Chi-Square Test: Goodness of Fit
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- čas přidán 10. 09. 2024
- This lecture explains the Chi-Square Goodness of Fit Test. A simple 3 step rule is explained for solving each problem.
Chi-Square Test: Goodness of Fit: • Chi-Square Test: Goodn...
Chi-Square for Attributes: • Chi-Square Test: Indep...
Very helpful in preparing my lecture. I saw a lot of vedios on this topic. But here i get the simple explanation of a confusing topic. Thank you so much sir🙏
Daamn your giving good exemples and different situations I was looking for videos for a loooong time and till I have exam tomorrow I find out your channel lol thankyou❤ ❤
Your lessons are highly invaluable sir. Really appreciate
thank you for explaining everything comprehensively
This is really good 👍.very well explained. It's been easy to understand I m preparing for my exams and your videos has helpexplained Stay blessed 👍🙏
Many thanks
Fabulous sir..thx a lot for ur clear explanation
sir in question 3 we make H(not) that dse not depend so why we conclude that it is same while we accpting the hypothesis please clear it
Sir what to do if you not given p to find E NOR GIVEN SEVERAL columns...only given a single column..
Why the chi square value in the table is being checked at 0.05 all the time?
By default , the level of significance is 5% i.e., 0.05... But you can change it to 0.01 i.e., 1% or others as per the convenience
Very well explained sir
Thank u so much
Hello sir,
How you have decided to apply binomial distribution to 4 th problem in the video..
Very helpful thankuh sir
thankyou sir for the videos. helped a lot for the exams
It's my pleasure.. I hope you can share with others too so that they also learn alot from my this and other videos..
Outstanding explanation
Sir , the curve of chi square should only on right side, because it is square of SNV means positive?
Thank you so much sir
sir , how to know whether the question is chisquare test or not ??
Amazing video sir 😍😍🤩🤩
Thanks a ton..
Lecture on the RUN Test is uploaded ... Kindly watch
Thank you so much
Sir why you use binomial equation in 4th question ??
Sir why we combine values less than 5?
It is one of the conditions of validity of Chi-Square test
Nice video sir
Many thanks ... Keep watching second video on Chi square test - Independence of attribute.
Sir can u please explain me more how the degrees of freedom in problem no. 5 is calculated... I am still confused😑... The rest all were really fantastic ❤️
bhai problem dur hui abtk??
What is the difference between the chi-square test and T test or they are the same? Sir
Chi-square test is based on frequency and it is distribution free (non-parametric test, means no need of population follow to be normal ), while t-test is used to check the average (mean) only for small samples (whose size is
@@DrHarishGarg Many thanks for your informative answer
Sir what does it mean when in the question it is asked to "test the hypothesis ___" is this hypothesis H⁰ or H¹?
No dear... Actually, sometime it will be H0 and sometime it will be H1.... To know what is H0 and H1 easily... See my lecture... Its easy to learn..
czcams.com/video/U1e8CqkSzLI/video.html
@@DrHarishGarg thank you sir 🙏
My pleasure always .... Keep watching and share with other students too.
Sir what if the observed data is given in percentage without giving the total value of N
Example:
Red- 38%
Blue- 42%
Green- 20%
What would be the O and E??
Please help sir
Here O is 38%, 42%, 20% and N is sum of these, i.e., N = 100%
You can also take O as 38, 42, 20 as % is common to all of them.
Also you can take O as 0.38, 0.42, 0.20 etc. And N is 0.38+0.42+0.20=1
Once you get O , now calculate E as per the statement conditions.
@@DrHarishGarg thank you so much sir
Nice explanation
Thanks.
22:58,
Why 0.05 is chosen?
By default, it is 5% level of significance.
Sir please explain Matlab code for Firefly algorithm and social algorithm
Sure... Next video will be on these MATLAb Code
🙏🙏🙏🙏🙏
Sir please cover contingency table 🙏
Already uploaded and available at my channel..... Check the playlist... Chi square test: Independence of attributes
17:34
Dear sir can you please explain Quantum Particle swamp optimization(QPSO).
Sure .... I will considered in the future task