OMG thank you so much!! I. had been looking for this type of video for a long time ever since I identified that my data analysis skill is my weakness to reach my full potential when answering the questions!!🙏🏼🙏🏼 and please make more of these types of videos (thank you for sharing this very important knowledge and skill)
@@bremmethod it would have been nice if you went into detail about the p value. I’ve watch tons of videos about it around RUclips. I still have it figured out if how it’s important for the MCAT since the different significant values mean the null hypothesis is accepted or rejected. It’s a lot of stuff that’s not clear when it comes to data analysis & research design with the MCAT. You have a good foundation to go from though. I took notes and then began a search on RUclips. I looked up logarithm graphs, etc. it would be nice if there was a one stop shop we could go to so we know exactly the depth we need to know instead of going to all of these different RUclips videos like I’m doing now.
@@lilrabbitcuz It's so true! So much MCAT resources focus on the content, while the Skill 3 (research design) and Skill 4 (data analysis) are also essential to success. Quick answer on the p values - a p value of
@PhantomLink I'm working on a video bank this year that I hope will become a more comprehensive resource for MCAT skills, so thank you for the feedback! If you'd like a worksheet on the common experimental design terms on the MCAT, I've built this google doc here: docs.google.com/document/d/15k4pm0WtY19im-paQbAqZ6EZp1hMrLnNuJ7WXMLAbiw/edit?usp=sharing Hope this helps and good luck with your studies!
This video was so freaking amazing!!!!!!!! *virtually hugs you* This has completely changed how I look at and will approach data presented in passages. Keep doing the Lord's work, we appreciate you!!!!!!!!!!!!!!!!!!!!!!!🥲
Is it always the case that to make a correct conclusion, based on a graph like the one in the video, one should consider the statistical significance in the context of the group/condition it is in and not the wider context of all the other groups of bars? My conclusion was that "The knockout gene is not responsible for Proinsulin Synthesis." I thought this because the knockout produced more proinsulin. I interpreted its mark of statistical significance to mean/to be comparison with its (the knockout mouse) function in the basal condition indicating a important increase in proinsulin production therefore the knockout was not important to Proinsulin synthesis.
Yes - that is best practice! When you are provided statistical significance on only one portion of the graph, it is generally referencing that variable with a given condition (in the example in the figure, there is a statistically significant difference between wildtype and knock out in the 16.7mM glucose condition). While you can also see, based on the error bars, that proinsulin rates are higher with more glucose for both WT and knockout, the * indicates a significant decrease with KO mice compared to WT in the higher glucose condition. If they wanted to compare KO mice basal rates to high glucose rates, they would have had to draw a bracket between those two bars (the light gray ones) and drawn a star above that bracket.
I'll work on that next! Got a few math videos coming up in my Math series this month. Tables and Figures are definitely big features of the recently released exam.
For sure! We can see that the more glucose we have, the more proinsulin synthesis we get. This is something that the experimenters would likely already know, as this is a well-known endocrine pathway, so the "experimental" part of this passage is our KO mice variable. However, the MCAT could definitely use this data as a check to make sure you understand the relationship between glucose and insulin!
OMG thank you so much!! I. had been looking for this type of video for a long time ever since I identified that my data analysis skill is my weakness to reach my full potential when answering the questions!!🙏🏼🙏🏼 and please make more of these types of videos (thank you for sharing this very important knowledge and skill)
Thank you so much! (and I'm so sorry this has literally taken me years to respond to)
Thank you!!! You are the first to explain how to nurture this skill!!!
Glad to help! Please let me know if you'd like any more videos on MCAT skills!
@@bremmethod it would have been nice if you went into detail about the p value. I’ve watch tons of videos about it around RUclips. I still have it figured out if how it’s important for the MCAT since the different significant values mean the null hypothesis is accepted or rejected.
It’s a lot of stuff that’s not clear when it comes to data analysis & research design with the MCAT.
You have a good foundation to go from though. I took notes and then began a search on RUclips. I looked up logarithm graphs, etc. it would be nice if there was a one stop shop we could go to so we know exactly the depth we need to know instead of going to all of these different RUclips videos like I’m doing now.
@@lilrabbitcuz It's so true! So much MCAT resources focus on the content, while the Skill 3 (research design) and Skill 4 (data analysis) are also essential to success. Quick answer on the p values - a p value of
@PhantomLink I'm working on a video bank this year that I hope will become a more comprehensive resource for MCAT skills, so thank you for the feedback!
If you'd like a worksheet on the common experimental design terms on the MCAT, I've built this google doc here: docs.google.com/document/d/15k4pm0WtY19im-paQbAqZ6EZp1hMrLnNuJ7WXMLAbiw/edit?usp=sharing
Hope this helps and good luck with your studies!
can you please do a unit conversion video? love these!
You're in luck! Here's the link: ruclips.net/video/IWh0J3EgZy4/видео.html
This video was so freaking amazing!!!!!!!! *virtually hugs you* This has completely changed how I look at and will approach data presented in passages. Keep doing the Lord's work, we appreciate you!!!!!!!!!!!!!!!!!!!!!!!🥲
Thank you! I'm so glad you liked it!
Is it always the case that to make a correct conclusion, based on a graph like the one in the video, one should consider the statistical significance in the context of the group/condition it is in and not the wider context of all the other groups of bars?
My conclusion was that "The knockout gene is not responsible for Proinsulin Synthesis." I thought this because the knockout produced more proinsulin. I interpreted its mark of statistical significance to mean/to be comparison with its (the knockout mouse) function in the basal condition indicating a important increase in proinsulin production therefore the knockout was not important to Proinsulin synthesis.
Yes - that is best practice! When you are provided statistical significance on only one portion of the graph, it is generally referencing that variable with a given condition (in the example in the figure, there is a statistically significant difference between wildtype and knock out in the 16.7mM glucose condition). While you can also see, based on the error bars, that proinsulin rates are higher with more glucose for both WT and knockout, the * indicates a significant decrease with KO mice compared to WT in the higher glucose condition. If they wanted to compare KO mice basal rates to high glucose rates, they would have had to draw a bracket between those two bars (the light gray ones) and drawn a star above that bracket.
@@bremmethod Thank you for the clarity!
I think it would be cool to do an MCAT figure/table analysis series :)
I'll work on that next! Got a few math videos coming up in my Math series this month. Tables and Figures are definitely big features of the recently released exam.
@@bremmethod Can't wait! Your video is helping me look at the MCAT in a more critical manner.
This was extremely helpful! Thank you so much!!!
You're welcome! I'm so glad you found it useful
thank you for this! pls make more videos about this :( esp the different interpretations of diff graphs and tables!
It's in the plans!
You are amazing !!
Thank you!
Love it ! Is it possible to get real MCAT passages then you can take su through it
Based on the stuff you’ve mentioned?
We aren't able to post videos reviewing AAMC MCAT passages on RUclips due to copyright issues. However, we do review these passages in my courses!
Can another conclusion be the amount concentration of glucose and how it has an affect on the Relative proinsulin synthesis?
BTW, Thank you so much!!!
For sure! We can see that the more glucose we have, the more proinsulin synthesis we get. This is something that the experimenters would likely already know, as this is a well-known endocrine pathway, so the "experimental" part of this passage is our KO mice variable. However, the MCAT could definitely use this data as a check to make sure you understand the relationship between glucose and insulin!
I love love you
Glad you liked it! Thank you!