I'm trying to figure out how the normal distribution is different from the gamma distribution in case of theory and practice. Does any one know? Please help.
Below is a plot of various gamma distributions. The most important aspect is that it's skewed and asymmetric. The gamma distribution is frequently used to model waiting times, the size of insurance claims, and (strangely enough) errors in Poisson Regression.
And below is a plot of various normal distributions. The great power of the normal distribution is that many things can be transformed into a normal distribution via the Central Limit Theorem. It serves as a great physicial model for many processes.