I took the GRE back in Spring 2016, and I got the following scores:
Verbal: 168
Quantitative: 165
Analytical Writing: 4.5
I studied heavily for the verbal portion in order to boost my score and did not study much for the quantitative portion, as I felt confident that I would do well enough in it.
I then went to graduate school to get a Master's in a computer science field related to Big Data, which I am currently pursuing.
I am thinking about pursuing a Ph.D. program in Statistics after this Master's, as I am particularly interested in the statistical side of Big Data, and my end goal is to become a professor. My undergraduate program was a math degree with a statistics concentration, and I got a 4.0 in-major, with a 3.98 overall. In graduate school, I currently have approximately a 3.9 GPA. I am planning to apply for entrance to a Ph.D. program for Fall 2019.
One of the schools I am looking at says that "most successful PhD applicants have a quantitative score of at least 166 and a verbal score of at least 153." This school typically admits 3 to 4 students out of a pool of nearly 100 applicants each year. Is it worth taking the GRE again to get a higher quantitative score, or am I worrying a bit too much about this?
Any advice would be greatly appreciated.