9/21/2023 0 Comments Calculate standard error![]() The Output of the above code is shown below. Note that we must specify ddof=1 in the argument for std() function to calculate the sample standard deviation instead of population standard deviation. Using std() function we calculated the standard error of the mean. In the above code, we import numpy library to define the dataset. Print("The Standard error of the mean : %.3f"%result) Result = np.std(data, ddof=1) / np.sqrt(np.size(data)) Let’s understand, how to calculate the standard error of mean (SEM) with the given below python code. pip install numpy Example 1: How to calculate SEM in Python If you don’t have numpy package installed, use the below command on windows command prompt for numpy library installation. We will be using the numpy available in python, it provides std() function to calculate the standard error of the mean. Standard error of the mean (SEM) = s / √n The Standard error of the mean for a sample is calculated using below formula: ![]() ![]() 7 Conclusion Standard Error of the Mean Formula ![]()
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