Hi! Yes you are correct. I skipped the topics in Playlist 2...for now...because I wanted to get to the more advanced topics right away. I will come back to PL02 later. Other than that, all the videos are organized by playlist and then internally in the proper sequence. Just like the chapters and topics in a textbook. Let me know if you have any further questions! - B
I'm taking Intro to Stats right now, and this video was a God send. Z-scores are difficult for the non-math minded. This video is everything I needed to understand them. Please keep making vidoes, please teaches classes. You are what the stats world needs!
I have been out of school since forever :-) and I am taking elementary stats. It has been a major challenge for me. Even the simple concepts have difficult for me to grasp, but I am getting there. However, z-scores and standard deviation (so essential in stats) have been so frustratingly hard for me to understand. I cannot thank you enough for this video. My entire room just lit up. Light bulbs are turning on everywhere. The Aha moment! Moment of clarity! Watershed event. Epiphany!! OMGosh I get it. You made it so simple for me to understand. Not everyone can teach but You have a gift and I thank you for sharing it with me. A million thanks!
Brandon...holy cow! I am in tears!! Thank you! I read chapter afar chapter, watched videos...I just couldn't get it! After 10 minutes with your videos and it just makes sense. You are such an angel!! Thank you!!
Best video on Z-scores that exists on the internet!! This was the first video I'd seen which mentions the deviations like the unit of a measurement and the z-score as the distance. That really helped me to understand better, thank you!
You have no idea what a lifesaver you are. I am taking this class online and basically handed the book to learn it myself...don't know what I would do without your videos. 1st test score 94%!!!
Having tried to understand statistics including Z-score and stuff for a long time, I've never found any explanations as clear and useful as this one. This is the first time I can understand what the z-score actually is! I have been watching these videos and keep going. Thank you so much!
I agree this was a very plain english, easy to digest and relate to way of explaining Z Scores. Love it! I will definitely be subscribing to this as I teach myself stats all over again.
For anybody who is confused - this video seems to belong after the three videos about standard deviations in this playlist. Which are the videos he is referring to in the beginning! So just start with the second video in this playlist!
How do I arrange the videos? It appears to be on shuffle. I just went through with the Population vs. Sample data video and the next that automatically started is the Understanding Z-scores, which refers to the "previous video's" Mean Scores... Please help me get some structure here :)
Have already posted to say how clear and concise these videos are but it should be said again that you are extremely talented at teaching and thanks for the online content!
First thing first, the videos are exceptionally easy to understand, thanks to your ease of explanation. Love the way you break it down - what, why, and how! Second, please keep them (videos) coming. Third, a request: I reckon, this video ('Understanding Z-score), should ideally be placed after Standard deviation videos (after part 2 of NFL example) i.e. in Playlist 3. Reason: You have used the NFL example as a reference in this video (Z-score), and though, I was able to understand the concept, but it took me extra minutes to link the example (which is covered later in video playlist). Loads of respect and regards from India!
Love your videos. I find the informaiton especially helpful as a new student of statistics. I plan to watch as many or your videos as I can for my class. Thanks for your work.
So I was accepted for my PhD and it turns out that the program is highly quantitative in its methodology. I got great grades in undergrad in stats, and only took 1 quantitative research methods class in my masters (still shocked that I passed). So when I entered my first PhD stats class I was thrown as to how much I forget and how lost I was. Reviewing your videos (and my old undergrad stats book) has been SOOOOO helpful! from the bottom of my heart I thank you for such easy, slow, and informative videos. I shall return to let you know if I pass haha. God willing.
Enyo I sure did!! I’m now in my last year and preparing to propose my dissertation. Then defend in the spring. Currently an analyst intern with one of the major grocery stores in my State of Texas. Hard work pays off.
Great! Thank you for your kind comments. I am working on more right now actually and will try to cover the basics of all topics commonly taught in stats class. If you need anything in particular let me know. Best, B.
Great stuff... wish these videos were numbered or in a sequenced playlist... but I want to say thank you so very much. Your have a great talent for explaining difficult topics in a way which makes them easy to understand.
Hey Shadowman! Thanks for the comment. Actually they are organized by numbered playlist and sequentially inside each playlist. Just go to my channel page and view/sort by playlist. Enjoy!
Hey Brandon, this is as simple as it gets...Makes sense! Thanks Alot! I like how you referred more complex vocabulary to there synonyms of more simplistic vocab!!! That, and the charts and visualizations is what really made it easy for starting out with something quite seemingly complicated, given the uncommon vocab...
Wow, this was actually quite helpful. When I took statistics a bunch of years ago, we just memorized it and I probably wasn't paying much attention to it anyway. I've only watched a little bit so far, but stuff is already starting to click for me.
Useful and insightful. Simplicity is the strength. Please do keep these video keep going. Looking for advanced topics. What are other list of statistical videos you have published. Thank you!
no doubt that your way of communication is awesome, sir i gained much from your videos. Sir kindly use any statistical software now for applying these statistical tools like SPSS, SAS etc so that learners can also apply it on the software
PL02 is missing!! but ultimately amazing playlists I have studied in the class but these are really helping me to get the essence in a better way. Thanks for making our stats easy...
Hello and, first of all, thank you for your precious work. I'm writing to ask you some suggestion about the order that should be followed watching these videos! Thank You again!
You are awesome! The way u explain the basics are wonderful. About Z score. What are the uses of z scores. Can we conclude the data above 3 SD are outliers. Is it always 3 SD or will it differ based on data. Please explain. Thanks
2:25 z-score and standard deviation - z-score: how many standard deviations away (above or below) from the mean is a data point - has no units - since z-score is measure of distance from the mean, we set mean to 0 because it's 0 distance from itself - we measure distance from the mean by # standard deviations away 7:00 z-score formula 8:15 class 1 z scores 11:30 z-score visualization 16:45 nfl field goal analysis - coeffecient of variation = (S.D/mean) * 100 - what proportion of the mean is the standard devation 20:22 review
Always love your videos! Just got one question on this tutorial video; could you please explain why in approaching the variance, the summation was divided by 4 and not 5 (n) - the actual set of data? Is it correct to dispute data that result in 0 values after squaring them like they no longer exist (in this case, first datum, 85-85, and then (0)² )? Thanks!
Hi Brandon. These videos are super super helpful. Could you suggest some self-practice material for stats to help students build further on the topics learnt in the video?
Hi, Brandon. Thank you so much for posting these videos. I am learning so much for them. However, I do have a question. Would you please advise in your example (2 classes each have 5 students), why did you solve the standard deviation "σ" based on sqrt (SS/4) instead of sqrt(SS/5)? Since the calculation is based on actual class size, not a random sample, I thought the formula used should be the one for "population"? Thank you so much for your clarification.
This is a great video. Very clear and easy to follow. I Love it. Just a question though. I see that there are no playlist 2 and from Play list 1 it goes directly to Playlist 3. Is it the correct sequence? If I want to watch all your videos in the right sequence how should I go about it?
I understand how to calculate Z scores, this video explains it well. I am trying to imagen a real life scenario though where these scores would play a role.
Thanks Brandon these videos are great! Confused about the order though? I wanted PL01 (1 video), and now PL03. Each time you talk about videos from earlier? What are these?
Finaly I get the it. Great statistic course. It would be better if you would use big real world cases to show how to apply this statistics methods so solve business problems.
I wonder why the value of standard deviation in the Example is 7.9--I think it should be square root of 50--and it is 7.07 rather than 7.9. I wonder whether it is a mistake
Hi Brandon. Thanks for these lectures. They are very well explained. But, could you assign the videos a serial number. It Would make it possible to watch all the videos in right flow. Right now, we have to go in discrete manner looking for random topics.
*****, thank you so much for those videos. I wish to note, though, that Playlist 02 is missing. Would it be possible to re-include it so that we have a structured approach to reviewing your fantastic lectures? Thank you. :)
Hello! Excel or Google Charts is the easiest way. In Excel it is the =STDEV.S() function. So you can put those values in a column and then use the formula. So if the numbers were in A1 through A5, then =STDEV.S(A1:A5) in another cell would get you the standard deviation. Hope that helps!
Hi! Yes you are correct. I skipped the topics in Playlist 2...for now...because I wanted to get to the more advanced topics right away. I will come back to PL02 later. Other than that, all the videos are organized by playlist and then internally in the proper sequence. Just like the chapters and topics in a textbook. Let me know if you have any further questions! - B
Hey Brandon! so is PL 02 is available? Thank you for making Stats addictive. I wish I could have seen your videos in my college days...
Please upload playlist 2?.
Can you help me with cronbach alpha pleasee? Since i am in great need of it for my Group Project.
Still waiting fot PL02 to be complete :(
I'm taking Intro to Stats right now, and this video was a God send. Z-scores are difficult for the non-math minded. This video is everything I needed to understand them. Please keep making vidoes, please teaches classes. You are what the stats world needs!
keep the videos coming. 95% of the world depend on you. Great job
hey, is that a probability reference?
I have been out of school since forever :-) and I am taking elementary stats. It has been a major challenge for me. Even the simple concepts have difficult for me to grasp, but I am getting there. However, z-scores and standard deviation (so essential in stats) have been so frustratingly hard for me to understand. I cannot thank you enough for this video. My entire room just lit up. Light bulbs are turning on everywhere. The Aha moment! Moment of clarity! Watershed event. Epiphany!! OMGosh I get it. You made it so simple for me to understand. Not everyone can teach but You have a gift and I thank you for sharing it with me. A million thanks!
Brandon...holy cow! I am in tears!! Thank you! I read chapter afar chapter, watched videos...I just couldn't get it! After 10 minutes with your videos and it just makes sense. You are such an angel!! Thank you!!
Best video on Z-scores that exists on the internet!! This was the first video I'd seen which mentions the deviations like the unit of a measurement and the z-score as the distance. That really helped me to understand better, thank you!
It has been 8 years since this video released. But still the best one. Thanks
You have no idea what a lifesaver you are. I am taking this class online and basically handed the book to learn it myself...don't know what I would do without your videos. 1st test score 94%!!!
Having tried to understand statistics including Z-score and stuff for a long time, I've never found any explanations as clear and useful as this one. This is the first time I can understand what the z-score actually is! I have been watching these videos and keep going. Thank you so much!
what a ultimate concept taught by an ultimate teacher
Kamal Arora Thank you! But this also takes ultimate learners. :) Keep up the hard work! - B
I agree this was a very plain english, easy to digest and relate to way of explaining Z Scores. Love it!
I will definitely be subscribing to this as I teach myself stats all over again.
***** sir brandon when will I use +50 in z scores??? is it on percentage exclusively?
For anybody who is confused - this video seems to belong after the three videos about standard deviations in this playlist. Which are the videos he is referring to in the beginning! So just start with the second video in this playlist!
Hi! What position in the playlist do you think this should be? 4th? Thanks!
This video does a great job of explaining Z scores with examples. Makes it so much easier to understand.
How do I arrange the videos? It appears to be on shuffle. I just went through with the Population vs. Sample data video and the next that automatically started is the Understanding Z-scores, which refers to the "previous video's" Mean Scores... Please help me get some structure here :)
Thank you. Better than any explanation I've seen in a textbook.
Have already posted to say how clear and concise these videos are but it should be said again that you are extremely talented at teaching and thanks for the online content!
Very helpful video with the use of good visuals to help visualize and understand the concept and what is being calculated.
First thing first, the videos are exceptionally easy to understand, thanks to your ease of explanation. Love the way you break it down - what, why, and how! Second, please keep them (videos) coming. Third, a request: I reckon, this video ('Understanding Z-score), should ideally be placed after Standard deviation videos (after part 2 of NFL example) i.e. in Playlist 3. Reason: You have used the NFL example as a reference in this video (Z-score), and though, I was able to understand the concept, but it took me extra minutes to link the example (which is covered later in video playlist). Loads of respect and regards from India!
Love your videos. I find the informaiton especially helpful as a new student of statistics. I plan to watch as many or your videos as I can for my class. Thanks for your work.
So I was accepted for my PhD and it turns out that the program is highly quantitative in its methodology. I got great grades in undergrad in stats, and only took 1 quantitative research methods class in my masters (still shocked that I passed). So when I entered my first PhD stats class I was thrown as to how much I forget and how lost I was. Reviewing your videos (and my old undergrad stats book) has been SOOOOO helpful! from the bottom of my heart I thank you for such easy, slow, and informative videos. I shall return to let you know if I pass haha. God willing.
did you pass?
Enyo I sure did!! I’m now in my last year and preparing to propose my dissertation. Then defend in the spring. Currently an analyst intern with one of the major grocery stores in my State of Texas. Hard work pays off.
Hi iam from india, teaching statistics in University , your videos are very helpful in my lecture preparation.thanks for sharing this video's 🙏
THANK YOU! Your video surpassed the mediocre explanation my textbook outlined. You helped save my statistics grade this week!
Great! Thank you for your kind comments. I am working on more right now actually and will try to cover the basics of all topics commonly taught in stats class. If you need anything in particular let me know. Best, B.
Good video w/ clear explanations. Much appreciated.
Great stuff... wish these videos were numbered or in a sequenced playlist... but I want to say thank you so very much. Your have a great talent for explaining difficult topics in a way which makes them easy to understand.
Hey Shadowman! Thanks for the comment. Actually they are organized by numbered playlist and sequentially inside each playlist. Just go to my channel page and view/sort by playlist. Enjoy!
Great way of explaining...sincere thanks for all your efforts to help people like me...to understand these topics
well explained, the best I have found on the web about Z scores!
Hey Brandon, this is as simple as it gets...Makes sense! Thanks Alot! I like how you referred more complex vocabulary to there synonyms of more simplistic vocab!!! That, and the charts and visualizations is what really made it easy for starting out with something quite seemingly complicated, given the uncommon vocab...
Best Z - score explanation. Watching in 2020
appreciate your effort explaining all these concepts!
Wow, this was actually quite helpful. When I took statistics a bunch of years ago, we just memorized it and I probably wasn't paying much attention to it anyway. I've only watched a little bit so far, but stuff is already starting to click for me.
Thank you SO MUCH for helping me to understand Z score! I've already started to watch other videos by you!
My lecturer goes so fast I was totally confused. This made it click. Thanks a lot.
This was an excellent explanation of Z scores, very useful and the example really helped solidify the concept further
Just loved it sir. Your explanation is the best by far. Thanks a lot sir. Love & respect from Bangladesh.
Great video. I liked how you explained the process.
Very clear video and a good refresher of information
Useful and insightful. Simplicity is the strength. Please do keep these video keep going. Looking for advanced topics. What are other list of statistical videos you have published. Thank you!
very clear explanation, made things very easy to understand
no doubt that your way of communication is awesome, sir i gained much from your videos. Sir kindly use any statistical software now for applying these statistical tools like SPSS, SAS etc so that learners can also apply it on the software
I will definitely need to review this again. The video does a great job of explaining them I would just like to see a few other examples.
wow, thank you so much for breaking this down and helping me prepare for my first Statistics exam!!!
Love your videossssssssssssss. You are the best teacher in my world !!!!
Thanks Brandon for the clear videos. For everyone watching, videos 1 and 2 in PL3 should be interchanged i.e watch video 2 before you watch video 1.
great explanation! wouldn't think i'd start to understand something thoroughly at 10 pm
You made this so easy to understand, thank you
Amazing video, very clearly explained.
Thank you Brandon Sir.
Amazing! You explain the basics very well, it helps me a lot!
PL02 is missing!! but ultimately amazing playlists I have studied in the class but these are really helping me to get the essence in a better way. Thanks for making our stats easy...
I wish we could have a copy of your slide show to print! You are a great teacher!!
Hello and, first of all, thank you for your precious work.
I'm writing to ask you some suggestion about the order that should be followed watching these videos!
Thank You again!
I hope my instructor teaches as thoroughly as you do this Fall! Great video. Thank you!
This video was very helpful. Good examples
You are awesome! The way u explain the basics are wonderful. About Z score. What are the uses of z scores. Can we conclude the data above 3 SD are outliers. Is it always 3 SD or will it differ based on data. Please explain. Thanks
Thank you. You make the complex, easy
2:25 z-score and standard deviation
- z-score: how many standard deviations away (above or below) from the mean is a data point
- has no units
- since z-score is measure of distance from the mean, we set mean to 0 because it's 0 distance from itself
- we measure distance from the mean by # standard deviations away
7:00 z-score formula
8:15 class 1 z scores
11:30 z-score visualization
16:45 nfl field goal analysis
- coeffecient of variation = (S.D/mean) * 100
- what proportion of the mean is the standard devation
20:22 review
hello, what's the order of the tutorials? is it as it appears here? i did the first one on bulbs - which one follows? please email me the order :)
If these are scores of all class why did you use the sample formula for computing SD and not for population?
Always love your videos! Just got one question on this tutorial video; could you please explain why in approaching the variance, the summation was divided by 4 and not 5 (n) - the actual set of data? Is it correct to dispute data that result in 0 values after squaring them like they no longer exist (in this case, first datum, 85-85, and then (0)² )? Thanks!
dude u r God in stats ))) U just manage to get the idea right into my head
I Love your videos! They are extremely informative and very easy to understand. Thank you :)
Great Vedios Brandon...Plz write the order of your tutorials? What sequence we have to follow....
You've been a great help Brandon! Thanks you!
Such a simple definition! Loved your work! :) Thanks for the videos! Definitely subbing
great video really easy to understand
First if all I want to say THANK YOU SO VERY MUCH!!!!!. I just finished Statistics 101 PL01 but where is PL02? I see PL03 etc...
Again thanks
Hi Brandon. These videos are super super helpful. Could you suggest some self-practice material for stats to help students build further on the topics learnt in the video?
Finally understand it thanks to you! Great lecture! keep it up!
Absolutely amazing videos - so helpful - thank you
Such a helpful video! Thank you!
Hi, Brandon. Thank you so much for posting these videos. I am learning so much for them. However, I do have a question. Would you please advise in your example (2 classes each have 5 students), why did you solve the standard deviation "σ" based on sqrt (SS/4) instead of sqrt(SS/5)? Since the calculation is based on actual class size, not a random sample, I thought the formula used should be the one for "population"? Thank you so much for your clarification.
This is a great video. Very clear and easy to follow. I Love it. Just a question though. I see that there are no playlist 2 and from Play list 1 it goes directly to Playlist 3. Is it the correct sequence? If I want to watch all your videos in the right sequence how should I go about it?
I understand how to calculate Z scores, this video explains it well. I am trying to imagen a real life scenario though where these scores would play a role.
oh my gosh, I'm in an online class totally lost and this is really helpful! than you!
Thanks Brandon these videos are great!
Confused about the order though? I wanted PL01 (1 video), and now PL03. Each time you talk about videos from earlier? What are these?
Very good lectures, thanks a lot
+לירן זיידמן You are very welcome!
very good lecture for understanding the Z score
Thanks Jorge! I really appreciate it. Best, B.
Finaly I get the it. Great statistic course. It would be better if you would use big real world cases to show how to apply this statistics methods so solve business problems.
I wonder why the value of standard deviation in the Example is 7.9--I think it should be square root of 50--and it is 7.07 rather than 7.9. I wonder whether it is a mistake
this is because 7.07 is the population variance, not the sample variance, these are two different formulas
instead of dividing 250 by 5, you need to divide by 4 , n-1 is used in case of sample
Feeling Happy to understand the Z Scores
Brandon Foltz, PL 02 is not available in the series playlist. Please share them as well.
The first 6 minutes taught me that thing which i was trying to understand from a long time now.
Great Explanation thank you
This was so helpful, thank you so much!
Looks like the author used the coefficient of variation with the field goal graph. Would the RSD of the Exam Scores be 9.3 (1) and 5.6 (2)?
Which playlist is the coefficient of variation in ? Playlist 2 doesn't have it .
So helpful - Thank you
,
hello Could i know what order is right watching these videos?
Thank you for explaining things my text book doesn't.
your videos are great, thank you very much!
Thanks and Respect.
So freakin well explained. Love it!
Great video... Thanks
From Denmark. !!!
Hi Brandon. Thanks for these lectures. They are very well explained. But, could you assign the videos a serial number. It Would make it possible to watch all the videos in right flow. Right now, we have to go in discrete manner looking for random topics.
Thanku very much for such a great video.
*****, thank you so much for those videos. I wish to note, though, that Playlist 02 is missing. Would it be possible to re-include it so that we have a structured approach to reviewing your fantastic lectures?
Thank you. :)
agreed.
Great lecture series!
But where is the 2nd playlist?
Amazing!!! Thank you so much
How did you get the standard deviation of 7.9? I'm confused. Sorry, this is my first time to exposed in statistics class.
Hello! Excel or Google Charts is the easiest way. In Excel it is the =STDEV.S() function. So you can put those values in a column and then use the formula. So if the numbers were in A1 through A5, then =STDEV.S(A1:A5) in another cell would get you the standard deviation. Hope that helps!
en.wikipedia.org/wiki/Bessel's_correction
Very informative
Thanks for the video! it was very helpful to me