Tossup
This quantity is minimized for an unbiased estimator that is a function of a complete and sufficient statistic by the Lehmann–Scheffé (“LAY-man shef-FAY”) theorem. Ronald Fisher developed a test that generalizes the t-test to more than two groups named for the “analysis of” this quantity. For two random variables X and Y, the expected value of X times Y minus the product of the expected values of X and Y gives this quantity’s “co-” form. This quantity is the second central moment of a distribution, and is equal to the mean for a Poisson (“pwa-SAWN”) distribution. For a random variable X, this quantity is the [read slowly] expected value of X squared, minus the square of the expected value of X. For 10 points, the square of the standard deviation is equal to what measure of spread? ■END■
Buzzes
Summary
| Tournament | Edition | TUH | Conv. % | Neg % | Average Buzz |
|---|---|---|---|---|---|
| UK (North) | UK | 5 | 100% | 20% | 83.80 |
| UK (South) | UK | 7 | 100% | 29% | 76.14 |
| Northern California | US | 4 | 100% | 25% | 72.00 |
| Southern California | US | 7 | 100% | 29% | 75.00 |
| Eastern Canada (1) | US | 5 | 100% | 0% | 84.40 |
| Eastern Canada (2) | US | 9 | 89% | 22% | 83.25 |
| Florida | US | 4 | 50% | 50% | 102.00 |
| Great Lakes | US | 12 | 100% | 17% | 83.00 |
| Lower Mid-Atlantic | US | 9 | 100% | 0% | 79.56 |
| Upper Mid-Atlantic | US | 10 | 100% | 40% | 86.30 |
| Upper Mid-Atlantic | US | 1 | 100% | 0% | 74.00 |
| Midwest | US | 9 | 89% | 22% | 80.00 |
| North | US | 4 | 100% | 0% | 66.25 |
| Northeast | US | 11 | 100% | 18% | 82.00 |
| Pacific | US | 8 | 100% | 25% | 88.88 |
| Southeast | US | 13 | 92% | 23% | 95.33 |
| Upstate NY | US | 6 | 100% | 0% | 96.67 |