So well explained. You'll find trying to understand all these samples in a textbook, you have to read about 500 million chapters, all lengthy and complicated and you have to be like Sherlock Holmes to uncover their basic functions and differences! I wish all learning was this pleasant!
I'm having a little hard time in understanding stratified because I watched a lot of videos about it before coming here. But it helped to make things a little clearer as well. More powers.
I was looking the internet about 10 mins reading articles when finally I got here and the last 10 minutes reading was summarised within one simple sentence at 0:06 - 0:17
While probability (Unbiased sampling) is better, we still have something of a selection bias. This is because to be ethical the person we're surveying gets to accept or reject the survey. Maybe those who reject, even if approached randomly, are different from those who accept.
Thanks for the informative video. I am comfused on the stratified sampling. What criteria guides me to select individuals from tha statum? Forexample in the video you had 3 stratum and decided to pick 2 individuals what guided you as a researcher in choosing those two
I need some help to figure out how many health facilities to select. I have 41 health facilities which are categorised to health structure Level II, Level III & Level IV, my calculated sample size is 385 participant's. How do I select the actual number of health facilities to include in my study and include all the categories? 2:51
Could anyone help me to answer this question please? . are stratified samples simple random samples? I get a bit confused at the "Stratified sample" method. It doesnt sound that we are making random samples because if we break the population into smaller groups and pick randomly, for example we have 5 levels of education and each level is one subgroup, then we prioritize to have samples which include all levels of education. It means that you miss out samples which maybe only contains 4 or 3 levels of education. In the beginning, we have a very clear definition for " a simple random sample is EVERY SET OF n individual has an equal chance of being sampled", in the stratified sample we dont let every set has an equal chance of being sampled.
So well explained. You'll find trying to understand all these samples in a textbook, you have to read about 500 million chapters, all lengthy and complicated and you have to be like Sherlock Holmes to uncover their basic functions and differences! I wish all learning was this pleasant!
Thank you for your comment :) I wish you the best with the rest of your learning!
Thank you for the explanation, I asked my instructor to explain and he just advised me to read the instructions.
my statistics exam is first thing in the morning tomorrow. i wish i found this channel earlier!
Good luck on your exam! I hope it goes well :)
i could say this under every video you do, but YOUR VIDEOS ARE THE BEST and make statistics so easy to understand
Thank you so much for your comment :)
Summed up everything I had to learn for the test in 5 minutes. Thanks!
I'm having a little hard time in understanding stratified because I watched a lot of videos about it before coming here. But it helped to make things a little clearer as well. More powers.
I have listen many lectures for developing the understanding of samples method. But I can understand easily from this video.
Thank you, that means a lot to me!
I was looking the internet about 10 mins reading articles when finally I got here and the last 10 minutes reading was summarised within one simple sentence at 0:06 - 0:17
This explained everything. Unlike my professors. Thanks
True
Beautifully explained! Thank you! My student will understand this better than me trying to explain it to them.
One of the most useful video to understand complex concepts..
Your videos have really helped me on my current chapter in AP Stat, I wish you would make some more about further chapters if possible.
Word lol I was waiting on a 2000xl to pop up
not he sampling i was looking for, but i learned something thanks
slipknot fan huh?
i was looking for sampling as in music production but yeah
Same
@@oru lol
🤣🤣
This was so well summarized and made! plus the drawings are so freaking cute! Thank you :)
Thank you soooo much!! This helped me a lot. Keep up the good work
Bobby Falcon no it didn’t
i am back here again! another stat quiz i need help prepping for. your videos helped me a lot. thank you :)
Thank you so much!
My audit lecturer played this video while class. u did teach us more than him
The best video I've seen about sampling methods. :)
psychology paper 2 GCSE coming up today. thanks so much for this 🙏
Simple and straight to the point
thanks, taking an IB Statistics 1 test next Tuesday. Cheers!
Good luck :) Hope it goes well !
This is better than my university.
Haha thank you! Good luck with your studies!
Thank you for keeping it simplest but understandable.
Very clear picture about sample selection
this really helped me thank u
Thank you for watching :) good luck with your studies Khadesha!
Khadesha Alex no it didn’t
Your video explains sampling in a best manner. Couldn't any other video so simple 👍
Nice sample flip
The explanation is so easy to understand, thank you
You made that really simple to get! Big thanks! the animations helped a lot :)
it is really excellent video that helped me in my current project
Thank you. It helped me a bit (I'm still a little confuse)
Thank you so much for making it easy to understand : )
You saved me! My final exam is really looking forward to hearing from your channel ^^
what an explanation, It's a superb video!
Last part saves me🎉 thankyou❤️🔥❤️
While probability (Unbiased sampling) is better, we still have
something of a selection bias.
This is because to be ethical the person we're surveying
gets to accept or reject the survey.
Maybe those who reject, even if approached randomly,
are different from those who accept.
Thanks for the nice and concise video. But in our module there is a forth one called the cluster random sampling, may you explain that one?
I learned something from this tutorial. Thanks 👍
شكرا جزيلا😍طريقة رائعة للتعليم.
ههههههههه الراجل يتكلم انجليزي وانت تعلقي بالعربي
يعجبني اعتزازك بلغتك
وانا يعجبني اعتزازك بلغتك
💣💣💣💣💣
This was truly helpful! Thank YOU!
very helpful animations make the explanation clear and concise
This is so easy to understand💯
Thanks for this explanation. Answered questions!
Thank you for the good explanation☺ it's really help me a lot.
Love the way you teach
Thank you for explaining it clearly
Very nice lecture. Thanks.👌
You're welcome :)
your videos are so helpful
Good explanation 🙌
Very helpful, Sir!💚 Thank u very much.💫
Glad it was helpful!
Thank you for the explanation. It helps me a lot.😊
Quick revision covering small points
Thanks for the informative video.
I am comfused on the stratified sampling.
What criteria guides me to select individuals from tha statum? Forexample in the video you had 3 stratum and decided to pick 2 individuals what guided you as a researcher in choosing those two
Excellent video. Spot on.
I like it ..well explained and exemplified
a very informative 5 minutes video
that cartoon is cute as hell love his small tie
Thank you so much!
It is really very useful For night out students.......... it's me
Why does the man sound like Jaehyun from NCT?
Yee Mon Maung i agree!!!
omg yes
OMG I CAN'T UNHEAR IT NOW
it is very good one! thanks
could you please come up with a similar explanation to sample size how can be determined?
Great and very interesting explanation thank you so much
Truely helpful ❤
Excellent sir expecting more from you 🙂
Excellent work
Very good and simplified method to understand. Thnks
Thank you and I appreciate your effort to make this video
great great great explanation
Good enough. Subscribed🙌
Thank you so much it helps a lot
NICE explanation
Simple but Pro!
Please let me know what is the sampling method to be used for effectiveness of training and development with sample size of 100,by questionnaire
I really enjoyed the video
Beautiful video
great video!
tq for ur video..really help me to understand it
Thank you for this one.😊
Thank you for commenting :)
Good explanation
Thank you!
I think you mixed up the multistage sampling, first a random sample must be drawn and then it could be stratified is what we call multistage sampling
I need some help to figure out how many health facilities to select. I have 41 health facilities which are categorised to health structure Level II, Level III & Level IV, my calculated sample size is 385 participant's. How do I select the actual number of health facilities to include in my study and include all the categories? 2:51
Thank you very much sir
Thank you. You're welcome sir :)
What a great explaining
Nailed it, thank you.
Helpful buy you should have explained first about probability and non-probability sampling please.
Thank you now I understand.
easy to understand, thank
Thank you for watching!
Super video sir
Thank you!
really amazing... keep up the good work... I am gonna subscribe anyway! :p
can you talk about null hyphthesis? please please,
Working on it! May take me awhile though, as each video takes me over 100-200 hours to create and still have to finish the series.
very interesting...thanks
Great tutorial
Thanks a bunch!
how about when my sampling is 2, I chose 1 person from a population randomly then the other person is my brother. what sampling method is that?
Thank You
so where do the drums come in?
well done mate
no mate
Thanks. It very helpful
ohhh
the design of the animaton in yours video are so cute 😍😘🥰😋
Could anyone help me to answer this question please? . are stratified samples simple random samples? I get a bit
confused at the "Stratified sample" method. It doesnt sound that we are
making random samples because if we break the population into smaller
groups and pick randomly, for example we have 5 levels of education and
each level is one subgroup, then we prioritize to have samples which
include all levels of education. It means that you miss out samples
which maybe only contains 4 or 3 levels of education. In the beginning,
we have a very clear definition for " a simple random sample is EVERY
SET OF n individual has an equal chance of being sampled", in the
stratified sample we dont let every set has an equal chance of being
sampled.
Thank you for explaining with clear examples ❤️.
No problem!