Statistical Data Analysis - Part 2 : kzfaq.info/get/bejne/i66HlMiWrsWngYU.html More Statistics courses: kzfaq.info/sun/PLmAuaUS7wSOOI9LXA5mqh3SEX6SZF7TNd

The clearest stat lecture I ever got. Mind-blowing explanation.

This 1 3hr video has been more helpful to me than all my lectures. Thank you so much for the extra detail. It's MSc level content in undergrad language - which most of us need because we not statisticians yet :)

Geek's Lesson I just want to say thank you for all the great stuff you keep putting. I can't appreciate you enough. You are awesome.

Thank you so much for such detailed content. It is so easy to understand and follow. Truly worth the time.

This looks like just the info I need to help me with a project I've been working on. super excited to watch through this. I need my notebook

Thanks for your great help. I’m now loving data analysis

The content and delivery is nothing but perfect.

thanks for the lectures! excellent delivery!

I love all of your videos. Its awesome that you can produce such quality content. I have learnt a lot from your videos. Thanks

To maximize the learning process, you watch and finish this video first then after which you supplement with further reading on books for further enhancement and learning... thats the way i do it.

I love Statistics:)

I love this. Great job.

Need help for the part of choosing Levene test and Brown Forsythe test, Geek mentioned: - Use Levene test: if data is symmetrical and heavy tailed - Use Brown Forsythe test: if data is non-normal and are skewed Questions: 1. Geek also mentioned that Levene test is non-parametric but why here saying the term "symmetrical"? 2. and isn't "heavy tailed" and "skewed" the same? It was mentioned without graphs and so quite hard to tell the difference thanks in advance

Can I start with this video lecture as an absolute beginner or are there any prerequisites? Though I have just started learning calculus and have a fair grasp of elementary mathematics including the numbers system.... Please enlighten 🙏

Hi ,, I have one dependent variables called ( IWFP billion m3 ) for 3 crops. and 4 independent variables ( RWr billion m3 year-1 + Ta Celsius + precipitation mm + productivity kg/ha for 3 crops) Yearly data for a country Observation 19 years I want to do the analysis and see the effect of independent variables, Please any suggestions, which is the perfect model I can apply and dealing with ?? , thank you in advance

ML engineer and data scientist in big company like google are they use libraries for their work or do their own code?

Nice piece of work

Excellent

Thank you

Great struggle

What would the most appropriate statistics to use on a population that had sinusoidal or quasi-sinusoidal populations such as daily or yearly temperatures at any given site?

the index Timestamp is wrong。

Great! Could you please send your slide?

Sir volume is not enough

تعيش امريكاء وحكومتها وشعبها

UNISA applied statistics II and III students park here. STA2601 and STA3701.