Which data set is the farthest from a normal distribution

Gunnar
Natural phenomena do fit with natural distribution. Natural distribution is able to fit with measurements of natural phenomena in such areas as blood pressure, weight, and IQ testing. By utilizing the bell curve we are able to find the natural distribution at the peak of the curve. This gives us the average of the measurements that we are taking. When looking at natural distribution the measurements that we are going to look at is the average. The average of natural distribution that we are looking for will typically cluster around the mean allowing for us to graph the results. We can also utilize standard deviation when looking at and measuring natural distribution. Standard deviation is the areas of the graph that is played farthest away from the mean. We are able to take natural phenomena and apply it to natural distribution. For example if you take a group of people and apply natural distribution to their weight you will get an average result. However, if you take the weight of different group of people you may end up with very different results. Needless to say natural distribution can be utilized to find the average at hand however it is important to consider that with different variables we are able to generate different results.

Cierra
Do natural phenomena such as hemoglobin levels or the weight of ants really follow a normal distribution? If you add up a large number of random events, you get a normal distribution.
Normal distribution has a bell shaped data set. It can differ based on the mean or the standard deviation, but it will still create a data set that resembles a bell it will also have a single peak and be symmetrical. A normal distribution should be able to tell you the mode, mean and median quickly as well. Not all data sets have a bell shaped curve to make them a normal distribution. Some data sets have a scattered data set that does not have a peak and it is not symmetrical. A large number of events can lead to a normal distribution but it depends on the form of data and it's frequencies if it is or is not a normal distribution.