Time Series Analysis, Data Science, Python, Weather, Statistics.
we select a significance level α, which is usually 5%. In essence, α is the probability of incorrectly rejecting the null hypothesis when it is actually true. So in our case, α=5%, there is 5% risk of concluding that the time series is stationary, when it’s actually not. The test result will give