Statistics and data analysis.
Choosing suitable methods, guidance on running your analysis in R or Python, and understanding how to report the results correctly.
What's included
- Choosing statistical tests and models that answer your research questions
- Preparing and cleaning data, and checking assumptions
- Guidance on running your analysis in R or Python, and explaining the output
- Interpreting output: what the numbers do and don't mean
- Reporting results in tables and text in the style your department uses
Who it's for
Students with quantitative data and a methods chapter to write, from a statistician with a BSc in Statistics and an MSc in Data and Information Science.
Referencing styles
- Harvard
- APA
- Chicago
- MLA
- OSCOLA
- IEEE
- Vancouver
- MHRA
How it works.
- 01
Send your details
Your course, level, referencing style, deadline and what you need help with, by email or WhatsApp.
- 02
Get a quote
Based on the length of the work, the deadline and the kind of help you need.
- 03
Work through it together
Edits, comments and guidance you can see, understand and act on.
- 04
Submit with confidence
Work that meets the conventions your markers expect.
Other ways I can help.
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Referencing and citation
Citations and reference lists in the style your department asks for, applied consistently from the first page to the last.
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Editing and proofreading
Clarity, grammar, structure and academic tone, while keeping your argument and your voice.
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Dissertation and thesis planning
Shaping research questions, chapter structure and a realistic timeline so the whole project holds together.
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Literature review guidance
Finding, organising and critically discussing sources, rather than summarising them one after another.