The Red Arc | Statistical-Analysis

Statistical Analytics Consulting

Science. Structure. Statistical Proof.

The Foundation for Statistical Insights

In regulated industries like healthcare, pharmaceuticals, and consumer products, statistical rigor is not optional—it’s essential. At The Red Arc, we combine deep statistical expertise with real-world domain knowledge to deliver insights that are robust, reproducible, and regulatory-compliant.“We don’t just analyze data—we test hypotheses, validate impact, and provide confidence to move forward.”

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Our Statistical Analytics Services

Statistical Study Design & Planning

The strength of your results lies in how you plan your study. We work closely with R&D or product teams to design experiments with the right power, size, and significance.

Hypothesis formulation and objective clarity
Sample size calculation and power analysis
Randomization planning and control group setup
Selection of appropriate statistical tests

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Statistical Test Execution

Depending on the data distribution and experimental structure, we select the right test—not just the most common one. Each decision is driven by data characteristics, not assumptions.

Parametric tests (T-test, ANOVA, etc.)
Non-parametric tests (Mann-Whitney, Wilcoxon, Kruskal-Wallis)
Time-series and repeated measures tests
P-value, confidence interval, and effect size reporting

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Outcome Modeling & Interpretation

We don’t just give you test results—we help you interpret the practical and business implications with clear, actionable reporting.

Results interpretation for non-statistical stakeholders
Graphs, tables, and clinical/statistical summaries

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Regulatory-Ready Documentation

Many of our clients need statistical analysis to support internal reviews or regulatory approvals. We provide precise, audit-ready documentation.

Statistical Analysis Plan (SAP) creation
Comprehensive test reports with code appendix (R/Python/SPSS)
Quality control and double validation

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Let Data Lead You.

Empowering Strategic Decisions Through Trusted Data Intelligence.