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A gambler plays a game 50 times. In each game, the expected gain is \(\mu=-0.5\) dollars and the standard deviation is \(\sigma=2\) dollars. Let \(S_{50}\) be the total gain after 50 independent games.
Calculate the expected total gain \(E(S_{50})\) (round to 1 decimal place).
\(E(S_{50})=\)
\(\pi\)
\(e\)
\(x\)
\(n\)
\(u_n\)
\(f\)
\(i\)
\(\frac{a}{b}\)
\(\sqrt{\,}\)
\({a}^{b}\)
\(\ln{\,}\)
\(\log{\,}\)
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\(C\)
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→
\(\sin{\,}\)
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\(\cos{\,}\)
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Calculate the standard deviation \(\sigma(S_{50})\) (round to 2 decimal places).
\(\sigma(S_{50})=\)
\(\pi\)
\(e\)
\(x\)
\(n\)
\(u_n\)
\(f\)
\(i\)
\(\frac{a}{b}\)
\(\sqrt{\,}\)
\({a}^{b}\)
\(\ln{\,}\)
\(\log{\,}\)
!
\(C\)
7
8
9
←
→
\(\sin{\,}\)
4
5
6
(
)
\(\cos{\,}\)
1
2
3
\(\times\)
\(\div\)
\(\tan{\,}\)
C
0
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=
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