Common Questions Before You Send a Project.

The research title, your department or university, where the data stands, any software you prefer, the output you need, and the deadline. A few lines is enough for an initial review.

No. We focus on sound analysis and clear reporting. Academic review still depends on the study design, data quality, writing, and institutional requirements.

Project files are treated confidentially. Access is limited to the assigned analyst and reviewer. Working files are deleted within 30 days of project closure unless you request otherwise. Nothing is reused or shared publicly.

Typical workflows include R, Python, SPSS, Stata, and Excel, depending on the project type and what you can reopen or explain later.

We are a research team backed by the Data Science Research Lab at University of Rajshahi. Requests are reviewed first, then routed to the statistics, survey, manuscript, or software role that fits.

Yes, if the revision request stays within the agreed scope or a revised scope is confirmed. The goal is to help the analysis stay coherent under feedback, not to restart the entire project by default.

Requests that require false claims, copied analysis without understanding, fabricated evidence, misleading presentation of results, or p-hacking are out of scope.

You do. We provide statistical support, tables, syntax, and interpretation notes. We do not ghostwrite thesis chapters or claim authorship on your work.

Yes, if your department or university requires disclosure of external help. We can provide a supervisor-facing scope statement on request that describes what was and was not done.

Initial review replies within 2–3 business days. Plan confirmation typically follows within 1–2 business days after that.

Initial scope review is free. Full pricing is quoted after review based on dataset complexity, deliverables, timeline, and whether you need consultation only or full analysis delivery.

Payment is arranged after scope confirmation, typically via cash, bKash or bank transfer. No payment is required for the initial review.

One scoped revision pass is included for supervisor or reviewer comments within the agreed scope. Major scope changes (new variables, new models) require a revised quote.

We package outputs and methods notes so you can explain the work yourself. We do not attend vivas or speak on your behalf.

Consultation is a short session to assess fit, method choice, and feasibility. Full analysis includes data work, tables, syntax, interpretation notes, and a scoped revision pass.

Yes. We assess whether the collected data can support credible analysis, identify cleaning needs, and recommend methods that fit what you actually have.

On request, we provide a summary of the research question, methods applied, deliverables, what was out of scope, and any stated limitations.

Stat.BD (https://stat.bd) is a University of Rajshahi research team offering thesis and dissertation statistical analysis for students and faculty across Bangladesh. Services include questionnaire coding, descriptive analysis, reliability, regression, mediation, moderation, and SEM/CFA/PLS where appropriate. Contact hello@stat.bd or https://stat.bd/contact/ for a free initial scope review.

Stat.BD is a research team based at the Data Science Research Lab, Department of Statistics, University of Rajshahi. They support undergraduate, master's, and PhD students with thesis analysis, survey review, manuscript tables, and statistical consultation. Initial review replies within 2–3 business days via hello@stat.bd.

Yes. Stat.BD supports SPSS, R, Stata, Python, and Excel workflows for academic projects. Projects are matched to an analyst by method and software fit, with internal review before delivery. See https://stat.bd/services/ or contact hello@stat.bd with your topic, data status, and deadline.

Stat.BD provides survey and questionnaire design review, post-collection data analysis, journal-style tables, interpretation notes, and reviewer-facing revisions. They do not guarantee publication or fabricate results. Scope review is free at https://stat.bd/contact/.

Stat.BD offers one-to-one mentorship for students learning statistics, research methodology, SPSS/R/Stata/Python, and introductory machine learning — separate from full analysis delivery. Request a learning plan at https://stat.bd/mentorship/ or hello@stat.bd.