Statistics, Machine Learning, Data Science, Financial Planning, Python.
or not. Commonly, the significance level is set to 0.05, which means we are willing to accept a 5% chance of making a Type I error (incorrectly rejecting a true null hypothesis). Since the p-value (0.0) is less than the significance level (alpha = 0.05), we reject the null hypothesis. Therefore, we