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How to Find the Range in Statistics and Identify Outliers
Discover how to calculate the range of a data set, spot outliers with the 1.5 IQR rule, and see why one extreme value can change your results.
What You'll Learn
Calculate the range of a data set by subtracting the smallest value from the largest value.
Recognize an outlier as a data point that sits far away from the rest of the values in a set.
Apply the 1.5 times IQR rule to test whether an extreme value truly counts as an outlier.
Compare the range with and without an outlier to see how much one extreme value can distort it.
Connect range and outliers to measures of center like mean and median for a fuller data summary.
What You'll Practice
1
Computing range for data sets with positive and negative integers
2
Identifying outliers using number line plots and clustering analysis
3
Solving for unknown values using mean equations and algebraic manipulation
4
Calculating new range after removing outliers from data sets
Why This Matters
Understanding range and outliers is essential for analyzing real-world data in science, sports, and statistics. These skills help you identify unusual measurements, detect errors in experiments, and understand data variabilitycritical abilities for any field that relies on data analysis.
Before You Start — Make Sure You Can:
This Unit Includes
8 Video lessons
Practice exercises
Learning resources
Skills
Range
Outliers
Data Analysis
Mean
Mode
Ordering Data
Statistics
FL Curriculum Aligned