The Analytical Capacity (lab) course is designed for professionals seeking to strengthen their skills and solve common workplace challenges. It combines theory and practice to ensure participants can apply knowledge directly in their organizations. **Learning Objectives:** • Understand the fundamentals and practical applications of the topic. • Develop problem-solving skills for recurring business challenges. • Apply tools and methods that improve efficiency and results. • Promote sustainable improvements in processes and teams.

Requisitos

There is no prerequisite

Workload

24 hours

Formatos

In-person and Online

Content

**Basic Structure:** • Process View • Introduction to Minitab • Importance of statistical significance on decision making • Basic Statistics (measurement of position and scatter) • Basic Charts (Pareto, Scatter, Box Plot, Trend) • Analysis of Correlation and Simple Regression • Measurement System Analysis (MSA) • Capability for discrete and continuous data (Xbarra-R, Xbarra-S, IMR) • Hypothesis Test (comparing averages, medians and variation using: ANOVA, 1-Sample-T, 2-Sample-T, F-Test, Levene Test) • Normal Distribution and Other distributions • Normality Test • Analysis of Capability for non-normal data; • Box-Cox Transformation; • Practical exercises using daily examples of the department (brought by participants in the training, but 20 days previously sent to SETA for the instructor knowledge) **Workload:** 24 hours **Pre-Work:** Not available **NOTE:**  There is the option of using Minitab or Action software for statistical analysis