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Thanks for the input, I am somewhat concerned that my GRE will be a little low and I was going to use my score to decide my Masters vs PhD debate (the powerprep practice tests put me at 150V 161Q). So, how does my profile look for a masters?

Thanks for all replies, I chose to go for admission to PhD programs at the advice of my Statistics advisor. My first thought was to do a masters before entering into a PhD program. Her advice was that if I wanted to get a PhD eventually (which I do), to apply directly for a PhD, which is why I will continue to seek a PhD. I am struggling to understand the concerns about my math background and how that relates to my admissions chances as I had strong grades in calc and matrix theory. From what I gather from the admissions websites, a background in calculus and matrix theory is the baseline for acceptance, with real analysis being less important for admission. I also feel as though other parts of my application make up the weight of not having real analysis. My letters of recommendation are mostly strong. My boss from my internship is a biostatistician and the hospital I worked in has a good reputation in the midwest. My statistics advisor should be strong as well as she knows a member of the faculty at most of the schools on my list and received her PhD from Penn State. I do really appreciate the feedback and I probably should have done a better job with my original post (it was a somewhat rushed job).

Thanks for your reply! I just realized that I forgot to include Matrix theory in my courses, I got an A in Matrix Theory. This probably substantially changes my profile and if you don't mind, a re-evaluation would be greatly appreciated.

Hi! I'm really unsure where I stand among other applicants for Statistics PhD programs and want to know how competitive I will be in applications. Undergrad Institution: Kansas State University (graduating December 2016) Majors: Statistics, Economics GPA: 3.73 overall, 4.0 in Statistics courses and 4.0 in Economics courses Honor & Awards: Possibly graduating Cum Laude. Member in Omicron Delta Epsilon honor society for Economics and Mu Sigma Rho honor society for Statistics. Type of student: Domestic White Male GRE: Taking very soon, expecting Q:160+ V: 150+ Quantitative Courses: Calc 1:A, Calc 2:B, Calc 3: A, Business and Econ Stats: A, Probability and Statistics 1: A, Probability and Statistics 2: A, Regression/ANOVA: A, Design of Experiments: A, Nonparametric Statistics: A, Econometrics: A, Economic Forecasting: A Programming: Proficient in R and SAS Experience: Interned in a Research Hospital in KC, Tutor for upper level Macroeconomics Letters of recommendation: Boss/Mentor from internship Statistics academic advisor Economics academic advisor List of schools: Penn State Iowa State Colorado State Ohio State University of Michigan University of Florida University of South Carolina probably Kansas State as a safety school as well