It's degree of freedom. The specification could be like: for Binomial it's n-1. For Tabular data it is: (number of rows -1)*(number of columns -1). And the possible and practical reason could be that topmost and left most rows are always headers.
Hi, Thank you for your valuable explanation, Do you have videos on how to use MATLAB for Hooke and Jeeves method, and Powell’s methods for optimization?
Thank you for such an excellent tutorial.
Some times for sample variance they use n-1 in place of n. Can you explain about this?
It's degree of freedom. The specification could be like: for Binomial it's n-1. For Tabular data it is: (number of rows -1)*(number of columns -1). And the possible and practical reason could be that topmost and left most rows are always headers.
Sir chi square distribution ki condition thi ki no. Of independent observation should be>50, so variance k concept me why sample size is small
Sir it is same as chi squre distribution of variance
Thank you so much sir your class is very easy and clear to understand sir 🙏
Many thanks dear... Keep watching and sharing with others too.
what happens if the sample size n is unknown? How then do we find a particular percentile on the chi squared distribution?
Hi,
Thank you for your valuable explanation,
Do you have videos on how to use MATLAB for Hooke and Jeeves method, and Powell’s methods for optimization?
Still not... But upload soon
Thankyou easy to understand
Sir i think you are using capital S that is the unbiased estimator but you mistakenly wrote small s that is the biased estimator
Please sir provide also pdf of these lectures
For sample variance is it n-1 or just n?
Its depends, whether biased or unbiased variance
@@DrHarishGarg sample size is less than 30 then we must use n-1 if we are using small s that is the biased estimator
Does that mean you were using the based variance?
Besides, how do you know when to use the biased or unbiased variance?
Sir please Start uploading lecture on biostatistics
nS^2/sigma^2 OR (n-1)s^2/sigma^2 which formulae should use confusing,,,,Can u clarify plz.
In the video he uses capital S => biased estimator, relation between s and S => n*S^2 = (n-1)*s^2
Sir, make some videos on ANOVA and solve some gate/Net ANOVA questions.
Already available ..
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