What is Hypothesis Testing ? Math, Statistics for data science, machine learning

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What is hypyothesis testing. What is the null hypyothesis and alternate hypyothesis? In this video we will answer these questions in a way that a high school student can also understand it easily

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❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.
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I just had a 2 hours long lecture on hypothesis testing as part of my MSc but that lecture has not given me as much as this 14min video has helped to simplify the fundamental understanding behind it. Great job bro. You are a role model for me. Want to become like you one day.

nster
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I love how you took 2-3 minutes to explain WHY are we testing. many people forget the why and jump into how immediately. thank you.

fa
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I am currently learning statistics in my college but I gained a lot more knowledge by watching this video compared to my whole syllabus.
Great work sir 👏

MascElev
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can you please make videos on all the techniques, z-test, t-test, anova and chi-square test, that will be very helpful...

hemangdhanani
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Thanks a lot! Some times all you need is someone to explain things like you are five.

Also Aryabhatta rejected the null hypothesis much before than Copernicus.

sinhamohit
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OMG how can I miss ur brilliant teacher ...can't describe ur teaching it's totally amazing, I spent 2 hr in Google read lot of website content but couldn't unstd..18 mint more effective in my life...

DeepaDeepa-ybbw
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You are simply sooperr...Before looking this video..I had gone thru theory..but I didn't got nothing..But after seeing your video..I got clear cut idea about HYPOTHESIS TESTING.. REALLY I admire ur way of analysis thru simple anologies..

Thank you so much 🙏🙏🙏

sasivardhanthota
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Thank you! The series was super useful! I would love to see a video on various types of tests (z, t, annova, chi-square). Thanks.

sagarutturkar
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With just one video, you taught me more than I learned in my marketing research classes. Thanks bhai

taeefnajib
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Could you please make videos on t, annova, chi-square test?

pk-yufl
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I liked this video very very much, the examples u given were ultimate
I think the people who are from non statistics background may be little bit confused.
But as a statistics background student i know what the further process is, i felt these explanation with examples mentioned was best.❤

durgabhavani
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your way of teaching is awesome even colleges class which student is paying 1.25lakh per semester

nikhilkulshrestha
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You are doing absolutely Great Work, sir.

laughwithsaqib
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Excellent explanation. From that video, I think we can sum up the point that; Hypothesis testing is to reject the "established statement (H0)" in order to prove the "New Statement (Ha)". Where the H0 statement is opposite to the New Statement.

istiaqahmedfahad
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Wow man awesome after scrolling through a lot of videos on yt you explained very well

akashtiwari
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This your explanation is simplistic and awesome

danielowusu
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Hey codebasics, love the videos but there is one fallacy with your point about randomness. True randomness actually doesn't exist and let me explain why. "Nature tricks you" is not a valid answer to why there is an underlying reason to why outcomes occur.

The true reason is that you are human with limited capabilities and understanding of how everything around you works considering you did not create everything around you. To the human, it can be perceived as randomness, but in all actuality, all outcomes have a reason to why they occur.

In one example, if you were to flip the coin and it lands on heads 5 times in a row, there are a multitude of factors as to why that could occur. Depending on whether the coin was on tails or heads in the beginning, depending on the force and strength exerted when flipping the coin, the height of the coin before it was flipped, etc.

If you were to ask a physicist how a bowling ball transfers force through bowling pins, they would be able to get exact calculations to understand why the bowling ball affected the pins and led them to result in their location after the force. With these calculations if the exact amount of force was applied from the bowling ball to the pins you would be able to replicate the result perfectly each time through the math. However, if you were to ask a human who is unaware of the laws of physics to them the result of the bowling pins after the impact of the bowling ball certainly would be quite random.

I disagree with you in that "this is the natural law" that things happen randomly and you have no other explanation as to why it seems quite illogical and I am honestly quite surprised, with that logic, it would be pretty impossible that all of us even exist if things were based on randomness because the way our bodies even work is quite sophisticated and all of the internal properties work quite seamlessly 24/7 without our control. Scientifically everything has a measurement and specific pattern, just because we don't understand or have the capability to compute all laws, measurements, and patterns, it doesn't mean that it is random and because nature tricks you. If anything, this should allow us to push and understand more rather than stopping at that.

Hope this makes sense,

PurpleTurkeyPatty
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Sir, please make a series of all hypothesis test techniques, When and How to use these techniques with practical examples?

shubhamjha
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This is the best video so far to me about hypothesis testing, you have gained my respect with your explanation skill, keep doing it, all the best.

veeranjaneyuluakula
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You are good. Lemme sum up here what I have learned from this video:
There is an established fact. Like say 'animals need to eat in order to survive'. But one day a crazy scientist came up with 'animals don't need food in order to survive'. So, in terms of statistics, we need to prove it. We can perform hypothesis testing here. In order to establish the new theory all we need to void out the established one and old one will be automatically replaced by the new one. So, what need to do? We need to nullify the already established one that 'animals need food to survive'. This is the one we are nullifying and this is the reason we call it null hypothesis. And alternate hypothesis is the second one that came as the alternate of already established one, 'animals don't need food to survive'. We nullify the already established one why it is called null hypothesis in order to establish new (alternate) one.
TLDR, we need to drag down the top one (or nullify it) in order to put the second one (alternate) to the top. We don't need to put effort on second one to be better to reach the top position, all we need to do is spoil the top one that second one automatically will hold top position. That's all about hypothesis testing. It's a cruel world.

anmjubaer