try it yourself want you to dive in here and actually play around with itmake it realso try out different parameters on generating that normal data rememberthis is measure of the shape of the distribution of the dataso what happens if change that center pointdoes it matterdoes it actually affect the shapewhy don' you try it out and find outtry messing with the actual standard deviationthat we've specifiedto see what impact that has on the shape of the graph maybe try standard deviation of and you knowyou can see how that actually affects things let' make it even more dramaticlike just play around with you'll see the graph starting to get little bit fatter play around with different valuesjust get feel of how these values work this is the only way to really get an intuitive sense of standard deviation and variance mess around with some different examples and see the effect that it has so that' standard deviation and variance in practice you got hands on with some of it thereand hope you played around little bit to get some familiarity with it these are very important concepts and we'll talk about standard deviations lot throughout the book and no doubt throughout your career in data scienceso make sure you've got that under your belt let' move on probability density function and probability mass function so we've already seen some examples of normal distribution function for some of the examples in this book that' an example of probability density functionand there are other types of probability density functions out there so let' dive in and see what it really means and what some other examples of them are the probability density function and probability mass functions we've already seen some examples of normal distribution function for some of the code we've looked at in this book that' an example of probability density functionand there are other types of probability density functions out there let' dive in and see what that really means and what some other examples of them there are