Question

Wald’s identity is one lemma used to find this quantity for a series of IID random variables that only requires knowledge of the random variable and the stopping time. Finding this quantity using the tower rule first involves obtaining that same quantity conditioned on a random variable. This quantity remains the same for present and future observations in filtrations that Jean Ville named after the martingale betting system. Calculating this quantity for “e to the t X” yields the (*) moment-generating (10[1])function. This (10[1])quantity is almost surely obtained after infinite trials according to the strong law of large (10[1])numbers. For a random variable X, this quantity of X-squared minus the square of this quantity of X equals its variance. For 10 points, name this weighted average of all possible (10[1])outcomes. (10[1]0[1])■END■

ANSWER: expectation [or expected value; accept E(X) or E of X or EV; accept mean; accept average before average is stated]
<Science - Other Science>
= Average correct buzz position

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Buzzes

PlayerTeamOpponentBuzz PositionValue
Robert WangPenn State APenn State B8010
Pranav SivaramOhioOhio State8210
Yashwanth BajjiMichigan AMichigan C9710
Conor ThompsonIowa StateVassar12810
Charles SchmelzerIowaMichigan B1290
Kevin ZhengMichigan BIowa12910

Summary

2024 Booster Shot (Columbia)02/23/2024Y6100%0%17%113.33
2024 Booster Shot (Waterloo)02/23/2024Y4100%75%0%77.25
2024 Booster Shot (Vanderbilt)03/02/2024Y3100%0%33%102.00
2024 Booster Shot (Great Lakes)03/09/2024Y5100%0%0%103.20
2024 Booster Shot (WUSTL)03/09/2024Y367%0%33%104.50