Research & Technical Services

Statistical & Research Data Analysis

Hypothesis tests and regression models run in Python, with a methods and results write-up suited to research reports.

Custom quote after a short consultation · Timeline agreed in your quote

Scope: We support businesses and researchers with data, analysis and reporting. We do not write or complete graded academic work (assignments, theses or exams) for submission.

Overview

Statistical analysis tests whether the patterns in a dataset are likely to be real. It suits research studies, survey results, pilot evaluations and reports where findings must be supported by formal tests rather than charts alone. Where our Data Analysis service answers commercial questions with SQL and Python, this service follows a research workflow: hypotheses, assumptions, tests and a methods write-up.

RF ETS runs the analysis in Python. We confirm your research questions and variables, check assumptions such as distribution and sample size, and choose tests that fit the data, explaining why each was used.

The tiers move from descriptive statistics, to inferential tests such as t-tests, ANOVA, chi-square and correlation, to regression and multivariate modelling. The Advanced tier covers up to four datasets and up to ten tests or models, with tables, charts, a full methods and results write-up, and the code and output files. We do not write or complete graded academic work.

Who it’s for

  • Researchers who need tests run and reported correctly for a paper or report
  • Organisations evaluating survey, pilot or programme data
  • Healthcare, education and social-sector teams preparing evidence-based reports
  • Businesses that need formal significance testing rather than descriptive charts

Problems it solves

  • Know whether differences or relationships in your data are statistically meaningful
  • Choose tests that match your data and research questions
  • Present results in properly formatted tables with interpretation
  • Have a methods section that explains exactly what was done

What RF ETS delivers

  • Descriptive statistics tables and charts
  • Inferential test results with interpretation (Professional and Advanced)
  • Regression or multivariate model outputs (Advanced)
  • Methods and results write-up (Professional and Advanced)
  • Python code and output files for reproducibility

How we work

  1. Confirm questions and variables

    We agree the research questions, hypotheses and the variables involved.

  2. Check data and assumptions

    We screen the data and test assumptions to choose suitable methods.

  3. Run tests and models

    We run the agreed tests or models in Python and produce tables and charts.

  4. Write up and explain

    We deliver the methods and results write-up and explain the findings with you.

What we need from you

  • The dataset(s) with a codebook or variable descriptions
  • Your research questions or hypotheses
  • Any required reporting style or table format
  • Background on how the data was collected
Pricing

How pricing works

This work varies too much for fixed packages. We scope it with you, then send a written quote with price, timeline and deliverables before any work starts.

  1. Tell us what you need

    Use the quote form or book a consultation and describe your goal, constraints and deadline.

  2. We scope it with you

    We review your material and agree deliverables, assumptions and what is out of scope.

  3. Written quote

    You receive a fixed price or milestone plan, timeline and revision terms before any work starts.

Not included

  • Graded academic work for submission (assignments, theses, exams)
  • Third-party costs: domains, hosting, paid plugins and themes, software licences, API or AI-model usage fees, data-provider credits
  • Work outside the written scope agreed before work starts (handled as an add-on or a custom quote)
  • Ongoing support after the delivery and launch-support window unless a support package is bought
Custom solution

Need something different?

Tell us what you need, and we’ll prepare a solution and pricing based on your requirements.

FAQ

Statistical & Research Data Analysis: common questions

How does pricing work for statistical analysis?

Tiers show typical scope with 'from' prices. The final price depends on dataset size and the number of tests or models, and is confirmed in a quote after we review your data. See the packages above.

Do you complete university assignments, theses or exams?

No. We support businesses and researchers with data, analysis and reporting, but we do not write or complete graded academic work, such as assignments, theses or exams, for submission.

How is this different from your Data Analysis service?

This service centres on formal statistical testing, assumption checks and a methods write-up. Data Analysis focuses on business questions, using SQL and Python for segmentation, trends and forecasting.

What if the results are not significant?

We report results as they are. A non-significant result is still a finding, and the write-up explains what it does and does not show. We do not adjust methods to reach a preferred outcome.

Can we add more tests after seeing the results?

Revisions within the agreed tests are included as listed for your tier. Extra tests or models can be added as add-ons, and larger changes are confirmed in an updated quote.