Major League Baseball Birth Months
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
The cutoff date for almost all nonschool baseball leagues in the United States is July 31, with the result that more major league players are born in August than in any other month.Malcolm Gladwell, Outliers
A quick analysis to confirm Gladwell’s assertion above. Used data scraped from www.baseball-reference.com. Here’s the evidence:
We can make a quick check to see whether the non-uniformity is statistically significant.
> chisq.test(table(baseball$month)) Chi-squared test for given probabilities data: table(baseball$month) X-squared = 135, df = 11, p-value <2e-16
Yup, it appears to be highly significant.
Obviously the length of the months should make a small difference on the number of births. For example, all else being equal we would expect there to be more births in August (with 31 days) than in July (with only 30 days). We can be a bit more rigorous and take month lengths into account too.
> chisq.test(table(baseball$month), p = month$length / sum(month$length)) Chi-squared test for given probabilities data: table(baseball$month) X-squared = 115, df = 11, p-value <2e-16
Looks like the outcome is the same: there is a significant non-uniformity in the birth months of Major League Baseball players.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.