1.5×IQR Statistical Outlier Rule Interactive Add‑In for Excel | Statistics Education Tool

The 1.5×IQR Statistical Outlier Rule: Interactive Excel Add‑In for Data Analysis

The 1.5×IQR Statistical Outlier Rule Interactive Statistics Education Add‑In for Microsoft Excel makes it easy to identify outliers, visualize distributions, and generate detailed statistical reports directly inside your workbook. With a single click, the Add‑In analyzes the data you select in Column A of Sheet1 and produces on‑screen alerts, charts, and a comprehensive statistical summary.

This tool is ideal for students, analysts, and professionals who want fast, accurate insights using the widely trusted 1.5×IQR outlier detection method.

What the 1.5×IQR Statistical Outlier Add‑In Provides

When you select a column of numeric data, the Add‑In automatically generates a full statistical analysis, including:

Descriptive Statistics

• Mean, median, standard deviation, variance

• Percentiles and quartiles

• Distribution shape (positive skew, negative skew, or normal)

Outlier Detection

• Identification of statistically high and low outliers

• Box‑and‑whisker plot visualizations

• Box‑and‑whisker diagrams with and without outliers

• A new dataset with outliers automatically replaced

Trend and Distribution Analysis

• R and R‑squared values to summarize positive, neutral, or negative trends

• Histogram bin count and interval width

• Automatically generated histogram for spotting outlier values

• Scatterplot to visualize trends and anomalies

Comparative Analysis

• t‑Test comparing your dataset with and without outliers

• Descriptive statistics for:

  • Original data

  • Data without outliers

  • Data with outliers replaced

Additional Features

• Data transformation tools

• Forecasting modules (not shown in the demo video)

These features make the Add‑In a powerful companion for anyone performing exploratory data analysis, quality control, or statistical education.

Step‑by‑Step Tutorial: How the Add‑In Works

The Add‑In includes a guided workflow that walks you through the entire outlier analysis process. Here’s the sequence you’ll follow:

1. Add the Add‑In to Excel

2. Open the “Outlier Analysis” tab

3. Click the “Find Outliers” button

4. Select your column of data

5. Review the Outlier Analysis Conclusion

6. Analyze the Descriptive Statistics Report and Charts

7. Continue reviewing descriptive charts and summaries

8. Explore additional descriptive visualizations

9. Complete the descriptive analysis review

10. Interpret the Histogram Analysis Conclusion

11. Review the Trend Analysis Conclusion

12. Compare results With vs. Without Outliers

13. Examine the Box‑and‑Whisker Plot comparison

14. Review the Student’s t‑Test Analysis Conclusion

This structured workflow ensures you understand not only where outliers occur, but also how they affect your dataset’s distribution, trends, and statistical significance.