Thank you so much!

😂

He will repeat in detail as many times as necessary to make sure that you understood every single thing of each lesson. This is what makes him quite unique among all the courses I've studied. Awesome professor!🤩

At over 800k subscribers, I assure you, he is.

Very happy to help!

this.

The whole series are on his website and he wants you to buy his videos from his website.

Victor Drew 😂😂🤓🤓

I also noticed that I'm from middle east, I see these things happening in my society and hate all of these kinds of marriages 🤮🤮🤮🤮 Suddenly I see the same shit in USA !!!!🧐🧐🧐

Lol... Good question!

Because Texas is almost Mexico 🇲🇽 (it was) haha Xd

and also not a single one of them is over 23 yrs old and the grand average of all of them is 19 and a half yrs old aka the grand mean shows that all these states have females getting married when they're still TEENAGERS, lol wtf?

Good point. If the sample sizes are different, then the mean of sample means is *not* the same as the mean of all readings.

Hiii

Interesting. as for ANOVA it seems that the ANOVA calculates the weighted mean of the sample means, and it is really a mean of all the sample.

@@uzipaz9557 so he was correct?

This should be the question (:)

Yes, we should devide by 27

@@chiruvlogss No not in this case, it's just the mean of all the values

Liam Howard That only works if all the groups are the same size.

woodchuk1 Aren’t they? There are ten numbers in each column. That’s what you mean right? No pun intended

Liam Howard Yes, that’s what I meant, that in this case you would be correct...but in general, if the groups aren’t all equal, the mean of the individual group means won’t equal the grand overall mean.

woodchuk1 I see. I actually thought that’s what you were saying right after I hit the send button.

kzfaq.info/get/bejne/o7l1f9ad173Ig2g.html

Mean of means and mean calculation of all 30 case , 10 each , is different thing . The tutor started by saying that if one averages mean of group 1,2,3 can get grand mean. It's not true. Grand mean is mean of 30 samples

its for sell dumbass

Before doing the grand mean, just estimate means for each case and sum up them then divide it by the number of sample means. you have three means (n=3). I think this helps.

@@user-ik2tk7xi3g forgot the context. i was wondering what happens if we have samples of different sizes. like sample-1 = {100} sample-2 = {0, 0, 0, 0} sample mean of sample-1 = 100 sample mean of sample-2 = 0 sum of sample means = 100. divide that by 2 and we get 50 BUT that's not the same as aggregating all samples into one big one and computing its mean sample-1+2 = {100, 0, 0, 0, 0} sample mean = 100 / 5 = 20

@@marcuschiu8615 well, that is good point. Based on my knowledge, if we represent our sample value as 0, like you mentioned it, I don't think its counted as a value and the grand mean be exactly the same with the sample of the first one. STATA , SPSS and other statistical applications count these data's as a dummy variable and counting it as a zero value. If it's coding , like using R-studio and we represent that zero value, then the result might differ. Just my thoughts. Thanks thou for your insights

I asked myself the same question. I believe the video, when introduced the term "Grand Mean", implied that the sample sizes are all the same without explicitly stating it. According to Wikipedia, "The grand mean or pooled mean is the mean of the means of several subsamples, as long as the subsamples have the same number of data points." en.wikipedia.org/wiki/Grand_mean

Or just sum the 3 means from the samples and divide the result by 3!

JuanFernando Gracia doing this gave me a different result

Nice!

@@MathAndScience what a waste of time since there is no next video on this topic

Maybe you should care why, so you get more than a surface understanding.