Understand the arithmetic mean formula, including mathematical notation and step-by-step explanation for ungrouped and grouped data.
Mean = (Sum of all values) / (Total number of values)
The mean formula is used to calculate the arithmetic mean, a fundamental measure of central tendency in descriptive statistics. It determines the average value of a dataset by dividing the total sum of observations by the number of observations.
This page covers all major statistical mean formulas, including:
Arithmetic mean formula
Sample mean formula
Population mean formula
Mean formula for grouped data
Assumed mean formula
Weighted mean formula
The basic arithmetic mean formula is:
Mean = Σx / n
Where:
Σ (Sigma) = Summation symbol
x = Individual observation
Σx = Sum of all observations
n = Number of observations
This formula is used for ungrouped raw numerical data.
The sample mean represents the average of a subset of a population.
x̄ = Σx / n
Where:
x̄ (x-bar) = Sample mean
Σx = Sum of sample observations
n = Sample size
The sample mean is commonly used in statistical estimation and inferential statistics.
The population mean represents the true average of an entire population.
μ = Σx / N
Where:
μ (Mu) = Population mean
Σx = Sum of all population values
N = Total number of elements in the population
The population mean is considered a population parameter.
This distinction is fundamental in statistical analysis.
When data is organized into a frequency table, the mean formula becomes:
Mean = Σfx / Σf
Where:
x = mean
𝑓 = Frequency of each class
𝑥 = Class midpoint
∑fx = Sum of ( frequency × midpoint )
∑f = Total frequency
Steps:
Determine the midpoint of each class interval
Multiply each midpoint by its frequency
Sum all fx values
Divide by total frequency
This formula is used in statistical tables and frequency distributions.
The assumed mean method simplifies grouped data calculations.
Mean = A + (Σfd / Σf)
Where:
A = Assumed mean
d = Deviation from assumed mean (x − A)
f = Frequency
Σfd = Sum of frequency × deviation
Σf = Total frequency
This method reduces computational complexity for large datasets.
When values carry different levels of importance (weights), the weighted mean formula is used:
Weighted Mean = Σwx / Σw
Where:
w = Weight assigned to each value
x = Observation
Σwx = Sum of weighted values
Σw = Total weight
The weighted mean is widely used in finance, economics, and academic grading systems.
Statistical notation is essential for applying mean formulas correctly.
The mean formula is foundational for calculating variance, standard deviation, and other statistical measures.
The arithmetic mean formula is:
Mean = Σx / n
It divides the sum of observations by the total number of observations.
Sample mean uses x̄ = Σx / n, while population mean uses μ = Σx / N.
Σ (Sigma) represents summation.
Mean = A + (Σfd / Σf)
It is used in grouped data to simplify calculations using an assumed mean.