Using Python (Jupyter notebook), write a code that calculates and prints the standard error of the mean of the rainfall dataset. This is given by the standard deviation of the data divided by the square root of the number of data points.
Using Python (Jupyter notebook), write a code that calculates and prints the standard error of the mean of the rainfall dataset. This is given by the standard deviation of the data divided by the square root of the number of data points.
Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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![Using Python (Jupyter notebook), write a code that calculates and prints the standard error of the mean of the rainfall dataset.
This is given by the standard deviation of the data divided by the square root of the number of data points.
Note: I tried the code sem = np.std(rainfall)/np.sqrt(len (rainfall)) but the output is just the content (the actual values/data)
of the dataset when i print it and not the standard error of the mean.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F995c83ad-e3db-401a-9afc-3ce21e08781f%2F82c01c54-e183-44be-a4ce-1e656786998e%2F2akit9a_processed.png&w=3840&q=75)
Transcribed Image Text:Using Python (Jupyter notebook), write a code that calculates and prints the standard error of the mean of the rainfall dataset.
This is given by the standard deviation of the data divided by the square root of the number of data points.
Note: I tried the code sem = np.std(rainfall)/np.sqrt(len (rainfall)) but the output is just the content (the actual values/data)
of the dataset when i print it and not the standard error of the mean.
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