You deserve much more recognition. I just want you to know I appreciate your work, i'm studying it between quarters to help me prepare for stats. Thanks for making these.
Nice videos, thanks, Brandon! Could it be that at 12:02 you meant to say 'which is .58% of the average' instead of 'which is .58% of the absolute value of that difference' when you were elaborating on the 205 dollars difference?
Thanks for these videos! Just wanted to point something out.. You had taught in an earlier video that the bars in a histogram are not supposed to have gaps between them. You didn't implement that in this video.
Hi Kunal! Thanks for your comment. Actually in this case these technically are not histograms since the underlying data is not continuous (that is why we have grouped data to begin with). But these are also not bar charts since they only represent a single measure. So I think in this case, as is often in education, we simply use the best thing we have as a heuristic. Student's are used to that and can make the connection. Maybe I should have written it as "histogram" since it's somewhere between histogram and bar chart. Happy learning!
Hi, Love your videos, Brandon. I am being a bit nitpicky here but, I noticed at 4:09/13:41, your histogram bars have gaps in between. I remember you mentioning in the histogram video that there should be no gaps. As, I am planning to transition into a data science career, I wanted to understand if such rules are strictly followed in the industry.
Thanks! Yes in a true histogram there are no gaps, but these visuals are pseudo-histograms / bar charts made this way for clarity and teaching purposes.
Thank you so much sir,your videos are really fabulous and helpful. I did learn a lot from your videos.your vids worth watching million times. May God bless you and your family
Thank you Brandon! Is this an example of the Central Limit Theorem? I.e. That the average of the sample means (for each bin) tends to the population mean
Yep, I also had the same thoughts initially. There is a similarity but also some difference. With CLT (law of large numbers) we are taking random representative samples, then take their means to create a sampling distribution, and then the mean of this distribution (which will be normal) tends towards the expected value. In this example, the bins are not representative and we are weighting the mean (midpoint) of each bin, which is not what we do in CLT.
Thanks for the clearly explained video! I was struggling to find how to calculate my class average since it wasn't given by our instructor. However, the class final marks were given only as letter grades (aka a range) and the number of observations within that letter grade. Now armed with the knowledge from this video I can finally figure it out!! 🤓
hello Brandon, for the first frequency table, the chat you shared is a bar graph not a histogram. Am depending on your explanation in previous videos where you said a histogram has no space between the bars. Thanks. you can clarify more on that
Hello Brandon, Great. Never heard about this mean of group frequencies technique. It's amazing. Thank you very much for helping us to learn in an easy to understand and effective way. God bless for your efforts.
Nice technique especially on valuable data when the dataset won’t be available to the general public. Can we say that these results always underestimate the original mean? Thanks for this awesome content.
You deserve much more recognition. I just want you to know I appreciate your work, i'm studying it between quarters to help me prepare for stats. Thanks for making these.
Hi Brandon, your way of explaining statistics is awesome. Can you please make some lessons on Structural Equation Model ( SEM) ?
Thank you so much Mohamed! You are so very kind. :)
You have the best videos about statistics in my opinion. Glad to see you are still here.
Thank you! Never left, just have to find windows of time.
Nice videos, thanks, Brandon! Could it be that at 12:02 you meant to say 'which is .58% of the average' instead of 'which is .58% of the absolute value of that difference' when you were elaborating on the 205 dollars difference?
Here is a remainder that how awesome you and your work are... Great help sir
Fantastic Content! Thank you for putting these out there. You do great work.
Thanks for these videos!
Just wanted to point something out.. You had taught in an earlier video that the bars in a histogram are not supposed to have gaps between them. You didn't implement that in this video.
Hi Kunal! Thanks for your comment. Actually in this case these technically are not histograms since the underlying data is not continuous (that is why we have grouped data to begin with). But these are also not bar charts since they only represent a single measure. So I think in this case, as is often in education, we simply use the best thing we have as a heuristic. Student's are used to that and can make the connection. Maybe I should have written it as "histogram" since it's somewhere between histogram and bar chart. Happy learning!
Hi, Love your videos, Brandon. I am being a bit nitpicky here but, I noticed at 4:09/13:41, your histogram bars have gaps in between. I remember you mentioning in the histogram video that there should be no gaps. As, I am planning to transition into a data science career, I wanted to understand if such rules are strictly followed in the industry.
Thanks! Yes in a true histogram there are no gaps, but these visuals are pseudo-histograms / bar charts made this way for clarity and teaching purposes.
Thank you so much sir,your videos are really fabulous and helpful. I did learn a lot from your videos.your vids worth watching million times. May God bless you and your family
Thank you Ali! Hope life finds you well.
Thank you Brandon! Is this an example of the Central Limit Theorem? I.e. That the average of the sample means (for each bin) tends to the population mean
Yep, I also had the same thoughts initially.
There is a similarity but also some difference.
With CLT (law of large numbers) we are taking random representative samples, then take their means to create a sampling distribution, and then the mean of this distribution (which will be normal) tends towards the expected value.
In this example, the bins are not representative and we are weighting the mean (midpoint) of each bin, which is not what we do in CLT.
can someone pls explain why there is a+1 in every coloumn and in which conditions will it be used?
Are you talking about the +1 in 'Upper Salary' column?
Thanks for the clearly explained video! I was struggling to find how to calculate my class average since it wasn't given by our instructor. However, the class final marks were given only as letter grades (aka a range) and the number of observations within that letter grade. Now armed with the knowledge from this video I can finally figure it out!! 🤓
hello Brandon, for the first frequency table, the chat you shared is a bar graph not a histogram. Am depending on your explanation in previous videos where you said a histogram has no space between the bars. Thanks. you can clarify more on that
Hello Brandon, Great. Never heard about this mean of group frequencies technique. It's amazing. Thank you very much for helping us to learn in an easy to understand and effective way. God bless for your efforts.
Nice technique especially on valuable data when the dataset won’t be available to the general public. Can we say that these results always underestimate the original mean? Thanks for this awesome content.
Hi Brandon ...Could you please make a video on Design of Experiment DoE ?
Hello Brendon can you suggest me about a place where I can download statistical packages
fantastic video that has helped me with a problem i have been trying to solve for a long long time! thanks
Mr. Brandon, i'm enormously grateful for your videos. please keep making them.
Thank you Michael! I really appreciate it. :)
Great Lecture, Thank you..
Beautiful presentation 😇
Good Revision of Stats.
since histograms do not have any gaps between the bins, isn't 3:46 a bar chart.
Hello! Technically, correct. Heuristically, sufficient. It's easy to slip when doing these without a script.
@@BrandonFoltz great videos ,please continue making such videos it is very helpful.
Never gets old !! Thanks.
Thank you! But I manage to...lol :)