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Statistical Analysis is the practice of using data to understand performance, identify patterns and support evidence-based decision-making. At Leanscape, this tag brings together articles, insights and practical guidance on how statistical analysis is applied to improve processes, reduce variation and deliver measurable performance improvement.
Effective statistical analysis is not about complex mathematics for its own sake. It focuses on using the right data and the right methods to answer meaningful business questions. Explore content covering descriptive and inferential statistics, variation analysis, hypothesis testing and data interpretation. These resources show how statistical analysis helps teams move beyond assumptions and opinions to facts and insight.
This collection also explores how Statistical Analysis supports Lean, Lean Six Sigma and data-driven improvement. Articles examine how tools such as control charts, process capability analysis, ANOVA, regression and basic data visualisation are used within improvement projects and operational environments. You’ll find insights into how statistical analysis helps identify root causes, evaluate solutions and verify that improvements are delivering real results.
For improvement practitioners, statistical analysis provides a structured way to analyse problems, test ideas and validate outcomes. For leaders and managers, it supports better performance conversations by distinguishing between normal variation and genuine issues that require action. The emphasis is on applying statistical thinking proportionately and practically, ensuring analysis informs decisions rather than creating unnecessary complexity.
Whether you are delivering improvement projects, strengthening performance management or building organisational capability, this collection shows how Statistical Analysis enables clearer understanding, better decisions and more effective, sustainable improvement by turning data into insight and action.
Multiple regression is a statistical technique that is used to predict the dependent variable based on one or more independent
A lean six sigma initiative is only as good as the data that supports it. A minimum sample size of
In business, it is essential to understand how to analyze data to make sound decisions. One tool that can be
Measles charts are a practical tool for collecting data that helps when analysing the location of failures in a product
A matrix plot is a type of chart that allows you to visualize data in a matrix format. Typically, a
A Kruskal-Wallis Test compares the medians of two or more groups. It is a nonparametric alternative to the ANOVA which
The Johnson Transformation is a mathematical transformation used to create new
Hypothesis testing can help! With hypothesis testing, business professionals are empowered with actionable insights that
A histogram is a graphical representation of data that shows how often each value occurs. It is used to summarize
The quality of measurement data is essential for making sound decisions in product development and manufacturing. To ensure data quality,
As the pace of change accelerates, organisational success increasingly depends on the ability of leaders to guide teams through transformation.
Operation management consulting helps businesses streamline their operations and enhance efficiency. This article covers what it includes, its main focus
In the realm of Lean manufacturing and continuous improvement methodologies, understanding the three primary types of wastes is crucial for
Interested in Lean training UK? Learn how it can enhance your problem-solving skills, connect you with industry experts, and open
A lean six sigma initiative is only as good as the data that supports it. A minimum sample size of
Understanding the connection between business and management is crucial for any successful enterprise. Business refers to the activities involved in
Project management is the process of planning, organising, and managing resources to achieve specific goals. It involves creating and
The Quality Assurance Society (QAS) is a 501(c)(3) not-for-profit professional membership organization committed to the development, promotion, and advancement of
“All we are doing is looking at the timeline, from the moment the customer gives us an order to the
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