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Interpret the Mean of a Discrete Random Variable as an Expected

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Interpret the Mean of a Discrete Random Variable as an Expected Value
-A legendary football coach was known for his winning seasons. He consistently won nine or more games per season. Suppose xx equals the number of games won up to the halfway mark (six games) in a 12-game season. If this coach and his team had a probability p=0.8p = 0.8 of winning any one game (and the winning or losing of one game was independent of another), then the probability distribution of the number xx of winning games in a series of six games is:
xP(x)00.00006410.00153620.01536030.08192040.24576050.39321660.262144\begin{array}{l|l}x & P(x) \\\hline 0 & 0.000064 \\1 & 0.001536 \\2 & 0.015360 \\3 & 0.081920 \\4 & 0.245760 \\5 & 0.393216 \\6 & 0.262144\end{array}

Find the expected number of winning games in the first half of the season for this coach's football teams.

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