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Margin of Error Formula – Table of Contents
What is Margin of Error Formula?
The term “margin of error” is a statistical expression that refers to the random sampling error present in the result of a survey. A higher error indicates that there is a high chance that the result of the sample reported may not be the true reflection of the whole population. The formula for margin of error is calculated by multiplying critical factor (for a certain confidence level) with the population standard deviation and then the result is divided by the square root of the number of observations in the sample.
Mathematically, it is represented as,
where
 z = critical factor
 ơ = population standard deviation
 n = sample size
Explanation of the Margin of Error Formula
The equation can be derived by using the following steps:
Step 1: Firstly, gather the statistical observations to form a data set called the population. Now, calculate the mean of the population. Next, compute the population standard deviation based on each observation, the population means and the number of observations of the population as shown below.
Step 2: Next, determine the number of observation in the sample and it is denoted by n. Remember that sample size is less than equal to the total population, i.e. n ≤ N.
Step 3: Next, determine the critical factor or the zscore based on the desired confidence level and it is denoted by z.
Step 4: Next, finally the equation is calculated by multiplying critical factor for the desired confidence level and the population standard deviation, and then the result is divided by the square root of the sample size as shown above.
Example of Margin of Error Formula (with Excel Template)
Let us take the example of 900 students who were part of a survey and it was found that the average GPA of the population was 2.7 with a population standard deviation of 0.4. Calculate the margin of error for
4.9 (927 ratings)
 90% confidence level
 95% confidence level
 98% confidence level
 99% confidence level
We are going to use the following data for the calculation of margin of error equation.
For a 90% Confidence Level
For a 90% confidence level, the critical factor or zvalue is 1.645 i.e. z = 1.645
Therefore, the error at a 90% confidence level can be done using above the formula as,
 Formula = 1.645 * 0.4 / √900
Margin Error at 90% confidence level will be
 Error = 0.0219
For a 95% Confidence Level
For a 95% confidence level, the critical factor or zvalue is 1.96 i.e. z = 1.96
Therefore, the calculation of margin of error at a 95% confidence level can be done using the above the formula as,
 Margin of Error Formula = 1.96 * 0.4 / √900
Margin Error at 95% confidence level will be
 Error = 0.0261
For a 98% confidence level
For a 98% confidence level, the critical factor or zvalue is 2.33 i.e. z = 2.33
Therefore, the calculation of margin of error at a 98% confidence level can be done using the above the formula as,
 Margin of Error Formula = 2.33 * 0.4 / √900
Margin Error at 98% confidence level will be
 Error = 0.0311
Therefore, the error for the sample at 98% confidence level is 0.0311.
For a 99% confidence level
For a 99% confidence level, the critical factor or zvalue is 2.58 i.e. z = 2.58
Therefore, the calculation of margin at a 99% confidence level can be done using the above the formula as,
 Margin of Error Formula = 2.58 * 0.4 / √900
Margin Error at 99% confidence level will be
 Error = 0.0344
Consequently, it can be seen that the error of a sample increases with the increase in confidence level.
Margin of Error Calculator
You can use the following margin of error calculator.
z  
σ  
n  
Margin of Error Formula =  
Margin of Error Formula = 
 

Relevance and Uses
It is very important to understand this concept because it indicates how much can one expect that survey results actually reflect the true view of the overall population. It should be kept in mind that a survey is done using a smaller group of people (also known as survey respondents) to represent a much larger population (also known as the target market). The margin of error equation can be seen as a way of measuring the effectiveness of the survey. A higher margin indicates that the survey results may stray from the actual views of the total population. On the other hand, a smaller margin indicates that the results are close to the true reflection of the total population which builds more confidence about the survey.
Recommended Articles
This has been a guide to Margin of Error Formula. Here we discuss how to calculate Margin of Error using its formula along with practical examples and downloadable excel template. You can learn more about financial analysis from the following articles –
 Population Mean Formula
 Financial Analysis  Definition
 Most Common Financial Analysis Tools
 How to Use Standard Deviation Formula in Excel?
 Calculate Sample Standard Deviation Formula
 Calculate Relative Standard Deviation Formula
 Calculate Tracking Error
 Random vs Systematic Error Comparison
 Formula Errors in Excel
 Calculate Portfolio Variance
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