statistics.py: Write a program that reads a list of integers from the user, until they enter -12345 (the -12345 should not be considered part of the list). Then print the mean, median, and standard deviation of the list. The mean is the average of the numbers. The median is the “middle” value if n is odd, or the average of the two “middle” values if n is even. The standard deviation is the average amount of variability For example: $ python3 statistics.py 15 4 10 2 -12345 mean: 7.75 median: 7 standard deviation: 5.909032633745278
statistics.py: Write a
The mean is the average of the numbers. The median is the “middle” value if n is odd, or the average of the two “middle” values if n is even. The standard deviation is the average amount of variability
For example:
$ python3 statistics.py
15
4
10
2
-12345
mean: 7.75
median: 7
standard deviation: 5.909032633745278
Introduction
Python provides a wide range of libraries and tools that are specifically designed for working with data and statistical analysis. Among them is the statsmodels library that provides powerful tools for statistical analysis and modeling. It contains a wide range of features, including descriptive statistics, t-tests, regression models, and time series analysis. The SciPy library also offers a range of statistics related functions, including the scipy.stats module which contains a variety of probability distributions and statistical functions.
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