Discrete Random Variables: Distributions 2

We explore the properties of a discrete distribution of a random variable for the number of ice creams sold. This includes finding the expected value, variance and standard deviation for the original distribution, two distributions added together, the distribution times a constant, and the distribution plus a constant.
Note that there is an error at 7:13. It should say Var (aX) = a^2 Var(X). (The constant is squared)

#DrNicStats #Statistics #Probability

[tunia]

9 years later and this video is still as helpful as ever, thanks dr❤

[jbrowsingj]

Really excellent video. So easy to follow. I can't imagine it being any more clear than it is.

Thank you!

[miguelzavala]

Really, Really great video! Easy to understand everything

[themelbeliever]

Great video ma 😊
Thanks for the compensation 🤭

[jiayiluo]

there is a small mistake on 7:13: Var(aX)=aVar(X)

[mlem]

The notation at 2:!0 is a bit confusing. In Var(X) = E(X)^2 - [E(X)]^2 I didn't get that the E(X)^2 meant that the X is squared before we get the expectancy. Minor detail though, good video 👍

[gavinbaumanis]

Let's assume that I understand the Math - I don't but that's ok... What is the reasoning behind combining multiple distributions? Why would I use a constant? As always - Thanks!

[memetrizwangul]

Var(aX) = a^2*Var(X）right? I am a little confused by the summary at 7:16 of the video

[tarb]

This was so clear! Although I still don't get how we go from a real world hypothesis to a probability value. What process determines us being able to say this is the "probability" this hypothesis is true.

[johnhammer]

Arithmetic on random variables is pretty hard to grasp intuitively.

[prodroma]

DR. Nic, are you still receiving emails, i need your advice, can i contact you?

[ianjaydelosangeles]

3:24 lol. just got rekt. Hm, isnt that two persons both male?