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The table shows the probability of how a certain score will compare to a listed score on a popular video game. Use the probability distribution to find the variance, o^2A- 406.4B- 20.0C- 400.0D- 2.5

The table shows the probability of how a certain score will compare to a listed score-example-1
User WCMC
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The variance of a probability distribution is:


\sigma^2=\Sigma x^2p-\mu^2

where p is the probability and mu is the mean of the ditribution.

Before we begin we need to find the mean of the distribution, using:


\mu=\Sigma xp

Then the mean is:


\begin{gathered} \mu=(-50)(0.029)+(-30)(0.121)+(-10)(0.210)+(10)(0.485)+(30)(0.145)+(50)(0.010) \\ =2.52 \end{gathered}

hence the mean is 2.52.

Now we can calculate the variance:


\begin{gathered} \sigma^2=(-50)^2(0.029)+(-30)^2(0.121)+(-10)^2(0.210)+(10)^2(0.485)+(30)^2(0.145)+(50)^2(0.010)-2.52^2 \\ =400.04 \end{gathered}

Therefore, the answer is C.

User Jmuc
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