Тёмный
No video :(

Measures of Dispersion: Formulae and Examples | What is dispersion with Examples | Sample size 

LEARN & APPLY : Lean and Six Sigma
Подписаться 71 тыс.
Просмотров 139 тыс.
50% 1

Опубликовано:

 

24 авг 2024

Поделиться:

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист
Посмотреть позже
Комментарии : 65   
@datascienceds7965
@datascienceds7965 5 лет назад
i like your way of presentation
@learnandapply
@learnandapply 5 лет назад
Thank you for your valuable comments
@mansiharshit6847
@mansiharshit6847 4 года назад
Good explanation very helpful in exam...
@learnandapply
@learnandapply 4 года назад
Thank you so much for your valuable comments and appreciation!
@Rajesh-vd4cm
@Rajesh-vd4cm 2 года назад
Nice explanation! thank you
@learnandapply
@learnandapply 2 года назад
Thank you so much for your valuable comments and appreciation ☺🙏
@garisheravinder6528
@garisheravinder6528 3 года назад
Excellent teaching sir it's useful for exams 💐💐💐👌
@learnandapply
@learnandapply 3 года назад
That's great! Thank you so much for your valuable comments and appreciation!
@bumblebee4846
@bumblebee4846 4 года назад
Thank you so much sir
@learnandapply
@learnandapply 4 года назад
Your welcome and thank you for your valuable comments!!
@martinprasad2783
@martinprasad2783 3 года назад
very creeps and clear explanatiom
@learnandapply
@learnandapply 3 года назад
Thank you so much for your valuable comments and appreciation 🙏😊
@TheNakul64
@TheNakul64 4 года назад
As always best presentation.
@learnandapply
@learnandapply 4 года назад
Thank you so much for your kind words and valuable comments.
@tejendranaidu2916
@tejendranaidu2916 3 года назад
Well done sir i really like it
@learnandapply
@learnandapply 3 года назад
Thank you so much for your valuable comments and appreciation 😊🙏
@akhileshvidhate9204
@akhileshvidhate9204 4 года назад
Nice explained ❤️❤️ keep it up 👍👍
@learnandapply
@learnandapply 4 года назад
Thank you so much for your valuable comments and appreciation!!
@Raja-tt4ll
@Raja-tt4ll 4 года назад
nice video
@learnandapply
@learnandapply 4 года назад
Thank you for your valuable comments. Please share it with your friends and colleagues..
@priyanshbafna6639
@priyanshbafna6639 4 года назад
Amazing work..I am watching back to back all videos👍👍
@learnandapply
@learnandapply 4 года назад
Thank you so much for your valuable comments and appreciation!!
@learnandapply
@learnandapply 4 года назад
We are starting our Six Sigma Green Belt batch from 4th Jul. If you interested, then please visit for more details at: www.learnandapply.org
@krishanmohansharma8306
@krishanmohansharma8306 5 лет назад
To the point. Well done. Thank you faculty
@learnandapply
@learnandapply 5 лет назад
Thank you for all your valuable comments. It values for me a lot. Please share these with your friends and colleagues.
@radhas1129
@radhas1129 2 года назад
Nice class sir
@learnandapply
@learnandapply 2 года назад
Thank you for your valuable comments and appreciation ☺🙏
@surajacharya3171
@surajacharya3171 4 года назад
Nice content,i understood everything. Thank you
@learnandapply
@learnandapply 4 года назад
Thank you so much for your kind words and valuable comments.
@jahzielperalta484
@jahzielperalta484 3 года назад
This is life saver, thank u sir 🥰🥰🥰
@learnandapply
@learnandapply 3 года назад
Your welcome, thank you so much for your valuable comments and appreciation!
@fatimasaleh9269
@fatimasaleh9269 3 года назад
@@learnandapply I need help 🙋🏻‍♀️🙆🏼‍♀️In Standard deviation!! There are tow formulas!?!? I mean one formula we (divided by n-1 ) And the other one we (divided only n ) How i know when to use those !?!
@fatimasaleh9269
@fatimasaleh9269 3 года назад
@@learnandapply I need help in variance!?! When i have to use s^2 and Sigma^2!؟!؟ There are different between them!?!
@learnandapply
@learnandapply 3 года назад
If you going to calculate the standard deviation for population, then you need to use the formula with sigma, and for sample, you need to use the formula with s.
@fatimasaleh9269
@fatimasaleh9269 3 года назад
@@learnandapply 😀😀thanks 🥺
@winvictorywin5612
@winvictorywin5612 4 года назад
Hello sir, I am having airborne dust concentrations data as PM10, PM2.5, PM 1 . These data was taken before and during dust producing work in a civil construction site. N=5 How can i compare these before and during operations data ? It seems that there is percent variation in dust concentrations in atmosphere between before and during operation data. e.g., PM 10 ( particle size less than 10 microns) is sharing 40% of total airborne dust, and PM 2.5 ( particle size less than 2. 5 micron) shares 10% of total airborne dust. During machine operation: PM 10 shares 60% and PM 2.5 10% only. It seems that PM 10 share is increased due to that machine operation? Which test is suitable for analysing these type similar data for discussion ? How to use statistics? Any comparison among these particle sizes? thank u.
@AravindHan008
@AravindHan008 3 года назад
so Measure Of Dispersion is standard deviation and other parameters that shows how the data is spread from the mean ?
@learnandapply
@learnandapply 3 года назад
Measures of dispersion are the metrics that describe the variation in your data.
@AravindHan008
@AravindHan008 3 года назад
@@learnandapply thanks :)
@bhaskarallada8512
@bhaskarallada8512 6 лет назад
Well explained, keep it uo
@learnandapply
@learnandapply 6 лет назад
Thank you for your valuable comments
@muhammadbilal6847
@muhammadbilal6847 3 года назад
Background music disturbs the learners!
@learnandapply
@learnandapply 3 года назад
Extremely sorry for that. Yes, it was the problem with the old videos on the channel.
@peiwang3223
@peiwang3223 3 года назад
really amazing explanation and fantastic style of video! keep going~thanks very much
@learnandapply
@learnandapply 3 года назад
Thank you so much for your valuable comments and appreciation!
@Funnyment1990
@Funnyment1990 11 месяцев назад
Sir hindi m vedio v provide kijiye
@learnandapply
@learnandapply 11 месяцев назад
Thank you so much for your valuable comment. I am not good at explaining it in Hindi.
@shinigamiryuk4183
@shinigamiryuk4183 3 года назад
Nice video👍,but please remove background music its distracting
@learnandapply
@learnandapply 3 года назад
Sure, thank you so much for your valuable comments and appreciation!
@rochellebirch6122
@rochellebirch6122 2 года назад
Where can I download minitab
@learnandapply
@learnandapply 2 года назад
Here is the link for a 30-days free trial: www.minitab.com/en-us/products/minitab/free-trial/
@ramadhandereroberer6780
@ramadhandereroberer6780 4 года назад
What is the editing video app of this vid ?
@learnandapply
@learnandapply 4 года назад
It's Videoscribe.
@tahsinnawar9847
@tahsinnawar9847 2 года назад
Can you kindly add subtitle 🙃
@learnandapply
@learnandapply 2 года назад
Yes, I am working on it. It will be added by today. Thank you for your valuable suggestions. 😊🙏🙏
@anushkasrivastava3286
@anushkasrivastava3286 3 года назад
Sir standard deviation mai 9-1kaha sai aa gaya
@learnandapply
@learnandapply 3 года назад
9 is the total number of readings or observations and (9-1) is degrees of freedom, which is one less than the total number of observations.
@sjdg6910
@sjdg6910 3 года назад
How to use Excel in examination 🙄
@learnandapply
@learnandapply 2 года назад
Please use these formulae.
@nyasha7721
@nyasha7721 2 года назад
Subtitles please. I'm having an extremely difficult time understanding you...
@learnandapply
@learnandapply 2 года назад
Sure, I will upload that in some time. Thank you for your valuable comments ☺
@drmedicose9659
@drmedicose9659 3 года назад
please correct your pronunciations. For n , s . it was so confusing
@learnandapply
@learnandapply 3 года назад
Thank you for your valuable suggestions!
@EWCIAGROBEL
@EWCIAGROBEL 4 года назад
not a great explanation for intro
@learnandapply
@learnandapply 4 года назад
Ok, thank you for your valuable comments.
Далее
Measures of Central Dispersion
14:56
Просмотров 30 тыс.
Teach me STATISTICS in half an hour! Seriously.
42:09
Measures of Dispersion
13:28
Просмотров 25 тыс.
Need of Statistics and Measures of Central Tendency
8:40