You're very welcome! Glad to hear you like my examples. I'm guided a bit by what pictures I have available and as we published The Cat Pack, a set of card games, I have pictures of cats at my disposal.
Hi Dr. Nic! Thank you for the good video. You really discussed it very well. I appreaciate how well you discussed the content. I just wondering if there's a chance that the data may treat as unpaired(independent) samples even they came from the same group of respondents. Thank you in advanced!
I'm glad it was helpful. You can treat paired data as unpaired. However, you are losing a source of information by not using the pairing as it controls for one source of variation.
Thanks for clear explanation!! Could please make videos on hypothesis testing for proportions. If they already exist on your channel(I couldn't find them), could please share the link here.
Thank you so much Dr/Nic for this amazing channel and for your simple explanation. l've found the channel by chance while searching on RUclips because l have statistics exam after a few days. Please i need to know how to get the p value exactly cause l can't understand it from my dr although she repeated it 3 times 😭. Thank you again for your greeeat effort 🥰
You are very welcome. Do take a look at this video about where the p-value comes from. ruclips.net/video/0-fEKHSeRR0/видео.html. You can see all the videos arranged here: creativemaths.net/videos/
Thank you Dr. Nic. I have a question, if I am assessing same set of people on two different variables (For example- 10 subjects performing badminton smash with two different types of racket brands i.e., company A & company B. In this study I want to see the difference between speed of the racket that which company's racket produce more speed to the shuttle), which t-test am I supposed to apply? Independent or paired? And why?
Hi Dr Nic! I gave a Pre-test to 5th grade students, and on another day, I gave a Post-test to the same students. Since I did not ask them to identify themselves in any way in Pre and Post-test, I cannot pair the data. Is it wrong to use unpaired tests now? :( Thank you for this enlightening video!
Your video was great. I'm going to watch more. ❤ I think the problem that I've been having is I don't identify the null hypothesis before i run the simulation. So I get a printout of numbers and don't know what they mean. Also, I'm still trying to understand what the F value is for and what the effect size value is for.
I am trying to see the impact of maternal diabetes and hypertension on low - birth weight. The sample group is the same for diabetes and hypertention. Should I do a paired T-TEst?
Paired is really best when the actual sample is the same - also known as repeated measures. However in different sciences different approaches are acceptable. I wouldn't use paired here.
Hello 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.
Dr Nic's Maths and Stats Thanks a lot. In ur example , paired test case One person’s before and after values are independent to the values of person 2, etc. Here, Concentration of >1 ( greater than one) micron size particles includes >3 , >5 and >10 also. particle size before opns . during opns >1. 100%. 100% >3. 80%. 90% >5. 60%. 80% >10. 40% 70% should I go for individual particle size channel *mass readings* for testing? >3 micron separately >5 micron separately etc. >1 micron channel mass readings is considered as total mass and calculated as 100%. and other channels proportions in percent were calculated with respect to >1 micron channel mass value. for example ( dust mass value in channel >10micron / dust mass value in channel >1 micron) x100. Can I average the mass concentrations of dust for N observation rather than averaging the proportion in percent for the N observation? I think that averaging the percentage values may not be correct in this case. Thanks
Thank you Dr.Nic and keep posting more on statistics. Your classes are simple to understand. I enjoy it and always look for new videos.
Thanks B J. I'm happy they are helping.
Thank you, Dr. Nic ! Your videos are very helpful to understand the concepts of Statistics. You are doing an awesome job !!!
So nice of you to say so. I've paused for a bit as I was teaching fulltime, but I'm hoping to get a few more done soon.
Thank you Dr Nic! Love your question examples, they make the vids really engaging! Yours sincerely, a first year uni student struggling with stats :)
You're very welcome! Glad to hear you like my examples. I'm guided a bit by what pictures I have available and as we published The Cat Pack, a set of card games, I have pictures of cats at my disposal.
Thank you Dr. Nic! Your videos are so helpful and make the concepts easier to understand...You are doing an amazing job
Glad you like them!
Dr Nic you're a legend thanks so much
Happy to help
THE VIDEO I HAVE BEEN LOOKING FOR 👍👍👍
So glad to hear that.
Great explanation. Thank you :)
Glad it was helpful!
Hi Dr. Nic! Thank you for the good video. You really discussed it very well. I appreaciate how well you discussed the content. I just wondering if there's a chance that the data may treat as unpaired(independent) samples even they came from the same group of respondents. Thank you in advanced!
I'm glad it was helpful. You can treat paired data as unpaired. However, you are losing a source of information by not using the pairing as it controls for one source of variation.
Awesome video thank you ❤️❤️❤️
You are so welcome
it was very useful for me.thanks
Glad to hear that
Thanks. It helped.
Glad to hear it!
Great job
Thanks - nice to be appreciated
Thank you so much
You are most welcome - glad you like it.
OMG you are amazing!
Aww
Many thanks
You are welcome
Thanks for clear explanation!!
Could please make videos on hypothesis testing for proportions. If they already exist on your channel(I couldn't find them), could please share the link here.
I'm glad you found this helpful. I will add your suggestion to my list.
@@DrNic Thanks!!
Thank you so much Dr/Nic for this amazing channel and for your simple explanation. l've found the channel by chance while searching on RUclips because l have statistics exam after a few days. Please i need to know how to get the p value exactly cause l can't understand it from my dr although she repeated it 3 times 😭. Thank you again for your greeeat effort 🥰
You are very welcome. Do take a look at this video about where the p-value comes from. ruclips.net/video/0-fEKHSeRR0/видео.html. You can see all the videos arranged here: creativemaths.net/videos/
thank you dr.nic! but i just want to ask if the data for before and after are equal or unequal variance?
With paired data you are analyzing the difference so the variances of before and after don’t come into it.
Thank you Dr. Nic. I have a question, if I am assessing same set of people on two different variables (For example- 10 subjects performing badminton smash with two different types of racket brands i.e., company A & company B. In this study I want to see the difference between speed of the racket that which company's racket produce more speed to the shuttle), which t-test am I supposed to apply? Independent or paired? And why?
Paired will give you more useful results as you are controlling for the differences between the people.
@@DrNic thank you so much
Hi Dr Nic! I gave a Pre-test to 5th grade students, and on another day, I gave a Post-test to the same students. Since I did not ask them to identify themselves in any way in Pre and Post-test, I cannot pair the data. Is it wrong to use unpaired tests now? :(
Thank you for this enlightening video!
Hi Leonor. It's fine to use unpaired now. Next time, maybe get them to put a code name on their tests so you can link them up.
Your video was great. I'm going to watch more. ❤ I think the problem that I've been having is I don't identify the null hypothesis before i run the simulation. So I get a printout of numbers and don't know what they mean. Also, I'm still trying to understand what the F value is for and what the effect size value is for.
F value is used in regression and ANOVA. if you watch one of those videos it might help.
I am trying to see the impact of maternal diabetes and hypertension on low - birth weight. The sample group is the same for diabetes and hypertention. Should I do a paired T-TEst?
Paired is really best when the actual sample is the same - also known as repeated measures. However in different sciences different approaches are acceptable. I wouldn't use paired here.
Thanks! I don't know why my professor has made it so difficult to understand.
Happy to help!
Hello
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.
Start with graphing your data. N = 5 is a very small sample.
Become a channel member and I will have a further look at your problem.
Dr Nic's Maths and Stats
Thanks a lot.
In ur example , paired test case
One person’s before and after values are independent to the values of person 2, etc.
Here,
Concentration of >1 ( greater than one) micron size particles includes >3 , >5 and >10 also.
particle size before opns . during opns
>1. 100%. 100%
>3. 80%. 90%
>5. 60%. 80%
>10. 40% 70%
should I go for individual particle size channel *mass readings* for testing?
>3 micron separately
>5 micron separately
etc.
>1 micron channel mass readings is considered as total mass and calculated as 100%. and other channels proportions in percent were calculated with respect to >1 micron channel mass value.
for example ( dust mass value in channel >10micron / dust mass value in channel >1 micron) x100.
Can I average the mass concentrations of dust for N observation rather than averaging the proportion in percent for the N observation? I think that averaging the percentage values may not be correct in this case.
Thanks