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C2. Coding Motor Dynamics

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The general form of the normal probability density function is:

f(x)=1σ2πe−12(x−μσ)2f(x) = \frac{1}{\sigma \sqrt{2\pi}} e^{-\frac{1}{2}\left(\frac{x-\mu}{\sigma}\right)^2}

The parameter μ\mu is the mean or expectation of the distribution. σ\sigma is its standard deviation. The variance of the distribution is σ2\sigma^{2}.

Quiz

What is the parameter μ\mu?

The parameter μ\mu is the mean or expectation of the distribution.
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