Normal and Non-normal Data.

The normal distribution is a very important density curve. It is symmetric around a single peak. Many data sets drawn from nature follow the Normal curve. Not all data sets follow this distribution, though.Let's try to build up some intuition about density curves by trying to distinguish between the types of data that will have a normal distribution and the types that will likely be non-normal.

Dataset : The model year of every car registered in Pasadena, CA

https://www.back4app.com/database/back4app/car-make-model-dataset/all-cars-by-model-and-by-make-and-by-year

Make a rough sketch of a possible density curve for the data set mentioned above. Discuss whether it is likely to be a normal distribution (or approximately normal) or that is likely to be non-normal. Describe how the non-normal data set will differ from being normally distributed. Will the data set be symmetric? skewed?bimodal?