 10 | 10 | 10 | 30 |
| Penn State A | Lehigh | 10 | 10 | 0 | 20 |
| Rutgers A | Penn State B | 0 | 10 | 0 | 10 |
| Penn A | Rutgers C | 10 | 10 | 10 | 30 |