P Value: A Complete Guide to Statistical Significance Testing
Key Takeaways A p value represents the probability of observing your data (or more extreme results) if the null hypothesis
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Lean and Lean Six Sigma provide the foundation for structured, sustainable improvement.
At Leanscape, these disciplines are not treated as standalone toolkits, but as integrated approaches for improving how work flows, how problems are solved, and how organisations learn over time.
This category brings together practical insights on applying Lean principles and Lean Six Sigma methods in real organisational contexts. From frontline process improvement to enterprise-wide capability building, our articles focus on how teams can reduce waste, improve quality, and deliver better outcomes for customers and stakeholders.
Lean thinking emphasises flow, value, and simplicity. You will find content on continuous improvement, standard work, visual management, and value stream mapping, all aimed at helping organisations see their processes clearly and remove activities that do not add value. These concepts apply equally to manufacturing, services, and knowledge work.
Lean Six Sigma adds a disciplined, data-driven approach to problem solving. Our articles explore the practical use of the DMAIC framework, root cause analysis, and statistical thinking to tackle complex performance issues. Content spans Yellow Belt, Green Belt, and Black Belt level, supporting both individual practitioners and organisations building internal improvement capability.
A consistent theme across this category is the link between method and behaviour. Tools alone do not deliver results unless they are embedded into everyday ways of working. We therefore focus on how Lean and Lean Six Sigma are applied in practice, including project selection, governance, leadership support, and sustaining gains over time.
This category is particularly relevant for improvement practitioners, operational leaders, and anyone involved in delivering change through structured problem solving. Whether you are starting your Lean journey, running improvement projects, or scaling Lean Six Sigma across the organisation, the objective remains the same: measurable improvement, built on evidence, and sustained through capability rather than reliance on experts.
Key Takeaways A p value represents the probability of observing your data (or more extreme results) if the null hypothesis
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