From a research question to a finished dissertation.
Plan the study, record the data, run the analysis, check the writing and build the document — without leaving Chavery, and without learning a statistics package first.
Plan the study, record the data, run the analysis, check the writing and build the document — without leaving Chavery, and without learning a statistics package first.
Every number, every recommendation and every reported sentence comes from a formula or a written rule. Run the same analysis twice and you get the same answer. Your research is never sent to an AI service.
Chavery checks the assumptions first, recommends the test that fits, names the alternative when an assumption fails, and shows you the reasoning rather than just the p-value.
Record observations day by day as your study runs, or enter findings you already hold. Values are validated as you type, and a locked value can only be amended with a reason that stays on the record.
Publication-ready at 300 dpi, in a palette that survives greyscale printing and colour-blind readers, with shape and hatch carrying the same information as colour.
Submit sections as you write them and receive reviews, comments and approvals while there is still time to act on them — instead of handing over everything in the final week.
Learn, planning and the master chart are free. You pay when you run the analysis.
Your statistics are calculated, not generated. Every number, test recommendation, reported sentence and document comes from a formula or a written rule — never from a language model. Run the same analysis twice and you get the same answer, and you can see exactly what produced it. Your research is never sent to an external AI service.
A five-step planner turns a research question into objectives, a study design and the variables you will record — without asking you to know any statistical vocabulary first.
Calculations for means, proportions, paired data, correlation and diagnostic studies, with the power, alpha and effect size you actually used recorded alongside.
A living dataset. Record observations day by day as your study runs, or enter your findings directly if you already hold them. Values are validated, and a locked value can only be amended with a reason.
Answer questions about your data in plain language and Chavery checks the assumptions, recommends the right test, names the alternative when an assumption fails, and explains the choice.
Publication-ready figures at 300 dpi, in a palette that stays readable in greyscale and to colour-blind readers, with shape and hatch carrying the same information as colour.
Rule-based checks for grammar, style, readability and — the part most tools miss — statistical reporting: p = 0.000, “accept the null”, “proves”, a mean with no measure of spread.
Vancouver, NLM, APA, Harvard and MLA from one stored record. Switching style reformats the whole list. Citations are checked against the reference list in both directions.
Your supervisor reads a section and approves it, sends it back with what needs changing, or comments — months before submission rather than in the final week.
One dissertation file with a title page, a real table of contents, roman front matter, numbered chapters, captions and the bibliography built from the works you actually cited.
Postgraduate researchers and their supervisors across disciplines — MD and MS, MSc, MPharm, Nursing, Dentistry, Physiotherapy, Psychology, Ayurveda, Homoeopathy, allied health, PhD scholars, faculty and independent researchers.
Start free. Plan your study, build your master chart, enter your data, and see which statistical test your data needs — with no card and no time limit.
When you are ready to run the analysis and produce your dissertation, a Research Project is ₹11,000 without statistics, ₹14,000 with statistics, or ₹18,000 for medical, B.Tech and PhD research — each for one project for twelve months, exclusive of GST. You see what Chavery will do before you pay for it.
You are not comparing that against a few thousand rupees of software. You are comparing it against weeks of working out which test applies, a statistician’s fee, learning software built for people who already know statistics, and the rounds of corrections before submission.