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As I started the Python z-test project, I was amazed at how easy it was to use. Python is an easy-to-use and robust programming language with a plethora of libraries and features. I used Pandas and NumPy to carry out various data manipulations. I wrote a script to check the sample sizes for a z-test and get the Z score and the standard deviation. I then used R to carry out a one-sample z-test on the same data set. It was a really fun experience working with Python. In terms of Python
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Python z-test is one of the most popular statistical tests used for data analysis. Python is an open-source programming language used for data processing, machine learning, and numerical computing. It also comes with built-in functions for performing statistical tests such as t-test, ANOVA, and chi-square test. Python provides a wide range of built-in functions for data analysis, which makes it very useful for data scientists, researchers, and statistical analysts. I also mentioned: Python provides an excellent library, NumPy, which includes a variety
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