Match the unit of analysis to the true replicate.
Parametric or non-parametric comparisons
Modelling & Data · Data Analysis
Statistical Analysis
Statistical analysis selects a method that matches the design, distribution, dependence, sample size, and question. Effect sizes, uncertainty, diagnostics, and multiplicity are reported alongside p-values.
- Price
- Request a quote Confirmed after technical review
- Turnaround
- Confirmed after project review Confirmed after technical review
- Typical outputs
- Effect estimates and intervalsModel and test diagnosticsStatistical result tables
Why this service
What Statistical Analysis can help you understand
Statistical analysis selects a method that matches the design, distribution, dependence, sample size, and question. Effect sizes, uncertainty, diagnostics, and multiplicity are reported alongside p-values.
Check assumptions and influential observations.
Regression, ANOVA, mixed-effects, or survival methods
Report practical significance as well as statistical significance.
Power, sensitivity, and multiple-comparison support
Choose the scope
Start from the question, not the tool
The method, preparation route and reporting depth depend on what you need to decide.
Parametric or non-parametric comparisons
Match the unit of analysis to the true replicate.
- Best used when
- Match the unit of analysis to the true replicate.
- Typical result
- Effect estimates and intervals
- Preparation note
- Declare confidentiality, file, access or delivery constraints in advance.
Regression, ANOVA, mixed-effects, or survival methods
Check assumptions and influential observations.
- Best used when
- Check assumptions and influential observations.
- Typical result
- Model and test diagnostics
- Preparation note
- Declare confidentiality, file, access or delivery constraints in advance.
Power, sensitivity, and multiple-comparison support
Report practical significance as well as statistical significance.
- Best used when
- Report practical significance as well as statistical significance.
- Typical result
- Statistical result tables
- Preparation note
- Declare confidentiality, file, access or delivery constraints in advance.
Common outputs
A result package matched to the decision you need to make
Fields, conditions, processing and file formats are confirmed before work begins.
A representative output from Statistical Analysis with agreed units, labels, and revision status.
Checks, tolerances, convergence, uncertainty, or inspection evidence appropriate to the service.
A concise interpretation connecting the deliverable to the customer decision.
Input requirements
What to provide before work begins
Provide representative, clearly labelled inputs and identify the decision, feature or comparison that matters.
| Suitable input | Submission requirement | Planning note |
|---|---|---|
| Project input or design file | Provide the current design, objective, constraints and required deliverables for technical review. | Declare confidentiality, file, access or delivery constraints in advance. |
Objective: state the decision, comparison or acceptance criterion the work must support.
Handling and access: declare hazards, instability, confidentiality, file constraints or special logistics before dispatch or transfer.
Questions and answers
Common planning decisions
Short answers to issues that can change preparation, scope, timing or interpretation.
What inputs are needed for Statistical Analysis?
Raw, unedited data in a machine-readable format; preserve original files and metadata.
Which service option should I choose?
Start with Parametric or non-parametric comparisons; the final option is confirmed against the required decision and acceptance criteria.
What will I receive?
Typical outputs include effect estimates and intervals, model and test diagnostics, statistical result tables. Final files follow the confirmed reporting scope.
How long will it take?
Delivery timing is confirmed after the project inputs, scope and dependencies have been reviewed.
Request a project quotation
Send the information needed to scope Statistical Analysis correctly
- Current design, files, inputs and constraints
- Feature or decision the result must address
- Required comparison, acceptance criterion or reference
- Preferred output and reporting depth
Statistical AnalysisRequest a quote
Typical turnaround: Confirmed after project review
Request a quote