Calculate the arithmetic mean (average) of a set of numbers with step-by-step solutions and detailed explanations
Separate numbers with commas or spaces
Numbers: 85, 92, 78, 90, 88
Numbers: 120, 150, 135, 180, 160
Numbers: 72, 68, 75, 70, 73
Numbers: 3.5, 4.2, 3.8, 4.0, 3.9
Numbers: 1000, 1500, 1200, 1800, 1400
The arithmetic mean (average) of n numbers is calculated by summing all values and dividing by the count:
Where are the numbers and is the count.
Example:
Mean of 10, 20, 30 = (10 + 20 + 30) / 3 = 60 / 3 = 20
• The mean is the most common measure of central tendency
• It represents the "average" or "typical" value in a dataset
• Every value contributes equally to the calculation
• The mean is sensitive to outliers (extreme values)
• Used extensively in statistics, finance, and data analysis
📊 Academic Performance
Calculate average test scores, GPA, or class performance metrics
💰 Financial Analysis
Track average daily sales, monthly expenses, or investment returns
⚕️ Health Metrics
Monitor average blood pressure, heart rate, or weight measurements
🌡️ Environmental Data
Analyze average temperature, rainfall, or pollution levels
❌ Ignoring Outliers
One extreme value can significantly skew the mean. Consider using median for skewed data.
❌ Mixing Units
Ensure all numbers use the same units (e.g., don't mix feet and inches).
❌ Division by Zero
You need at least one number to calculate a mean.
✅ Best Practice
Check for outliers and consider whether mean or median is more appropriate for your data.
| Measure | Definition | Best Used When | Example |
|---|---|---|---|
| Mean | Sum divided by count | Data is symmetric with no outliers | Test scores: 80, 85, 90 → Mean = 85 |
| Median | Middle value when sorted | Data has outliers or is skewed | Salaries: 40K, 45K, 200K → Median = 45K |
| Mode | Most frequent value | Categorical or discrete data | Shoe sizes: 8, 8, 8, 9, 10 → Mode = 8 |
Free lessons on mean, median, mode, and summarizing quantitative data.
Open-source college-level textbook covering measures of central tendency.
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