What a statistics tutor does ¶
Students who bring the exact question that confused them in lecture usually make the fastest progress.
A statistics tutor teaches you to understand and use statistics yourself. In one-to-one sessions your tutor explains concepts in plain language, works through practice problems alongside you, checks your reasoning and shows you how to run analyses in software. The goal is that you can solve similar problems on your own.
Tutoring is about learning. If you have a thesis or research dataset and need a consultant to help you analyze and report it, our statistics help and consulting service is the better fit. Many graduate students use both: tutoring to build skills early, then consulting when their own data arrive.
Statistics tutoring suits students who feel lost in lectures, those who learned the formulas but cannot say what the results mean, and those studying in a second language. Tutors slow down, define every term and connect each new idea to one you already understand. If anxiety about mathematics has held you back, a patient tutor and well-chosen practice problems make a real difference.
Courses and levels we tutor ¶
Our online statistics tutors work with students at every level. You tell us your course, syllabus and textbook, and we plan sessions around them.
| Level | Typical courses | What sessions focus on |
|---|---|---|
| High school | AP Statistics | Sampling, inference, probability and clear written justifications |
| Undergraduate | Intro to statistics, biostatistics, business statistics, research methods | Core concepts, hand calculation and interpreting output |
| Master's | Quantitative methods, applied regression, epidemiology | Choosing models, checking assumptions, software fluency |
| Doctoral | Advanced statistics, multilevel and longitudinal modeling, psychometrics | Model specification, estimation and reading methods papers |
Your tutor is matched to your field, so a nursing student practices with clinical examples and an economics student works with economic data.
Statistics Tutoring
Send your file today and get a quote with a matched editor.
Topics from intro to advanced statistics ¶
Introductory statistics
- Descriptive statistics: mean, median, standard deviation, distributions and graphs
- Probability, the normal distribution and z scores
- Sampling distributions, standard error and the central limit theorem
- Confidence intervals and hypothesis testing, including Type I and Type II errors
- t tests, chi-square tests and correlation
Intermediate statistics
- One-way and factorial ANOVA, post hoc tests and planned contrasts
- Simple and multiple linear regression, dummy coding and interactions
- Nonparametric tests and when to use them
- Effect sizes, statistical power and APA-style reporting
Advanced statistics
- Logistic, Poisson and other generalized linear models
- Mixed-effects and multilevel models
- Factor analysis, reliability and structural equation modeling
- Survival analysis, time series and Bayesian basics
For a worked example of the kind of reasoning we teach, read our guide to writing and interpreting a regression equation.
Software practice: SPSS, R, Stata and Excel ¶
Many courses now expect you to run analyses in software as well as understand them. Your tutor shares a screen with you and you do the clicking or typing, which is how the skills stick.
- SPSS: entering and coding data, the Analyze menus, reading output tables and saving syntax. Our SPSS help page covers this in more depth.
- R and RStudio: projects, scripts, the tidyverse, plotting with ggplot2 and fitting models with lm(). See also R help.
- Stata: do-files, summarize, tabulate, regress and graphing commands.
- Excel, jamovi and JASP: common in introductory courses and useful for building intuition.
Save your syntax or script from every session. It becomes a personal reference you can reuse when exams or a thesis come around.
What a tutoring session looks like ¶
The p value misunderstanding above is the single most common one we see, at every level.
Statistics tutorials online are useful, but they cannot tell which step you misunderstood. A tutor can. A typical one-hour session starts with a quick check of what you already know, moves to explanation with a worked example, then gives you a similar problem to solve while the tutor watches and asks questions.
Example: explaining a p value
Student: "My p value is .03, so there is a 3% chance the null hypothesis is true."
Tutor: "Close, but the p value assumes the null is true. It tells you that if there were no real difference, results at least this extreme would turn up about 3% of the time. Let's simulate that in R so you can see it."
Sessions finish with a short recap and two or three practice problems. Your tutor notes which topics need another pass, so the next session starts where you need it rather than where the textbook happens to be. Over several weeks this builds the kind of understanding that holds up on an exam you sit on your own.
How online statistics tutoring works ¶
- Tell us about your course: level, syllabus, textbook, software and the topics that feel hardest.
- Get matched: we pair you with a tutor who knows your field and course level, and confirm a schedule.
- Learn in live sessions: video sessions with a shared screen, built around explanations and practice problems the tutor prepares or ungraded exercises from your textbook.
- Practice between sessions: your tutor suggests exercises and you can ask follow-up questions about anything covered.
Sessions are online, so where you live does not matter. Students searching for statistics tutors near them often find that a screen-shared session works better than in-person help, because you both see the same output. For rates and packages, see pricing.
What our tutors will not do ¶
A parallel problem with different numbers teaches the same method and keeps your graded work your own.
We teach; we do not complete graded work. Our tutors will not do homework, quizzes, problem sets, take-home exams or online tests that count toward your grade, and they will not log in to course platforms on your behalf. If you bring a graded problem, your tutor will set up a parallel practice problem and teach the method with that.
Policies on tutoring support vary between universities and courses. Please check your institution's rules and your instructor's guidance on outside help. Our academic integrity policy explains where we draw the line.