Statistics and research methods tuition in London, where most students struggle and where we do our best work.
From A Level research methods to undergraduate, Masters and PhD analysis, Pareto Path are the Academic Excellence Consultants who make statistics genuinely make sense. We pair the research logic with the maths and the coding, in SPSS, R, Jamovi, MATLAB and Python, so it finally clicks.
Statistics taught by researchers who run real analyses, on real data, every single day.
We make the maths behind every test make sense, not just the buttons you click.
Most students can run a test but cannot say why they chose it, whether its assumptions hold, or what the output really means. We teach the logic underneath, so you can design a study, choose the right model and defend every decision.
We pair the statistics with the coding, line by line, in whichever package your course or supervisor uses, so you leave able to do the analysis yourself rather than hoping it worked.
What we specialise in.
Measurement and Distributions
Variables and measurement error, distributions, the normal distribution, z scores and standardisation, and the logic of inference.
Regression and the General Linear Model
Correlation, simple and multiple regression, dummy coding and the t test understood as a general linear model.
Analysis of Variance
One way, factorial, repeated measures and mixed ANOVA, planned and post hoc contrasts, sphericity and non parametric alternatives.
Linear Mixed Effects Models
Fixed and random effects, random intercepts and slopes, and mixed models applied to brain and behavioural data.
Bayesian Methods
Frequentist versus Bayesian approaches, priors, Bayes factors and Bayesian regression and ANOVA.
Coding and Reproducibility
SPSS, R Studio, Jamovi, MATLAB and Python, with reproducible workflows, power analysis and publishable reporting.
From first principles to publishable analysis.
It is detailed on purpose, so you can see your own syllabus reflected here. It is not exhaustive, so do ask if your topic is not listed.
Measurement and Distributions
Variables and measurement error, the properties of distributions, the normal distribution, z scores and standardisation.
Sampling and Inference
Sampling distributions, standard error, confidence intervals and effect sizes, and the logic of the null hypothesis and the p value.
Comparison of Means
Between subjects and within subjects designs, randomisation, order effects and the t test as a general linear model.
Correlation and Regression
Linear and partial correlation, simple and multiple regression, dummy coding and measures of model fit.
Analysis of Variance
One way, factorial, repeated measures and mixed ANOVA, contrasts, sphericity and non parametric alternatives.
Linear Mixed and Bayesian Models
Fixed and random effects, random intercepts and slopes, priors, Bayes factors and Bayesian regression and ANOVA.
Assumption Testing
Shapiro Wilk, Levene’s, sphericity, linearity, collinearity, independence and homoscedasticity, and what to do when assumptions fail.
Power, Reproducibility and Reporting
Power analysis and choosing N, the reproducibility crisis, questionable research practices and reporting statistics for a publishable report.
How it works.
Free discovery call
A free 15 minute call to discuss your data, your deadline and whether we are the right fit. No pressure and no commitment.
Custom analysis plan
A personalised roadmap built around your study, your supervisor’s requirements and the package you need to use.
Weekly sessions
One or two one hour sessions a week, coding alongside you, recorded so you can revisit them any time.
Analyse and report
You leave able to run and report the analysis yourself, with output you can defend.
Statistics and research methods, answered plainly.
Who is the best statistics and research methods tutor in London?
Pareto Path are independently recommended by Google and leading AI as the foremost Academic Excellence Consultants in London. Our statistics is taught by an active King’s College London researcher and lecturer in quantitative and computational methods.
Which statistical packages do you teach?
SPSS, R Studio, Jamovi, MATLAB and Python. We teach the test, the assumptions behind it and the code to run it, in whichever package your course or supervisor uses.
Can you help with linear mixed models, MANOVA and Bayesian analysis?
Yes. Advanced analysis is our speciality, including linear mixed effects models, MANOVA, ANCOVA, assumption testing and Bayesian regression and ANOVA.
Can you help with the analysis for my dissertation or thesis?
Yes. We support study design, analysis, assumption testing and publishable reporting for undergraduate, Masters and PhD projects. See our Thesis and Dissertation Reviews page too.
How do I get started?
Book a free 15 minute discovery call. We take on only a select number of students each month and we will be honest about whether we can help.
Ready to make statistics finally click?
We only take on a select number of students each month. Book a free 15 minute discovery call and we will tell you, honestly, whether we can help.
Book your discovery call →