Hi, I’m Robert, the Stats Prof
I am a statistics professor, and for more than a decade I have done one thing: help people understand and use statistics with confidence.
Since 2014, I have worked one-to-one with undergraduates facing their first statistics course, master’s and doctoral candidates planning and defending their dissertations, and professionals who need trustworthy answers from their data. AskTheStatsProf is the home for all of that work.
Why I Do This
Statistics has a reputation problem. Too many capable students walk away from their first course convinced they are “not a math person,” and too many researchers treat the statistics chapter as an obstacle rather than the place where their findings come to life.
I have seen, again and again, that the problem is almost never ability. It is explanation. When statistics is taught as a set of disconnected formulas and menu clicks, it feels arbitrary. When it is taught as a way of reasoning about evidence and uncertainty, it clicks, and it stays clicked.
My Teaching Philosophy
Explain the reasoning, not just the steps. When you understand why a test is chosen, what its assumptions protect against and what the output actually says, you can write about it, defend it and use it again on your own.
In practice, that means:
- Intuition before formulas: visual, real-world explanations first; notation second
- You do the work, I coach: you run the analysis on your own machine so the skills transfer
- No judgment, ever: there are no silly questions in statistics, only unexplained concepts
- Rigor without jargon: professional standards, explained in plain language
Areas of Expertise
Statistical methods: descriptive and inferential statistics, hypothesis testing, t-tests, ANOVA, ANCOVA and MANOVA, correlation, linear, logistic and multilevel regression, factor analysis (EFA/CFA), structural equation modeling, mediation and moderation, non-parametric tests, reliability analysis, time series, survey methodology, and sample size and power analysis.
Software: SPSS and AMOS, R and RStudio, Stata, Python, Excel, JASP, jamovi and G*Power.
Disciplines: psychology, nursing and health sciences, education, business and management, economics, public health, social sciences and program evaluation.
Who I Work With
- Undergraduate students who need statistics to finally make sense (Statistics Tutoring)
- Master’s and doctoral candidates from proposal to defense (Dissertation Statistics Support)
- Researchers and organizations who need defensible analysis and clear reporting (Professional Analysis)
- Departments, labs and teams who want to build skills together (Workshops & Courses)
My Commitments to You
- Integrity first. I teach, guide and review; you remain the author of your academic work. Read my Academic Integrity Policy.
- Confidentiality. Your data, drafts and conversations are private and never shared or reused.
- Honesty. If your data cannot answer your question, or a different approach would serve you better, I will tell you before you invest further.
- Responsiveness. You will hear back within 24 hours, and sessions are scheduled flexibly across time zones via Zoom or Google Meet.
Let’s Get Started
Whether you are stuck on one concept or planning an entire dissertation analysis, the first step is a free 15-minute consultation. Tell me your level, your topic, the software you use and your deadline. I will listen, recommend a plan and give you a clear quote.
Prefer email or chat? Write to [email protected] or message me on WhatsApp at +1 (425) 999-3993.