QUESTION IMAGE
Question
example 4.8
compute the variance and standard deviation of the discrete probability distribution and interpret in context of netflix movies streamed each month.
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Step1: Calculate the mean $\mu$
$\mu=\sum_{x}x\cdot P(x)=0\times0.06 + 1\times0.58+2\times0.22 + 3\times0.10+4\times0.03+5\times0.01$
$=0 + 0.58+0.44 + 0.30+0.12+0.05=1.49$
Step2: Calculate the variance $\sigma^{2}$
$\sigma^{2}=\sum_{x}(x - \mu)^{2}\cdot P(x)$
$=(0 - 1.49)^{2}\times0.06+(1 - 1.49)^{2}\times0.58+(2 - 1.49)^{2}\times0.22+(3 - 1.49)^{2}\times0.10+(4 - 1.49)^{2}\times0.03+(5 - 1.49)^{2}\times0.01$
$=(- 1.49)^{2}\times0.06+(-0.49)^{2}\times0.58+(0.51)^{2}\times0.22+(1.51)^{2}\times0.10+(2.51)^{2}\times0.03+(3.51)^{2}\times0.01$
$=2.2201\times0.06 + 0.2401\times0.58+0.2601\times0.22+2.2801\times0.10+6.3001\times0.03+12.3201\times0.01$
$=0.133206+0.139258+0.057222+0.22801+0.189003+0.123201$
$=0.869899\approx0.87$
Step3: Calculate the standard - deviation $\sigma$
$\sigma=\sqrt{\sigma^{2}}=\sqrt{0.869899}\approx0.93$
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The variance is approximately $0.87$ and the standard deviation is approximately $0.93$. This means that, on average, the number of Netflix movies streamed each month deviates from the mean of $1.49$ by about $0.93$ movies, and the spread of the distribution of the number of movies streamed is measured by the variance of $0.87$.