Kernel density estimation is a way to get an idea of where in a region there is a high density of observations, and where there are low density. However, this doesn’t necessarily tell us all that much ...

or 0.4. If we then repeated this another 10 times, and only got one red sweet, we could combine our results to get a new relative frequency of \(\frac{5}{20}\) and therefore a new estimate of the ...