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Range and outliers
What You'll Learn
Calculate the range by finding the difference between highest and lowest values
Order data sets from least to greatest to identify extreme values
Identify outliers as values that differ significantly from other data points
Apply mean, mode, and median to determine missing values in data sets
Use number lines to visualize data distribution and detect outliers
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
Skills
Range
Outliers
Data Analysis
Mean
Mode
Ordering Data
Statistics
SK Curriculum Aligned