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Prepared Direct Testimony of Robert McCullough on Behalf of the ...

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Page 19 <str<strong>on</strong>g>of</str<strong>on</strong>g> 76SEATAC-400each time period. Some plants are "available" and c<strong>on</strong>tribute <strong>the</strong>ir total capacity to this sum,while o<strong>the</strong>rs are "unavailable" and add zero.Fourth, <strong>the</strong> statistical distributi<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>the</strong> variable <str<strong>on</strong>g>of</str<strong>on</strong>g> interest is evaluated. In our applicati<strong>on</strong>, wehave a particular interest in <strong>the</strong> probability that <strong>the</strong> total available capacity is less than someparticular proporti<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>the</strong> total possible capacity. As a statistical statement, we are looking for<strong>the</strong> value <str<strong>on</strong>g>of</str<strong>on</strong>g> a probability distributi<strong>on</strong> functi<strong>on</strong> at a particular availability percentage.Q. Are <strong>the</strong>re o<strong>the</strong>r problems that clearly illustrate how this approach works in evaluating<strong>the</strong> likelihood <str<strong>on</strong>g>of</str<strong>on</strong>g> complex events?A. An analogous problem is <strong>the</strong> questi<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> how likely it is to roll ten dice simultaneously, assign avalue <str<strong>on</strong>g>of</str<strong>on</strong>g> zero to a die if it comes up six and a value <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>on</strong>e o<strong>the</strong>rwise, add up <strong>the</strong> values and get atotal less than or equal to five. This problem can be solved analytically, but is easily explored byjust throwing ten dice many times and tabulating <strong>the</strong> results. The problem is more difficult tosolve analytically if <strong>the</strong> dice have different numbers <str<strong>on</strong>g>of</str<strong>on</strong>g> faces - e.g. a mix <str<strong>on</strong>g>of</str<strong>on</strong>g> normal cubical dice,octrahedral dice, tetrahedral dice - and <strong>the</strong> values assigned to each die are different functi<strong>on</strong>s <str<strong>on</strong>g>of</str<strong>on</strong>g>how <strong>the</strong> die falls, and if <strong>the</strong>re are many more dice. In that case, a c<strong>on</strong>vincing dem<strong>on</strong>strati<strong>on</strong> canstill be made by actually c<strong>on</strong>ducting <strong>the</strong> experiment, throwing <strong>the</strong> dice many tirnes and keepingtabs <strong>on</strong> <strong>the</strong> results.Q. How would this roll-<str<strong>on</strong>g>of</str<strong>on</strong>g>-<strong>the</strong>-dice example relate to <strong>the</strong> study you performed?A. The capacity availability M<strong>on</strong>te Carlo study we performed involved ten thousand ''throws <str<strong>on</strong>g>of</str<strong>on</strong>g> <strong>the</strong>dice."Q. How likely would <strong>the</strong> real world capacity availability for <strong>the</strong>se plants be if <strong>the</strong> simple

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