Award-Winning Statistics Graduate Level Tutors serving Queens, NY

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Award-Winning Statistics Graduate Level Tutors serving Queens, NY

Nina

Certified Tutor

10+ years

Nina

Masters in biostatistics
Nina's other Tutor Subjects
Statistics Graduate Level
Statistics
Calculus
Algebra

Graduate-level statistics throws curveballs that intro courses never prepare you for — survival analysis, mixed-effects models, high-dimensional inference. Nina earned her master's in biostatistics at Columbia and is currently pursuing her doctorate at NYU, so she's actively immersed in the theory a...

Education

Columbia University

Masters in biostatistics

Northwestern University

Bachelor of Arts in biological sciences (focus in neurobiology)

Columbia University in the City of New York

Current Grad Student, Biostatistics

Test Scores
SAT
1550
Shoaib

Certified Tutor

10+ years

Shoaib

Masters, Economics
Shoaib's other Tutor Subjects
Statistics Graduate Level
Pre-Algebra
Statistics
Calculus

Graduate-level statistics demands fluency with concepts like maximum likelihood estimation, hypothesis testing frameworks, and regression diagnostics — all of which Shoaib uses regularly in his economics research at Rutgers. His master's coursework involved heavy econometric modeling, so he can unpa...

Education

Rutgers University-Newark

Masters, Economics

Universiti Malaya

Bachelors, Economics

Tashina

Certified Tutor

Tashina

PHD, Psychological and Brain Sciences
Tashina's other Tutor Subjects
AP Statistics
Statistics Graduate Level
Pre-Algebra
College Algebra

Graduate-level statistics throws students into multivariate analysis, hierarchical modeling, and software-driven data work that textbooks alone rarely make clear. Tashina uses MATLAB and Python in her own doctoral research in Psychological and Brain Sciences, so she can walk through both the mathema...

Education

Johns Hopkins University

PHD, Psychological and Brain Sciences

Barnard College

Bachelor in Arts, Psychology

Test Scores
SAT
1450
Sam

Certified Tutor

9+ years

Sam

PHD, Statistics
Sam's other Tutor Subjects
AP Calculus AB
Statistics Graduate Level
Pre-Algebra
Linear Algebra

Having earned a PhD in Statistics, Sam teaches graduate-level topics like maximum likelihood estimation, Bayesian inference, and multivariate analysis with the depth that comes from years of research-level work. He's particularly strong at bridging the gap between statistical theory and practical ap...

Education

University of Iowa

PHD, Statistics

Northwestern University

Bachelors, Biomedical Engineering

Test Scores
SAT
1490
Brian

Certified Tutor

9+ years

Brian

PHD, Technology & Information Mgmt (Indef. deferred)
Brian's other Tutor Subjects
AP Statistics
Statistics Graduate Level
Pre-Algebra
Finite Mathematics

Graduate-level statistics demands comfort with proofs and derivations that most intro courses skip — maximum likelihood estimation, Bayesian inference, and the mathematical foundations behind common tests. Brian's Caltech background in economics and computer science gave him deep exposure to these m...

Education

University of California-Santa Cruz

PHD, Technology & Information Mgmt (Indef. deferred)

California Institute of Technology

Bachelors in Economics and Computer Science

Test Scores
SAT
1580
Dillon

Certified Tutor

6+ years

Dillon

Master's in Engineering
Dillon's other Tutor Subjects
Statistics Graduate Level
Pre-Algebra
Trigonometry
Statistics

Graduate-level statistics demands comfort with concepts like hypothesis testing, regression modeling, and ANOVA that go well beyond intro courses. Dillon's engineering background — including a master's in welding engineering technology — required heavy applied statistics work, from designing experim...

Education

Vanderbilt University

Master's in Engineering

Ohio State University-Main Campus

Master of Science, Welding Engineering Technology

Vanderbilt University

Bachelor's in Engineering

Test Scores
ACT
32
Kate

Certified Tutor

9+ years

Kate

Masters, Public Mental Health, Adolescent Health
Kate's other Tutor Subjects
Statistics Graduate Level
Pre-Algebra
Statistics
Middle School Math

Graduate-level statistics throws curveballs that intro courses never touch — multivariate regression, hierarchical modeling, interaction effects in complex datasets. As a psychology PhD student who runs her own research analyses in SPSS, Kate teaches these methods through real study designs rather t...

Education

Johns Hopkins Bloomberg School of Public Health

Masters, Public Mental Health, Adolescent Health

Johns Hopkins University

Bachelors, Psychology, Public Health

Juan

Certified Tutor

6+ years

Juan

Bachelor's
Juan's other Tutor Subjects
AP Calculus BC
AP Calculus AB
Statistics Graduate Level
Pre-Algebra

Graduate-level statistics moves quickly from probability theory into regression modeling, hypothesis testing frameworks, and ANOVA designs that require both mathematical rigor and software fluency. Juan is completing a statistics degree at the University of Florida alongside his engineering program,...

Education

University

Bachelor's

Test Scores
ACT
31
Julia

Certified Tutor

6+ years

Julia

Bachelor of Science, Pharmacy
Julia's other Tutor Subjects
Statistics Graduate Level
Calculus
Algebra
ACT Writing

Graduate-level statistics in the health sciences — biostatistics, survival analysis, logistic regression — requires more than formula memorization; it demands understanding which test fits which study design and why. Julia's Doctor of Science in Pharmacy means she's applied these methods firsthand i...

Education

Ohio Northern University

Bachelor of Science, Pharmacy

Ohio Northern University

Doctor of Science, Pharmacy

Test Scores
ACT
33
Anthony

Certified Tutor

6+ years

Anthony

Doctor of Philosophy, Economics
Anthony's other Tutor Subjects
AP Statistics
AP Calculus BC
AP Calculus AB
Statistics Graduate Level

As a PhD student in economics at Yale, Anthony works with graduate-level statistics constantly — maximum likelihood estimation, regression diagnostics, hypothesis testing frameworks, and Bayesian methods all show up in his research. He brings that working fluency to tutoring sessions, breaking down ...

Education

Yale University

Bachelor of Science, Physics

Yale University

Doctor of Philosophy, Economics

Yale University

BS in physics and math

Test Scores
SAT
1560

Frequently Asked Questions

Graduate Statistics programs usually cover advanced probability theory, mathematical statistics, inference methods, regression analysis, experimental design, and often specialized topics like Bayesian methods or time series analysis. The specific curriculum varies by program—some emphasize theoretical foundations while others focus on applied methods. A tutor can help you understand how these topics connect conceptually and prepare you for your program's particular approach.

Your first session is an opportunity to discuss your course objectives, current challenges, and learning goals. The tutor will assess your background in probability and mathematical foundations, identify specific topics causing difficulty, and develop a personalized plan to help you build both conceptual understanding and problem-solving skills. This foundation helps ensure your tutoring is targeted and effective from day one.

Graduate-level Statistics demands deeper mathematical rigor, proof-based reasoning, and the ability to understand why methods work—not just how to apply them. Many students struggle with this conceptual jump from procedural learning to theoretical understanding. A tutor can help you see the underlying mathematical principles, connect abstract concepts to practical applications, and develop the proof-writing and derivation skills essential at the graduate level.

Graduate Statistics students often struggle with probability theory foundations, understanding and working with distributions, deriving estimators and test statistics, and translating theoretical concepts into practical problem-solving. Additionally, many find it challenging to write rigorous proofs or understand why certain assumptions matter. Personalized tutoring helps you identify gaps in foundational knowledge and build confidence tackling multi-step derivations and complex problems.

At the graduate level, professors evaluate not just your final answer but your reasoning process, mathematical justification, and understanding of underlying principles. Showing work demonstrates that you grasp why a method is appropriate, can defend your approach, and understand the assumptions involved. A tutor can help you develop clear problem-solving strategies, organize multi-step solutions logically, and communicate mathematical reasoning effectively—skills that matter for exams, assignments, and professional applications.

Confidence grows through understanding patterns, seeing how concepts connect, and successfully working through challenging problems with support. Rather than memorizing formulas, working with a tutor helps you see the logic behind methods and develop intuition for when and why to use them. Breaking complex topics into manageable pieces, practicing retrieval of key ideas, and gradually tackling harder problems builds both competence and confidence in your abilities.

Look for tutors with strong mathematical foundations, graduate-level Statistics coursework or advanced degrees, and experience teaching or tutoring at the graduate level. They should be able to explain both the theory and applications, help you understand proofs and derivations, and adapt to your program's specific curriculum and textbook. Varsity Tutors connects you with expert tutors who have the background to support your graduate-level work.

Whether you're pursuing graduate Statistics at a Queens institution or preparing for advanced coursework, personalized tutoring provides flexible support tailored to your program's requirements and your learning pace. A tutor can help you master foundational concepts, prepare for challenging exams, work through problem sets effectively, and develop the theoretical understanding and problem-solving skills needed for success in graduate-level Statistics.

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