Sample Mean Calculator
Calculate the arithmetic mean (average) of a dataset. Get the sum, count, and step-by-step calculation.
Sample Mean (x̄)
Sum & Count
Data Summary
Step-by-Step Solution
Enter data and click "Calculate" to see the step-by-step solution.
Sample Mean Formula
x̄ = Σxᵢ / n
Where:
- x̄ = sample mean
- Σxᵢ = sum of all values
- n = number of observations
Understanding the Mean
- The mean is the average of all data points
- It represents the central tendency of the data
- Can be affected by outliers (extreme values)
- Also called the arithmetic mean
When to Use
- Finding average test scores
- Calculating average income
- Quality control analysis
- Research data analysis
- Business performance metrics
Frequently Asked Questions
What is the sample mean?
The sample mean (represented by x̄) is the average of a set of numbers. It's calculated by adding all values together and dividing by the number of values. It represents the central tendency of the data.
How do you calculate the sample mean?
Step 1: Add all the numbers in your dataset (find the sum)
Step 2: Count how many numbers you have (find n)
Step 3: Divide the sum by the count: x̄ = Σx / n
What's the difference between sample mean and population mean?
Sample mean (x̄) is calculated from a subset of data, while population mean (μ) uses all data points. Both use the same formula, but sample mean is an estimate when you can't measure the entire population.
Can the mean be negative?
Yes, the mean can be negative if most or all of your data points are negative values. For example, the mean of -5, -3, -2, -4 is -3.5.
What is the mean of 10, 20, and 30?
Sum: 10 + 20 + 30 = 60
Count: 3 numbers
Mean: 60 ÷ 3 = 20