Added: 2 years ago
From: educatevirtually
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  • Thank you very much!!

  • good

  • I'm in graduate school at Columbia University (yes, I really am) and you just did a far better job explaining this than my professor. Thanks to you, I now understand the concept. Congratulations, you just out-taught an ivy league school. (No disrespect to Columbia or my professor intended. It's not an easy concept to teach.) Thank you very much, keep up the good work.

  • @aquaphone Thank you very much! If you learned from that video check out the rest the Educate Virtually channel. Also, we offer e-Learning! My practical application education came from the University of Maine College of Engineering. Thanks once again for your kind words. Charlie Carpenter, founder Educate Virtually

  • good work!

  • I have trying to understand this for a couple hours and you did it in 5 minutes! Thanks!!

  • Thank you very much, sir. A very simple explanation for a concept I keep forgetting despite years of having to deal with the dreaded p-value.

  • So if there is no difference does that mean its not significant?

  • @Ahdree23 If I am testing for normality I want to be able to say that my distribution is not different than a normal distribution, or there is no difference which is a significant result. If I am testing to determine if something makes a difference or not the low p values tell me there is a difference and the high p values tell me there is no difference. In either case the result is significant because I can now make the proper decision to declare if there is or isn't a difference.

  • very clear, thanks!

  • wow! thanks

  • Thank you for such a straight forward and understandable explanation!

  • One of the most common misconceptions about P-Values in Bayesian statistics is that the P-Value is the probability of the null-hypothesis. The P-Value is actually the probability at least as extreme in which the null-hypothesis is true. If P=0.05, then it means that if you run the experiment 20 times (which the null-hypothesis is true), then at least 1 out of 20 experiments would become statistically significant when it is in fact, a Type I error....

  • Thank you so much....! I have done a whole days worth of reading to try an understand what you just made me understand in a mere 5 mins!

  • Simple and to the point.

  • I can't thank you enough,

  • THANK YOUUUUU! ive been stuglling to understand the simple meaning of a p value. This helped!

  • Thank you sir.

  • once again, thank you

  • But what's the x and y axis for the bell shaped curve? I'm confused on what the graph is actually of. Mileage vs. what? And what makes it distributed that way?

  • @elizze6 The x axis represents the values of gas mileage, the y axis is the frequency that an individual value of gas mileage occurs. The shape is a normal distribution, which in most cases is the shape of a data set of almost anything. Watch the testing for normality video to get a better understanding of the normal distribution. Happy New Year. Charlie

  • @educatevirtually Oh okay I think I get it now. I'll watch the video though too

  • OMG THANK YOU SO MUCH!!!!! I am doing my marketing project and i was so confused on the p-value! Your explanation is clean and easy to understand... really, seriously, THANK YOUUUUUUUUUUUUUUUUUUUUU

  • Thank you so much! Your explanation helped a lot!

  • thank you.

  • btw, your voice reminds me of jim henson. and that is awesome.

  • Nice explanation. Very straightforward.

  • @kepstein8888 Thank you. Subscribe to the Educate Virtually channel for more videos on stats, quality, and lean six sigma. Visit our website for much more at Educate Virtually Thanks again, Charlie

  • This is good stuff. I am a Cell biologist and do sometimes forget how to do these tests and understand the read outs. Nice to get back into practice. Great video and very nicely put together. I find that if someone can explain a very complicated method or situation in simple words understands that subject very well.

  • @data790 Thankyou and you are welcome. Visit the EducateVirtually website for more! Sign up for the newsletter. A new issue in about 1 week. Thanks Charlie

  • This is brilliant. A very clear explanation of the principle.

    Thanks

    MG

  • A bit too simplistic isn't it?.....it looks at the distribution of means.

  • @udubtxguy That was the point, to keep it simple.

  • good job! very clear explanation

  • Thankyou! There was a certain question in USMLE that was very similar to this demonstration except that it had given confidence intervals. Now I understood it. Thanks a lot for this helpful demo!

  • Thank you very much. what scores of statistics books failed to teach me about P value you taught me in 5 minutes. It's about "Over-Lapping"!!!!!!!!!!!!!!!!­!!thank you so much!!!!

  • This is amazing. I understand the P-value now. Thanks very much.

  • really helpful

  • @forhadur Check out the other videos. I am sure you will find the EducateVirtually channel to be helpful. Visit our website as well for e-learning and test your knowledge quizzes.

  • wow.. thank you so much!

  • i've been trying to understand this for the past 6 months and all it took was your 5 min vid to get the concept in my head....ur amazing!!

  • It's so nice when someone is explaining statistics that they don't just give the equations but actually explain what the numbers mean. Thank you!

  • Wow, my Stats final exam is tomorrow and i had no idea what P Value was....NOw i know!!!!!

  • Glad it helped. Check out p-Value Explained II for more insight.

  • Thank you very much my good sir, we hope to see more of your videos

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