Comments on: A Brief Introduction to Probability & Statistics

By: Data Science

Data Science — Fri, 13 Mar 2020 15:12:18 +0000

Thanks for writing this post. This article provides far sighted approach to probability and statistics. I was able to relate how both these terms are related especially from the example of animals and footprints.

In short, article provided pleasant taste of probability with statistics. From my side, there are some points which also needs to be pondered which are mentioned below. I hope these points can further chew more insights with respect to probability and stats.

1.) Probability with the help of random variable and probability distribution graph can help to grow the business and increase sale.
2.) It in fact helps in analysing the behaviour of customers while shopping (talk is with respect to their payment methods) and helps to serve them better.

To discuss such point and bring out causation with respect to this domain, i also made a small effort by presenting the below video. I hope this will be some use.

https://bit.ly/39OyoGT

By: Nandini

Nandini — Tue, 16 Jan 2018 07:39:26 +0000

Hey kalid, I have been struggling a lot in understanding the logic behind this:
Median=l+(n/2-cf)/f*h
I know I can use this formula when a question related to continuous grouped data pops up! But how can I figure what’s going on inside this equation? How can I understand the logic behind this?

By: Malgosia

Malgosia — Wed, 10 Jan 2018 16:50:01 +0000

Love this!!

By: Yulia

Yulia — Fri, 08 Dec 2017 09:18:03 +0000

I did not get with all analogies…e.g. let’s have the trajectories of other planets seeing from the earth – it is seen as retrograde motion, so far long ago Copernik was looking at these trajectories and proposed another model heliocentric vs. existent geocentric. This is statistics – see the data and figuring out what model creates these data. Looking backward: we know the heliocentric and geocentric models, and we know that in both models planets creates these trajectories for sure. Where is probability here? In these case, we are dealing with proven facts, not with uncertainty. Help to understand, please. Similarly, with the bear example – we know for sure what kind of footprints the bear could leave if we know his parameters…where is probability here? The probability dealing with events, not models…so I am confused, would appreciate more explanation to understand.