Statistics Dissertation Help for UK Students
Can someone help me with the statistics in my dissertation? Yes. Most students who contact us are not stuck on the maths. They are stuck on decisions: which test, how many participants, what to do when the data misbehaves, and how to say it in a results chapter.
Tell us your research question, what your data looks like and when it is due. We reply with a quote.
Where students usually get stuck
These are the five points where we are asked for help most often. Find yours and you will see what we would do about it.
“I do not know which test to use.”
The UCLA statistics guide sorts tests by three questions: how many outcome variables you have, what kind of predictors, and what type of outcome. It also says its advice is a set of general guidelines, not hard and fast rules. We work through those questions with your actual variables and explain why the test you end up with fits. See the UCLA guide.
“How many participants do I need?”
A power analysis answers this before you collect anything. G*Power, a free tool from Heinrich Heine University Düsseldorf, covers many t tests, F tests, chi-square tests and z tests. We help you choose realistic inputs and write the justification your methodology chapter needs. About G*Power.
“My data does not meet the assumptions.”
This is more common than students expect, and it is not a disaster if you handle it openly. We help you check each assumption, decide whether to transform the data, switch to an alternative test or keep the original and explain the limitation.
“I have the output but cannot explain it.”
SPSS, R and Excel all produce numbers without telling you what they mean for your question. We turn the output into plain sentences, a clean table and a short paragraph of interpretation that you can say out loud in a viva.
“Is p below 0.05 enough?”
No, and markers know it. The American Statistical Association says a p-value does not measure the size of an effect or the importance of a result. We help you report effect sizes and confidence intervals as well, and avoid claims the data cannot carry. Read the ASA statement.
Have a dataset and a deadline but no plan for the analysis? Send both.
Get a quoteHow a statistics dissertation is judged
Course rules differ, but one published example shows the pattern. The University of Glasgow's Advanced Statistics Project and Dissertation (STATS5091P) is worth 60 credits at SCQF level 11. The dissertation counts for 80% of the mark, and the rest comes from an interim assessment that includes a presentation and mini-viva.
The listed learning outcomes go well beyond running a test. They include checking assumption validity, explaining implications and limitations, and defending the analysis in the mini-viva. That is why we explain every step rather than hand you a pile of output. Check your own handbook for your criteria.
What a marker will usually look for
- A question the data can answer
- A test chosen for a stated reason
- Assumptions checked, problems reported
- Limitations named, not buried
- An author who can explain the work
SPSS, R or Excel: use what your course expects
Your department usually decides, so check before you start. The R Project describes R as a language and environment for statistical computing and graphics, and it is free software under the GNU General Public License. IBM presents SPSS Statistics as a statistical analysis platform with testing, regression and forecasting.
We work in R, SPSS, Excel and G*Power. If your supervisor asks for Stata, Python or something else, say so in the quote form and we will tell you whether we can help.
Using someone else's data? Read the access rules first
Secondary data can save months, but it comes with conditions. The UK Data Service describes three access levels. Open data needs no registration. Safeguarded data needs registration and an End User Licence. Controlled data is only available to trained, accredited researchers through secure facilities.
Ethics still applies to existing data. The ESRC's six core principles include minimising harm, respecting rights and dignity, and conducting research with integrity and transparency. Your university will have its own approval process, so ask your supervisor early. This is orientation, not legal advice.
Quick answers before you ask
Can you pick the right test if I only have a research question so far?
Yes, that is a common starting point. Send the question, any variables you plan to measure and your course guidelines. We will suggest suitable tests, explain the trade-offs and flag anything you need to decide with your supervisor.
Will I be able to explain the analysis in my viva?
That is the aim. We write up each step in plain language, so you understand why the test was chosen and what the output says. Some courses, such as Glasgow's STATS5091P, include a mini-viva, so being able to defend the work matters.
My p-value is 0.06. Is my dissertation ruined?
No. The American Statistical Association warns against basing conclusions only on whether a p-value passes a threshold. Report the effect size and confidence interval, say what the result suggests, and be honest about the limits. A careful non-significant result can still earn good marks.
How do I justify my sample size?
Use a power analysis, which links sample size to the effect you want to detect and the significance level you set. G*Power is free and supports many common tests. Explain your inputs in the methodology chapter and check what your university expects.
Can I analyse a dataset I did not collect?
Often yes, if your course allows it. Check the dataset's licence and access level first, and ask your supervisor about ethics approval. UK Data Service collections are open, safeguarded or controlled, and each level has different conditions.
What should I send for a quote?
Your research question or draft, a short description of the data, your university's guidelines, your software and your deadline. Rough notes are fine. You can use the form below or message us on WhatsApp.
Send us your question and your data
A rough question, a spreadsheet and a deadline are enough to start. We will tell you what we would do and what it costs.
Chat on WhatsAppWe provide guidance and model support to help you understand and improve your own work. Follow your university's rules on assistance, referencing and AI tools.
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