ended 0-0, except one match somehow scored 8344-0. There are
numerous possible ways of combinations of data sets that result in the
same average. Standard deviation is used to express this variety of
distribution of data sets. It represents the average distance from the datas
to the mean; if they are high, data are more distributed, and if they are
low, data are less distributed.
σ=√Σ(xNi−μ)
2σ=Standard Deviation
N=Size of the population
xi=Each value from the Population
μ=The population meanStep 1: Find the mean.
Step 2: For each data point, find the square of its distance to the mean.
Step 3: Sum the values from Step 2.
Step 4: Divide by the number of data points.
√Σ(xi^1 −^749.^665 ).^27
2
= 3It is a somewhat high standard deviation, which means that the values of
the data set varied a lot from the mean value. In baseball, it means that
there were a variety of scoreboards of games, where the games were not
played in all similar scores, making it more entertaining.
In this chapter, we looked at a simple relationship between baseball and
numbers. Mathematics can never explain baseball perfectly; math is not