Using Python:

In this project you will do a simple analysis of three datasets containing height data that you will find in the datasets folder on the Canvas site. The first dataset (hopeheights.dat) is heights of college students at Hope College. The first column of this data is the gender of the subject (1 female, 2 male) and the second column is the height in inches. See pythonstart.py to see how to load a file with multiple columns. Alternatively, you can tell numpy.loadtxt which columns of the datafile you want to load. Google numpy.loadtxt to see how to do this. The second data set (BBhtwt.dat) contains heights (in inches) and weights (in lbs) of professional baseball players. The third data set (Bigheightwt.dat) is the heights (in inches) and weights (in lbs) of 25,000 adolescents and various ages and both genders. This assignment is to first calculate the mean and the standard deviations for the height data in each of the three data sets.

Here are some of the first 5 data from files:

hopeheights.dat	BBhtwt.dat	BBhtwt.dat)	Bigheightwt.dat	Bigheightwt.dat
1. 67 1. 67 1. 67 1. 60 1. 68	height 74 74 72 72 73	weight 180 215 210 210 188	height 65.78331 71.51521 69.39874 68.2166 67.78781	weight 112.9925 136.4873 153.0269 142.3354 144.2971