just one line i have not understood as the sample size grows variance of both sample and population comes closer then we have to divide it by n-1 why??
Because of degree of freedom. If your sample is 2, 3, 10 the mean is 5. Then if you know the mean you need only two values because the third value it will be automatically determined. That is, given the mean and its formula, 5 = (2 + 3 + x)/3, we know that x must be 10
Thank you very much for your video, it was very very good at explaining. But I have one more question, If descriptive statistics do not try to generalize to a population (since there is no uncertainty in descriptive statistics), then why does the sample standard deviation try to best estimate the population mean? Yet it is still considered a descriptive statistic
You are one of the best TH-camr in the field of data science who provide the concepts in a very simple way. Thanks for making such videos.
just one line i have not understood as the sample size grows variance of both sample and population comes closer then we have to divide it by n-1
why??
Because of degree of freedom. If your sample is 2, 3, 10 the mean is 5. Then if you know the mean you need only two values because the third value it will be automatically determined. That is, given the mean and its formula, 5 = (2 + 3 + x)/3, we know that x must be 10
Thank you very much for your video, it was very very good at explaining. But I have one more question, If descriptive statistics do not try to generalize to a population (since there is no uncertainty in descriptive statistics), then why does the sample standard deviation try to best estimate the population mean? Yet it is still considered a descriptive statistic
Thank you so much, the best video till now!
The way you explain in a short time and very informative way...I always love that🤗🤗
Thanks Bharat.
Thank you sir 👍
Welcome Sanket.hv a nice weekend