Fall 2020 Statistics PhD Application Evaluation

[Lulucan]

I post again after adding my school list. Please give me any advice! 

Undergrad Institution: Top 3 in an East Asian country. 
Major(s): Economics 

GPA: 3.4

Type of Student: International (Asian)

 

Now in the Master's program in Top100 USA Public school (top2 in this state)

Major(s): Statistics

GPA:3.9

GRE General Test:
Last summer: 170Q, 155V, 3W

 

Programs Applying: Statistics PhD

 

Research Experience: Participated Team project in Economics research(6month), wrote a Master thesis in Economics

 

Awards/Honors/Recognitions: Full-GAship in MS program 

 

Pertinent Activities or Jobs: tutored graduate level theory to a graduate student.

 

Letters of Recommendation: Three from faculty member in the STAT MS program

 

Math/Statistics Grades: 

Calculus I  ,II (A+),(A)

Probability (A+)

Mathematical Statistics (A)

Linear Algebra I  ,II (B+,B+)

Intro to Linear Algebra (A) (retook)

Real Analysis I  ,II (B+,A)

Theory of statistics I  ,II ( graduate level) (A, A)

Intro to SAS programing (A)

Linear regression (graduate level) (A-)

Data Visualization (graduate level) (A-)

Experimental Design (graduate level) (A)

Now taking Machine Learning (graduate level), expecting (A)

 

 

Programs I  want to apply to:

 

PhDs:

 

Reach:

Connell (#20)

Penn State (#20)

UCLA (#30)

Purdue University--West Lafayette (#27)

 

Target:

University of Florida (#40)

Rice university (#40)

University of California--Irvine (#50)

Michigan State University (#50)

 

George Washington University (#61)

Virgina Tech University (#61)

 

Safe:

Not yet decided

 

 

I will add more schools soon.

Can anyone tell me my application range is proper or not? Do I need to lower my target? thanks!