I can still remember the nightmare when I first studied Statistics in my Bachelor a few years ago. It was a nightmare because we were asked to do all the exercises and exams on paper without cheat sheets and even calculators. However, the Statistics course in my Master turned out much more interesting as all the exercises and exams were conducted online and we were allowed to use Excel formulas as well. A couple of days ago when I came across Foundations of Probability in R on DataCamp I realized that learning statistics could be much better with random simulation and data visualization in R. This course is quite fundamental and nothing new to me but the idea behind it is very appealing.

Binomial Distribution

Let’s say I’m flipping a fair coin (50% chance of “heads” and 50% chance of “tails”) 10 times in an experiment, how many “heads” I will end up with?

If lucky, I may have 10 “heads” at most, or on the other hand, I don’t have any “heads” at all, but most likely it is in between. Let’s suppose the number of “heads” (X) is 4 at my first try.

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