scipy.stats.normaltest (array, axis = 0) checks if the sample differs from the normal distribution. This function tests the null hypothesis of the population from which the sample was taken.
array: Input array or object having the elements.
axis: Axis along which the normal distribution test is to be computed. By default axis = 0.
Returns: k2 value and P-value for the hypothesis test on data set.
Code # 1: strong>
Normal test for given data: NormaltestResult ( statistic = 146.08066794511544, pvalue = 1.901016994532079e-32)
Code # 2:
Normal test for given data: NormaltestResult (statistic = 344.05533061429884, pvalue = 1.9468577593501764e-75)
Automate the Boring Stuff with Python PDF, 2nd Edition: Practical Programming for Total Beginners Illustrated Edition. The second edition of this Python bestseller (over 100,000 copies sold in prin...
Black Hat Python, 2nd Edition: Python Programming for Hackers and Pentesters PDF, 2nd Edition. Fully updated for Python 3, the second edition of this worldwide bestseller (over 100,000 copies sold)...
Since you are interested in learning more about designing data visualizations (by virtue of the fact that you’re reading this book), then chances are good that you have been the reader of other peop...
90 SPECIFIC WAYS TO WRITE BETTER PYTHON. The Python programming language has unique strengths and charms that can be hard to grasp. Many programmers familiar with other languages often approach Pyt...