Recovery

One issue with using JGS Scoring Differentials is that they may not fairly encompass a golfer's skill because many factors can vary in calculating this number, such as different locations and ratings for different courses. Also, for junior golfers especially, everyone is not playing at their average form all the time. Some kids may be playing bad and others may be popping off. What we can now do is subtract the average of the last two rounds(when the weather was more reasonable) from the first round score of each player to see how much the weather affected their form that week. I can this metric recovery:

Morning Wave:

x̄1 = 4.431
n1 = 58
s1 = 3.736

Afternoon Wave:

x̄1 = 4.135
n1 = 40
s1 = 3.673

This metric has a P-Value of 0.44135, also having no significant difference. After much thought and consideration, this is about as fair of a level of analysis that I could have reached with the available data. While I was not wronged by mother nature at all, these newly created metrics can help people understand junior golf at a much deeper level, making strides toward the data analysis on the PGA Tour.

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