Machine Learning & Predictive Modelling
Classification, regression and clustering with honest validation and interpretable output.
Explore
Data & Statistics
ANOVA & Hypothesis Testing
t-tests, one-way and factorial ANOVA, ANCOVA, MANOVA, repeated measures and the non-parametric equivalents.
The test is chosen by your design, not by preference: how many groups, whether they are independent or repeated, how many factors, and whether covariates need to be controlled.
We select the correct test, check the assumptions that actually matter for it, apply appropriate post-hoc corrections, and report effect sizes alongside significance.
What you receive
- Correct test selected against your design
- Assumption checks with remedies where violated
- Post-hoc comparisons with multiplicity correction
- Effect sizes (η², partial η², Cohen's d) reported
- APA-formatted results paragraphs
Related
Others in Data & Statistics
Data Visualisation & Dashboards
Power BI, Tableau and custom dashboards built around the decisions they are meant to support.
Explore
Data Cleaning & Preparation
Missing values, outliers, recoding, merging and reshaping — the unglamorous work that decides whether the analysis is trustworthy.
Explore
Mediation & Moderation
PROCESS, bootstrapped indirect effects, moderated mediation and clean interaction plots.
Explore
Next step
Ready to talk about ANOVA & Hypothesis Testing?
Send the brief, the deadline and anything you already have. You will get a reference number straight away and a considered reply, usually within one working day.
- Fixed quote agreed before any work begins
- A reference number you can quote on WhatsApp
- Confidential handling, and an NDA if you want one
- An honest answer if your deadline is not realistic
