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Understanding Statistical Inference - statistics help
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- Опубликовано: 7 авг 2024
- The most difficult concept in statistics is that of inference. This video explains what statistical inference is and gives memorable examples.
0:00 Introduction
0:22 Descriptive statistics and inferential statistics
1:00 Definition of inference
1:18 Examples of populations and samples
2:19 Three ideas underlying inference
4:00 Example of political poll
5:15 Margin of error for 1000 people is about 3%
See creativemaths.net/videos/ for all of Dr Nic's videos organised by topic.
Videos referred to in the video:
Sampling Error: • Sampling error and var...
Understanding Confidence Intervals: • Understanding Confiden...
Understanding the p-value: • P-value in statistics:...
Hypothesis testing: • Hypothesis testing: st...
Non-sampling error: (member video) • Non-Sampling Error - S...
Sampling methods: • Sampling: Simple Rando...
Causation: • Correlation does not i...
#DrNicStats #Statistics
you've just explained something that my textbook has taken 600 pages to muddle up! Thank you :-)
That is great to hear. It took me a while to really get my head around it, so it's nice to know my work is helping.
@@DrNic namaste i have same feeling.
I agree. I found the graphics and speed to be very helpful, and I have to say that the still images of Dr Nic are perfect. To me, they added a human touch to the topic without it being a video that risked shifting the focus to her. Super clever and well thought out, I think!
Casella Berger 😌 0:16
This video is a huge help. Many sources simply explain how to use statistics, not how it works
You have no idea how much I appreciate how simply you explained this!
That is lovely to hear. I am currently teaching myself physics with the help of RUclips so I do understand how welcome a well-explained video can be.
Hi Dr. Nick,
Thank you very much for providing such topics for students to understand statistics in easy way. I have been following many channels of statistics, but no one of them, with my respect, provided the quality and the good content like you.
Keep up the good work!
Thanks!
Thank you Saeed. It is gratifying to read your comments. I have put a lot of thought and work into many of the videos, so it is great that they help people. Please share and subscribe!
Thanks a lot from India.
I have forgotten some concepts this video helped me to get back and explanation is also very good.
This video shows me how suck is my statistic teacher
interesting grammar
Thanks a lot for such a nice and simple explanation....
Thank you ma'am.. I bow down my head in front of you for this kind social charity of information through your videos..🙏
It's my pleasure
Your videos are very helpful, good work, thank you. Great explanation.
Thank you for explaining this so clearly. I am new to stats and this has really helped.
Glad it was helpful!
her pronunciation is excellent which makes the video very easy to digest
Thank you! Some people think I have a strange accent, so it's nice you can understand me well.
Thank you very much. Simple and effective explanation.
This was a much needed video. ^_^ very thankful
you're the savior, thank you so much
So, I love math, it was my favorite subject in lower grade school and college. I have recently decided to become a data scientist starting with learning database administration. While examining the career path, I saw that I had to learn statistics, okay no big deal. I am half way through my semester and we started studying statistical inference. My professor, God bless him, is not too good at explaining topics. I have resorted to not attending the class and just read the book. However, the book is filled with unnecessary words. I found this video on the whole chapter and it makes so much sense in just about 7 mins.
Thank you so much!
That is good to hear. You will probably find some of my other videos useful as well. creativemaths.net/videos/video-how-to-learn/
Well....Well Done......I can't believe that a very confusing lessons now gets very clear.... Thanks a Lol
What a great explanatory video. Loved the composition of the graphics. Thank you!
Glad you enjoyed it!
Thx you very much Doc, you are my savior :D
Thank you! I actually did understand something out of this.
Best video on statistics I've seen so far. Thank you so much.]
Wow, thanks! That is so gratifying to hear.
awesome explanation
useful video lesson, thanks
Good explanation.
Wonderful video
Thanks from India
Thank ya very much for this video.
I love this presentation! thank you so much! we really need a clear and detailed explanation for I.S..
thanks a lot mam
I barely passed this module in university... within the 10 years of work and employment, I've managed to filter out distractions and can finally grasp the concept of this subject!
I'll recap my studies... i don't use any advanced maths in my work :(
Great job!
Thank you very much! You were such a great help.
That is lovely to hear.
thanks a lot, very good
Precisely done...
Thank you for making this video.
You are most welcome. A lot of thought goes into my videos, so it is nice to be appreciated.
Even after 8 years, your work is still so helpful . Thank you so much . Also, I amn't a native English speaker, and I understand you just fine ❤❤
That's great!
Thank you I needed this for my math final🤞🏻🤞🏻👍🏼👍🏼
Pleased to hear it. I hope it goes well for you.
You are a lifesaver Dr. Nic
Happy to hear it
thank you for making this video
Glad it was helpful!
Thank you so much ma'am. It was just awesome teaching.
Thanks a lot
loved the video thank you
Thanks
Thank you, you save me from reading poorly written statistic textbook.
Glad I could help!
Thank you for explaining what my professor at Columbia University made so hard to understand.
It is a tricky concept and some teachers seem to make it trickier
"I enjoyed watching your video. Thank you."
Glad you enjoyed it!
Thank you so much doctor
So nice of you
Hi!! Just wanted to know if you have any videos on simulations and how to do it...
Sorry - no. We do have a series of videos on probability, that would be useful to underpin simulation.
I wonder if you are still reading comments.
but
Thanks @Dr Nic for being Dr Nic
and
You have a Beautifull accent.
Thank you Mohit. I always read the comments. Thank you for your encouragement.
every class I watch or join always skips over how to create a sample in real life exercises how do you do it?
Thanks you’re very amazing
Happy to help
Thank you
thank u so much maam u saved my trimester
Happy to help
So easily.. thank you
You are welcome!
Thank you i learned good
Happy to hear it
In just 2 minutes my mind was already blown 🤯
Just watch a couple of times. I hope your mind recovers.
@@DrNic haha, sorry, it's a joke for "in just 2 minutes I got it", I was looking for an explanation like this for like 2 hours and I couldn't find it because all the other classes on this subject focus on math, and that's ok, but I wanted to understand intuitively first, so thanks!
@@reznor_prompt2338 I’m happy to hear that. I agree - too many explanations focus on the mathematics.
Very good video.
Glad you liked it
danm your good
sir if I take survey about the popular political party in country and I find that 26℅ people are supporting party A ,36℅ to party B and 19℅ to party C so which type of statistics would it be?
It depends on what you are trying to find out. Finding confidence intervals for each of the percentages is a good idea.
Are there any transcripts for these videos by any change?
They have captioning which you can download.
I got confused about the conculsion at 5: 21 "We are pretty sure that between 32% and 43% of the people think the economy is getting worse". I think it should be 37% instead of 32%. Could you please help me explain this point?
Hi - well spotted - you are correct. It should be 37% instead of 32%. Sorry about the confusion from my mistake.
Hello ma'am thanks a lot for the lecture .
can i get this presentation?
Hi Zia
I'm glad you like the video. This is the presentation. It is made as a video, so what you see is what it is.
@@DrNic don't worry ma'am . 😊
*I still haven't got my dream job at Google, Professor Nic. I have applied for more than 150 companies so far and I am only getting rejection mails. Will life get any better for me?*
I hope so
@@DrNic Please god help me with this job hunt.
@@DrNic Professor, Could you please post a video on AB testing, power of hypothesis testing and MDE? thank you
👌👌
Thanks (I think)
Your videos are very, very good, but I think the example about the population of NZ and the 50% thing, with that graph and all was all a little bit confusing. I chose to ignore that part and the video was very informative, I understand the 3 precepts and all, only that part was not so clear and helpful.
Hi Flavia
Thanks for the feedback. Quite often with statistical concepts you need to go back over them a few times. Statistical inference is far from intuitive, so if you understood everything else with one viewing, you and I are doing pretty well.
Yeah I got confused too with the NZ part too, the rest were excellent explanations, very clear - this is my next paper.
Wait a second is that Melo from Death Note in the chocolate bars?
There may be a resemblance. ;)
@@DrNic what are the odds ;) ? That's definetely Melo x)
Great video! But your example of New Zealand confuses me. Inferential statistics is about making inferences about the POPULATION from a SAMPLE, but in the example of New Zealand's opinion of the economy, you have what the POPULATION think, i.e. 40% think the economy is failing, and from this you take a sample of the overall population and try to infer how likely it is that 50% or more will think the economy is failing - meaning that you're making inferences about the sample based on data from the population?!
You are correct. This is a theoretical illustration to show how we know what are likely results. So if the population proportion is 50% then the chance of getting a given proportion is the p-value. If the given proportion has a zero probability, then we can see that our initial assumption was wrong.
👍
Thanks
change the speed of of video to 1.5x and thanks me later
Thank you
You're welcome
@@DrNic 🤗