FRAMEWORK - Statistical Analysis as a Relational Inquiry
A modular guide to meaning-making in scientific practice
Statistics is often taught as a neutral tool, a way to measure, compare, and validate. But this guide invites a deeper approach: one that treats statistical analysis as a relational, interpretive, and ethically grounded practice. Whether you're exploring reaction rates, biological variation, or physical systems, statistics helps us ask better questions, notice patterns with care, and communicate findings with integrity.
This resource supports learners in developing statistical fluency with emotional intelligence, systemic awareness, and inclusive pedagogy. It centres disabled, neurodivergent, and marginalised voices, and honours lived experience alongside disciplinary insight.
Each module offers:
- Clear, scaffolded concepts and practical tools
- Reflection prompts for emotional and ethical inquiry
- Guidance for interpreting and visualising data across scientific contexts
- A rhythm-aware structure that supports pacing, remixability, and access
Whether you're new to statistics or returning with a fresh perspective, this guide is both a toolkit and a companion, a way to engage with data as story, signal, and ceremony.
Let’s begin with curiosity, not calculation.
Contents
Section 1: Introduction Statistics as Meaning-Making, Not Just Measurement
Section 2: Types of Data and Why They Matter
Section 3: Descriptive Statistics Seeing the Shape of the Data
Section 4: Inferential Statistics Drawing Conclusions with Integrity
Section 5: Hypothesis Testing Asking Questions with Rigour and Respect
Section 6: Correlation and Regression Exploring Relationships
Section 7: Non-Parametric Tests When Data Doesn’t Fit the Mould
Section 8: Visualisation and Communication Telling Ethical Data Stories
Section 9: Statistical Software and Tools Navigating with Confidence
Section 10: Closing Reflections Statistics as Cultural and Ethical Practice
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