The 1.5(IQR) Statistical Outlier Rule Interactive Statistics Education AddIn


Receive custom, on-screen message alerts with the 1.5(IQR) Statistical Outlier Microsoft Excel AddIn when you select a column of data (excluding the column heading) in "Column A" on "Sheet1" of your Excel workbook to create visuals of your data, and a full statistical report with the following information as you see in the video about the 1.5(IQR) Statistical Outlier AddIn:

  • all key descriptive statistics (eg. Standard Deviation, Mean, Variance, Percentiles)
  • whether your data is positively or negatively skewed or normally distributed
  • which values in your dataset are statistically high or low outliers
  • the R and R-squared statistics to summarize a positive, neutral or negative trend
  • the # of bins and interval width for building a histogram of your data
  • an actual histogram of your data for isolating outlier values
  • a scatterplot of your data to identify trends and outliers
  • a box & whisker plot diagram to visualize statistically high or low outliers
  • box & whisker diagrams of your data with and without outliers
  • a t-Test report to compare your data with and without outliers
  • a new dataset with outliers automatically replaced
  • descriptive statistics with and without data outliers, and with outliers automatically replaced
  • EXTRA: there are also data transformation and forecasting modules not in video
The 1.5(IQR) Statistical Outlier AddIn walks you through the following tutorial that you can follow on your own dataset: Step 1: Add the AddIn in Excel Step 2: Select the 'Outlier Analysis' Tab Step 3: Click the 'Find Outliers' Button Step 4: Select Your Column of Data Step 5: Outlier Analysis Conclusion Step 6: Descriptives Report and Charts Analysis Step 7: Descriptives Report and Charts Analysis Step 8: Descriptives Report and Charts Analysis Step 9: Descriptives Report and Charts Analysis Step 10: Histogram Analysis Conclusion Step 11: Trend Analysis Conclusion Step 12: With vs. Without Outliers Analysis Conclusion Step 13: With vs. Without Outliers Box & Whisker Plot Step 14: Student's T-test Analysis Conclusion

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