Overview
The Box and Whisker Plot, also known as a box plot, is a statistical graph used to visualize the distribution, central value, and variability of data. It provides a concise summary of key data characteristics, including the median, quartiles, and potential outliers. This program offers practical insights into constructing and interpreting box plots, making it easier to compare data sets, detect anomalies, and support data-driven decision-making. Widely used in quality management, research, and performance analysis, this tool simplifies complex datasets into an easy-to-understand format.
- Hands-on sessions using real-life data sets
- Interactive practice with Excel and Python for box plots
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Introduction to Box and Whisker Plots
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Understanding the Elements
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Data Preparation for Box Plots
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Constructing Box Plots by Hand
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Using Software to Create Box Plots
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Interpreting Box Plots
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Comparing Multiple Data Sets
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Box Plots in Quality and Process Improvement
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Limitations and Misinterpretations
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Integrating Box Plots with Other Statistical Tools
Box and Whisker Plot
AED90.00
AED100.00