(a) Using a calculator or computer, sketch graphs of the density function of the normal distribution $p(x)=\frac{1}{\sigma \sqrt{2 \pi}} e^{-(x-\mu)^{2} /\left(2 \sigma^{2}\right)}$.
(i) For fixed $\mu$ (say, $\mu=5$ ) and varying $\sigma$ (say, $\sigma=1,2,3)$
(ii) For varying $\mu$ (say, $\mu=4,5,6$ ) and fixed $\sigma$ $(\text { say, } \sigma=1)$
(b) Explain how the graphs confirm that $\mu$ is the mean of the distribution and that $\sigma$ is a measure of how closely the data is clustered around the mean.