Outliers and Data Quality
To teach students how to identify and handle outliers, and how to use the Analysis ToolPak to compute descriptive statistics.
- ▶Identify outliers using z-score analysis and business context
- ▶Evaluate data quality and defend cleaning decisions
- ▶Explain why outliers matter to planning and forecasting
This lesson follows a structured 6-phase learning model designed for authentic project-based learning.
Hook
Review previous learning and connect to today's application activities
Introduction
Introduce Descriptive statistics: mean, median, standard deviation, and z-scores and connect to business applications
Guided Practice
Work through structured examples applying Descriptive statistics: mean, median, standard deviation, and z-scores with teacher support
Independent Practice
Apply Descriptive statistics: mean, median, standard deviation, and z-scores independently to solve authentic business problems
Assessment
Demonstrate understanding through formative assessment and peer evaluation
Closing
Consolidate learning and connect to broader unit goals and real-world applications