📊
Dissertation & Thesis Statistical Analysis
Chapter 3 methodology through Chapter 4 results — assumption testing, correct test selection, full analysis, APA tables, and interpretation your committee can't dispute.
Sound Familiar?
The Moments That Bring People to Us
Whether you're a PhD student on deadline, a startup reading customer data, or a finance team building risk models — the need for expert analysis hits the same.
⏰
Thesis deadline in 48 hours, analysis broken
Your R script errors out, SPSS output doesn't match your hypotheses, and the defense is tomorrow. We've rescued hundreds of students at exactly this moment.
Click here →📉
Marketing spend rising, ROI still unclear
Campaigns are running but you can't attribute conversions, identify which channel drives real value, or justify budget to leadership with credible numbers.
🛒
E-commerce data with no actionable insight
Thousands of transaction rows and behaviour logs — but no statistical model to tell you what any of it actually predicts about your customers or revenue.
🏦
Financial models auditors won't approve
Risk assessments and forecasts must be statistically defensible. Assumptions need documenting, and regulators ask questions a spreadsheet model can't answer.
🧪
Research findings that won't pass peer review
Wrong test selection, violated assumptions, and underpowered studies are the top reasons papers get rejected. We catch all three before your submission.
🤖
AI gave you results nobody can verify
You asked ChatGPT to analyse your data and got confident numbers you can't reproduce or explain to the committee, client, or regulator now asking how you got them.
What We Do
Full-Spectrum Data Analysis Services
Every engagement includes real software analysis, full written interpretation, and unlimited revisions — not output files dropped in your inbox without context.
📈
Business Intelligence & Reporting
Custom dashboards, KPI frameworks, executive reports, and predictive models for sales, HR, and marketing teams that need decisions backed by verified numbers.
🔬
Clinical & Healthcare Analytics
Survival analysis, clinical trial statistics, diagnostic accuracy, and patient outcome modelling with CONSORT/STROBE compliance and ethics-ready documentation.
🛒
E-Commerce & Marketing Analytics
RFM modelling, A/B test interpretation, churn prediction, and attribution modelling — turning store data into revenue decisions, not dashboards nobody acts on.
🏭
Manufacturing & Quality Control
Six Sigma DOE, SPC, Gauge R&R, and process capability analysis. DMAIC-aligned deliverables that satisfy Black Belt and quality committee requirements.
🖥️
Live Consultation & Training
Real-time Zoom sessions — walk through data together, debug code live, prep for a defense, or train your team. Recorded for reference at no extra cost.
The Critical Difference
Why Hiring a Human Expert Beats
Why Hiring a Human Expert Beats
Using AI — Every Single Time
AI is useful for drafting text. It is actively dangerous for statistical analysis that will be submitted, published, defended, or acted upon by your organisation.
🤖 Using AI (ChatGPT / Copilot)
What actually happens when you ask AI to do your data analysis
✕Hallucinates statistics. AI generates plausible-looking p-values and effect sizes that are entirely fabricated — no dataset was ever processed.
✕Cannot run real software. ChatGPT cannot open your SPSS, R, or Minitab files. Any "results" are invented from training patterns, not your data.
✕Zero reproducibility. No output file, no syntax log — nothing a committee, auditor, or reviewer can independently verify or check.
✕Violates academic integrity policies. Most universities prohibit AI-generated statistical analysis without disclosure — some prohibit it entirely.
✕Skips assumption testing. Normality, homogeneity, multicollinearity — AI skips the checks that determine whether a test is even valid for your data.
✕Cannot be defended. When your committee or auditor asks "how did you get this?" — there is no defensible answer you can give.
✕Data privacy risk. Uploading confidential or clinical data to a public AI tool may violate GDPR, HIPAA, or your organisation's data policy.
👨🔬 RStudio Datalab Human Experts
What you actually get when you hire a qualified statistician
✓Real analysis on your actual data. We open your dataset, run your tests, and every number is traceable directly to your data — not invented.
✓Real software output files. SPSS .spv files, R scripts, Minitab projects — verifiable, reproducible evidence of every result you receive.
✓Fully documented methodology. Step-by-step so any qualified reviewer can independently replicate every result and every decision we made.
✓Compliant with all university policies. Statistical consultation is explicitly permitted worldwide. We've supported 5,000+ students without a single integrity issue.
✓Full assumption testing first. Normality, homogeneity, outliers — all documented and reported before any inferential test is run on your data.
✓Defensible under expert scrutiny. Every decision justified in writing. You can explain every methodological choice to any committee, client, or regulator.
✓NDA and confidentiality guaranteed. Data never leaves a secure environment. NDAs signed on request for all commercial and clinical projects.
Academic Integrity & AI Policy
What Universities Actually Say About AI in Dissertations
Leading institutions have published clear policies. The consistent message: AI-generated statistical analysis is either prohibited outright or must be fully disclosed and justified to your committee.
Hiring a qualified statistical consultant — permitted at universities for decades — is explicitly different from submitting AI-generated work. The distinction is accountability, reproducibility, and your ability to defend the methodology.
The key distinction universities draw: A human statistician produces verifiable, reproducible work you understand and can defend. AI produces text that mimics analysis without performing it — and cannot be verified by any reviewer.
Statistical consulting: 30+ years of academic acceptance
The Three-Question Test Universities Apply to Any Analysis
01Can you explain every methodological choice — why this test, on this data, with these parameters?
02Can an independent researcher reproduce your results from the same raw dataset?
03Is there a transparent audit trail from raw data to final conclusion?
✓ Our service ensures all three. AI cannot pass any of them.
🎓
Harvard University
USA — Ivy League
Harvard requires disclosure of any AI tool used in academic work. Statistical outputs produced by AI without verified methodology constitute a breach of academic honesty. Human statistical consulting is explicitly an approved form of academic support.
✓ Consulting Permitted🎓
University of Oxford
UK — Russell Group
Oxford's AI policy requires full disclosure of generative AI use and notes that AI tools can produce plausible but incorrect statistical results. Students must be able to personally defend all analysis presented in their thesis.
✓ Consulting Permitted🎓
MIT
USA — Research University
MIT distinguishes AI writing tools from AI-generated research outputs. Quantitative analysis must use documented, reproducible methods. AI-generated statistical results without traceable computation are not permitted in thesis work.
✓ Consulting Permitted🎓
Stanford University
USA — Research University
Stanford requires all quantitative results to be independently verifiable and that students demonstrate mastery of methods used. Software must be documented with version numbers and results must be reproducible from the original dataset.
⚠ Disclosure Required🎓
University of Melbourne
Australia — Group of Eight
Melbourne's framework distinguishes generative AI — prohibited for most assessments — from legitimate statistical consultation, which has been accepted practice in graduate research for over 30 years under their published graduate policies.
✓ Consulting Permitted🎓
University College London
UK — Russell Group
UCL explicitly distinguishes statistical consultation — working with a qualified human statistician — from AI use. The former is a longstanding academic practice, acceptable with proper acknowledgement in the thesis methodology section.
✓ Consulting PermittedHow to acknowledge our help in your dissertation: In your methodology section include: "Statistical analyses were conducted with guidance from a qualified statistical consultant using [software] version [X]." We provide template acknowledgement language with every academic delivery.
Industry Solutions
Data Analysis That Drives Results
Data Analysis That Drives Results
Across Every Sector
Whether you're optimising ad spend, managing financial risk, or running a clinical trial — the quality of your analysis determines the quality of your decisions.
Social Media & Digital Marketing
Turn Campaign Data Into Revenue, Not Vanity Metrics
Likes and reach don't pay salaries. Statistical models that identify which campaigns, audiences, and creatives drive real conversions — so every dollar of ad spend is justified.
34%
Avg. reduction in wasted ad spend after attribution modelling
2.8×
Avg. ROAS improvement with cohort-based optimisation
91%
of A/B tests run by marketers have invalid statistical setups
48hr
Typical turnaround for a full campaign analytics report
Statistically valid A/B and multivariate test design and interpretation
Multi-touch attribution modelling: linear, time-decay, data-driven
Audience segmentation using clustering and RFM analysis
Sentiment analysis and social listening data interpretation
Campaign ROI models and media mix optimisation
Campaign Analytics
Performance Uplift After Expert Analytics
Conversion Rate+41%
Ad Spend Efficiency+63%
Cost Per Acquisition−28%
Attribution ModelA/B ReportSegment AnalysisROI Dashboard
E-Commerce & Retail
Know Which Customers to Keep and Which Products to Cut
Your store generates data every second. Without proper statistical models you're guessing which SKUs to promote, which customers to retain, and when to run promotions.
22%
Avg. revenue uplift from RFM-based customer segmentation
3.1×
Inventory turnover improvement with demand forecasting
18%
Cart abandonment reduction via propensity model targeting
72hr
Turnaround for full e-commerce analysis package
RFM customer segmentation and lifetime value modelling
Churn prediction with logistic and survival models
Price elasticity analysis and promotion effectiveness testing
Demand forecasting using ARIMA and Prophet time-series models
Conversion funnel statistical analysis and drop-off identification
E-Commerce Analytics
E-Commerce Impact After Expert Analysis
Customer Retention+38%
Average Order Value+24%
Forecast Accuracy+89%
RFM SegmentsChurn ModelDemand ForecastFunnel Report
Financial Institutions & FinTech
Models That Satisfy Regulators, Auditors, and Boards
Risk models, credit scoring, and portfolio analytics must be statistically rigorous, reproducible, and auditable. We build models that survive the toughest external review.
40%
Avg. improvement in credit default prediction accuracy
99.2%
Audit pass rate for our financial analysis deliverables
15%
Fraud loss reduction with statistical anomaly detection
GDPR
Compliant data handling across all financial projects
Credit risk scoring models: logistic regression, random forest, XGBoost
Fraud detection using anomaly detection and clustering algorithms
Portfolio performance attribution and factor analysis
Time-series forecasting for market trends and revenue projections
Stress testing, Monte Carlo simulation, and scenario analysis
Financial Analytics
Financial Model Performance Metrics
Risk Model Accuracy (AUC)0.92
Fraud Detection Rate94%
False Positive Reduction−62%
Scoring ModelAudit TrailModel CardStress Test
Healthcare & Life Sciences
Clinical Evidence That Holds Up in Publications and Ethics Boards
Wrong test selection, underpowered studies, and missing assumption checks are the leading causes of peer review rejection. We catch all three before your submission deadline.
CONSORT
Compliant trial reporting for all clinical analyses
STROBE
Observational study reporting standards followed
HIPAA
Compliant handling for all US clinical data projects
72hr
Turnaround for standard clinical outcome analysis
Survival analysis: Kaplan-Meier curves and Cox proportional hazards
Clinical trial power analysis and sample size determination
Diagnostic accuracy: sensitivity, specificity, ROC curves, AUC
Meta-analysis and systematic review statistical synthesis
Patient-reported outcome (PRO) instrument validation
Clinical Analytics
Clinical Analysis Quality Indicators
Peer Review First-Pass Rate87%
Ethics Board Approval Rate96%
On-Time Submission Rate99%
Power AnalysisCONSORT TablesSurvival CurvesResults Section
Manufacturing & Quality Engineering
Six Sigma Projects That Reduce Defects and Cut Cost
Quality decisions based on intuition cost money. Statistical process control, DOE, and measurement system analysis give you the evidence base for every process improvement.
DMAIC
Six Sigma aligned deliverables for all Black Belt projects
29%
Avg. defect rate reduction after DOE-guided optimisation
Cpk
Process capability analysis included with every project
ISO
9001 & 17025 compliant measurement analysis
Design of Experiments: full factorial, fractional, and RSM
Statistical Process Control: control charts, run rules, CUSUM
Measurement System Analysis: Gauge R&R, linearity, bias
Process capability: Cp, Cpk, Pp, Ppk analysis and reporting
Reliability analysis: Weibull and accelerated life testing
Quality Analytics
Manufacturing Quality Improvement
Defect Rate Reduction−44%
Scrap Cost Reduction−31%
MSA Agreement Rate96%
Minitab ProjectControl ChartsCapability ReportDOE Summary
NGOs, Non-Profits & Academic Research
Impact Evidence That Wins Grants and Changes Policy
Funders and policy makers demand rigorous evidence. Survey analysis, intervention impact studies, and outcome evaluation need statistical precision to be credible and actionable.
APA 7
All academic outputs formatted to APA 7th edition standard
84%
Grant success rate for clients using our impact analysis
Open
Science compliant analysis with JASP and documented R scripts
48hr
Turnaround for standard survey analysis and written report
Survey design, instrument validation, and Likert-scale analysis
Programme impact evaluation: difference-in-differences, propensity matching
Mixed-methods integration: qualitative and quantitative synthesis
Longitudinal panel data analysis and growth modelling
Grant report statistical sections and donor evidence packages
Research Analytics
Research & NGO Outcomes
Grant Success Rate84%
Peer Review Acceptance79%
Policy Adoption Rate+52%
Survey AnalysisImpact ReportGrant EvidenceAPA Results
Human Resources & People Analytics
People Data That Predicts Turnover Before It Happens
Engagement surveys, pay equity analyses, and attrition models give HR leaders the statistical backing to make decisions that hold up in boardrooms and employment tribunals.
27%
Avg. attrition reduction using predictive turnover models
Pay
Equity analysis compliant with EEOC and gender pay gap reporting
3×
Faster HR decision cycles with automated analytics dashboards
NPS
Employee NPS statistical benchmarking against industry norms
Employee engagement survey analysis and factor extraction
Attrition prediction models and flight-risk scoring
Pay equity regression analysis for audit and compliance
Performance review calibration and statistical bias detection
Recruitment funnel analytics and diversity metric reporting
People Analytics
HR Analytics Impact
Turnover Prediction Accuracy88%
Attrition Rate Reduction−27%
Hiring Quality Score+41%
Engagement ReportAttrition ModelPay Equity AuditBoard Deck
Why Trust Us
Five Non-Negotiable Standards
Five Non-Negotiable Standards
On Every Single Project
These aren't upsells. Every client — from a $50 student to a six-figure enterprise engagement — gets all five on every order.
🎓
PhD-Qualified Statisticians
Every analyst holds postgraduate qualifications in statistics, data science, or a quantitative field. No undergraduates, no generalists, no AI doing the work.
🔒
Confidentiality Guaranteed
NDAs signed on request. Your data is processed locally — never uploaded to third-party AI systems. GDPR and HIPAA-compliant handling on every project.
📄
Full Audit Trail Provided
Every project includes original software output files, documented syntax, assumption test results, and a methodology note. Nothing unverifiable.
🔁
Unlimited Revisions
If your committee, client, or reviewer asks for changes within the original scope, we make them at no additional cost — for as long as needed.
⚡
Deadline Guaranteed
We agree a deadline before we start and we meet it. If we miss it, you receive a full refund. No exceptions, no excuses — this has never happened.
🧑💻
Direct Expert Access
You communicate directly with the statistician on your project. No ticket systems, no account managers relaying messages — direct access, always.
Platforms & Tools We Work With
📊 SPSS
📈 R / RStudio
🐍 Python
🔬 Minitab
📐 JASP
📉 Stata
🧮 SAS
📗 Excel
🗃️ AMOS
🔗 SmartPLS
📊 Power BI
🎨 Tableau
🗄️ SQL
📋 JMP
100%Guarantee
Our Triple Guarantee — In Writing
If the work doesn't meet the agreed scope, your committee requests changes we should have caught, or we miss your deadline — you're fully covered. No questions, no arguments, no chasing.
On-time delivery or full refund
Unlimited revisions until approved
100% human expert work — verified
How It Works
From First Message to Defended Results in 4 Steps
No complicated onboarding. No forms to fill out. Just tell us what you need — we handle everything else.
1
Share Your Requirements
Send your dataset, research questions, and deadline. No technical knowledge needed — just your goal and when you need it.
2
Confirm Scope & Quote
Your PhD statistician reviews your data, selects the correct methods, and sends a fixed-price quote within 1 hour.
3
Analysis & Interpretation
We run analysis in real software, write full APA results, build tables and charts, and explain every finding in plain language.
4
Revise Until Perfect
Unlimited revisions. Available for follow-up questions and live Zoom walkthroughs even after final delivery — at no extra cost.
Client Reviews
Trusted by 5,000+ Students, Researchers & Businesses
Real outcomes from people who needed analysis done right, not just done fast.
★★★★★
"My R code wasn't working and my defense was in 36 hours. They fixed the issue, ran the full mediation analysis in SPSS, and delivered interpreted results with APA tables by morning. Literally saved my degree."
S
Sarah M.
PhD Student, Psychology
SPSS Mediation + R Debugging
★★★★★
"We hired them to analyse 18 months of customer transaction data for our Shopify store. The RFM segmentation changed how we run promotions — revenue up 24% in the first quarter after delivery."
J
James L.
E-commerce Director
Customer Segmentation & RFM
★★★★★
"Our risk model was failing internal audit. They rebuilt the credit scoring regression, documented every assumption, and produced a model card that passed the board review first time. Outstanding."
A
Amanda K.
Head of Risk, FinTech
Credit Risk Model Rebuild
★★★★★
"Needed Minitab DOE for my Six Sigma Black Belt project. They ran the full factorial design, interpreted every main effect and interaction, and delivered in DMAIC format. Same-day delivery."
M
Michael R.
Quality Engineer, Manufacturing
Minitab DOE & Six Sigma
★★★★★
"Our NGO needed impact data for a USAID grant application. They ran difference-in-differences on our programme outcomes and packaged it in grant-ready format. We got the funding."
L
Lisa T.
Programme Director, NGO
Impact Evaluation & Grant Evidence
★★★★★
"Full SEM with AMOS for my PhD thesis — CFA, fit indices, modification, all written up in APA. My committee had zero statistical questions during the defense. Can't recommend highly enough."
R
Robert H.
PhD Candidate, Marketing
SEM / AMOS Dissertation
4.9/5
⭐ Average Rating
5,000+
Happy Clients
98%
Success Rate
24/7
Expert Support
FAQ
Questions Before You Order
The answers people always need before getting started.
Who can do my statistical analysis and how quickly?
PhD-qualified statisticians assigned based on your field and software. Standard analyses deliver in 24–48 hours. Urgent same-day projects are handled case-by-case — contact us immediately for deadlines under 12 hours and we'll confirm availability honestly.
Is hiring a statistical consultant allowed by my university?
Yes. Statistical consultation has been accepted academic practice for decades and is explicitly permitted at universities worldwide including Harvard, Oxford, MIT, and UCL. What universities prohibit is submitting AI-generated analysis without disclosure — categorically different from verified human consultation. We provide template acknowledgement language with every academic delivery.
What's actually wrong with using ChatGPT for data analysis?
ChatGPT cannot process your actual dataset. It generates text resembling statistical output based on training patterns — no computation occurred. The numbers are fabricated, there's no output file, and it cannot be verified. When a committee member, auditor, or client asks how you arrived at a result, AI-generated analysis provides no defensible answer.
What's included in the delivery — just numbers or a full report?
Every delivery includes: original software output files (SPSS .spv, R scripts, Minitab projects), documented analysis steps, APA-formatted or business-ready results tables, plain-language written interpretation, and a methodology justification. For academic work we include power analysis documentation. For business clients we add executive summary slides on request.
Can you help if I don't know which statistical test I need?
This is the most common situation — exactly what the free consultation is for. Tell us your research question, your variables, and what you're trying to demonstrate. We determine the correct test, check your data meets its assumptions, and advise before any work begins. You're not expected to know the methodology — that's what you're hiring us for.
Do you work with businesses as well as students?
Extensively — roughly 40% of our clients are businesses, from e-commerce stores needing customer analytics to financial institutions requiring audit-ready risk models. Deliverables are provided in whichever format your team needs: R scripts, Python notebooks, Excel models, Power BI-ready data, or executive PDF reports.
Do you sign NDAs for commercial or clinical data?
Yes. For commercial, clinical, and government projects we sign a mutual NDA before receiving any data. Your dataset is handled in an isolated local environment and deleted upon project completion. We never upload client data to public AI tools, shared systems, or any third-party platform.
⚡ Limited Availability This Week
Your Data Analysis Can Be
Done by Tomorrow.
Over 5,000 students, researchers, and businesses have trusted us with their most critical data. Your free consultation takes 5 minutes. Your results could be ready in 24 hours.
Free consultation
Fixed price upfront
Deadline guaranteed
Unlimited revisions
NDA available
Pinned Post
Shapiro-Wilk Test in R: Step-by-Step Guide (shapiro.test)
I f you're about to run ANOVA, a t-test, or linear regression for your thesis, the Shapiro-Wilk test in R is the fastest way to check whether yo…
Latest Posts
.webp)
Likert Scale Questions: Your In-Depth Guide
A Likert scale (pronounced LICK-ert , not "LIKE-ert") is a psychometric rating scale used in surveys and questionnaires to measure attitu…
Need this analysis done for your thesis or dissertation? I'll handle it in R, SPSS, or Minitab — with APA-formatted results delivered fast.
.jpg)
How I Used One-Way ANOVA in R to Analyze Crop Yield Data for a PhD Student (Real Case Study)
My client's supervisor had rejected Chapter 4 twice. Not because the data was bad — the field trial was clean, the yield measurements precise. Th…
Need this analysis done for your thesis or dissertation? I'll handle it in R, SPSS, or Minitab — with APA-formatted results delivered fast.
