Okay then a normal distribution. So, normal distribution is one or more important theory and nearly ah statistical testing require the data to be distributed normally. So, what is normal distribution normal distribution I will say slightly ah I will say is like a lobby normally called the bell curve or the distribution. So, this is a Belka okay. So, normal distribution we have something like this for the data that we have are these mean and standard deviation case. So, how do we a CI No matter how our data is distributed normally so we can use the histogram.

So in Python programming, we can create a histogram using something like this. So we need to import matplotlib library, so she'll be something Id okay. So, import mat plot. Live talk. Today Let me see dot p y prop p y prop as PLT as PLT. Then we also need the ah, pandas and NumPy.

So, import NumPy as NP Import pandas as PD okay then to plot the histogram here, you can use something PLT dot histogram, then the causal model variable that we want to apply the histogram and that beings. So we can do something like this. Okay? Here T dot histogram, then df, the column that we want to plop okay SEPA land. Okay then we should be able to put in beings to beings equal 20. Then, prt, while a boy a cannonball times and then PLT dot show p t. da y labor.

So number o times a just labor and then PLT dot show. Okay, that and Rhonda cool. Okay, no pandas need to Asya matplotlib has no he got his case he has to be histogram. Okay. So we have a histogram here