Null Hypothesis, p-Value, Statistical Significance, Type 1 Error and Type 2 Error

[@leahjaelgreen]

Cannot thank you enough I have been struggling with this for two days. Taking online statistics is a bad idea, but you made it very logical and now I understand. Thank you thank you thank you! ❤️

[@Goldpoint3295]

Most explanations of P-Value on KZbin are not clear at all. Some do not include the alpha threshold for the interpretation of the P-value. They also explain that the 5% shows that there is only a 5% chance of rejecting the null hypothesis. This is the best and clearer explanation out there❤

[@cait7140]

Realized I failed my stats midterm because I didn’t properly understand these key concepts. This video clarified so much! Hopefully the next midterm goes better. Thank you for your clear, concise explanations

[@hit4success]

this is the video tutorial where my concept has been cleared on P-value, TYPE I & II error, Level of significance, and 3 Test. Thank for sharing the video.

[@InaKatsCanne]

can't thank you enough! one of the only videos out there that puts it in a health services research/biostats context, appreciate it!

[@jluqas]

I can’t thank you enough for this exceptional video. All the doubts in my mind about p-value, statistical significance and the Ho cleared. You are god sent!

[@bikegirl649]

With much gratitude, I thank you for succinctly explaining p-values, stat significance. I've been struggling for days and am thankful this video popped up in my feed.

[@pumpkinpie025]

Hi there, I'm completing a research class in my NP curriculum and you've pretty much summed up 3 chapters in a nicely explained 16 min. video. Honestly, statistics is such an abstract topic, but you've managed to clearly explain and correlate concepts in a very logical and understandable way. I will be referencing your video in some of my discussion boards. Thanks for taking the time to put this together. Great job!

[@kendallshaw1154]

You just explained in 15 minutes what my professor couldn't get across in 6 hours of lecturing. Posting this link to my class discussion forum!

[@BadlndsBob]

Very informative video. I had this in grad school a LONG time ago and this was a good refresher. It helps me to be certain of how poorly informed (ignorant) some folks I know are.

[@chenburnett]

Jesus！So far, the most explicit but in a simplest way to explain these difficult stuff which enables me finally start to understand more about all these tough concepts！Thanks!

[@nathaniel6975]

Thank you ...you saved me almost a week to exams and I am now getting the concepts

[@andotech]

This is crystal-clear. Thank you! A lot of us are using this for machine learning to hasten the Technological Singularity. Make sure you're all paying attention and keeping your politicians in check! This can turn out to be a utopia or a nightmare for humanity. Good luck, everyone, and I'll see you on the other side!

[@CesarFelipeLopez]

Came here after jumping around some videos looking to clarify what the P-value was. Thanks for the easy explanations.

[@fundeadwarrior]

Explained in a clear, simple and sequential manner. This man is an artist!

[@coventrykids9795]

Literally the best video-tutorial on methodology that I have come across so far! Thank You!

[@shayekhabedin4462]

the moment i started watching the video - you made me feel so good by calling me a distinguished physician, tysm

[@oluwatobilobamayadenu6261]

One million years for you o..u've helped me a lot now in understanding my course

[@taurahdizadare8238]

Thank you so much for breaking biostats down in a much simpler way for me to understand. I have my exam in 3 weeks and was freaking out terribly behind these concepts. You're a lifesaver!

[@rebeccatheurich6397]

thanks, u are far far better than my lecturer in school. i truly am grateful

[@joeeesim3281]

I watched at tons of video prior to this and still not sure what is going on, until I found this. Thank You! much appreciated!

[@Katie-ic4fx]

You must know that I spent a whole 5week period trying to understand these concepts, getting overly frustrated because none would explain this in a crystal manner as you did. Finally, I get it. Tutors like you are worth receiving funds to get this presented elaborately as you just did here. my goodness, I'm liberated!!!!!!!!! Thank you a mammoth!

[@amieparsons5110]

This is great! I am in mental health and the way you explained it in clinical terms was so helpful! I will be passing this on to my son as he will be attending med school soon. Thank you!

[@ozgurtekcan8304]

It is probably the best video explaining Null Hypothesis, P Value and their interaction plainly. Great Work!! Many Thanks

[@ianluckhurst2709]

very nice! I'm struggling with stats basics for my masters program and this was great for me to understand some of the important things.

[@gabrielleassemian5154]

Very helpful for beginners you explain it with simple words which makes the difference. Thank you for using the correct type of communication which is SIMPLE WORDS and giving examples right away helps understand the material a lot. Thank you.

[@oscarwilde399]

One thing that I would point out is that a p > 0.05 DOES NOT mean that there is "no statistically significant difference" (see 10:09). It only means that we cannot tell if there is a statistically significant difference.

[@wandag1311]

Thank you! This helped in a much clearer fashion! I don't know why people can't explain this stuff simply for those of us who aren't trying to become a statistician.

[@mmagat1]

Thank you, great video! In preparation for my Certified Quality Engineer exam, this video helped break down the details to nice digestible levels.

[@saratrejo7271]

This video was great to build a foundation to understand statistical hypothesis. Thank you!!

[@gwendolyngaines3016]

OMG!!!! Where have you been! You just simplified the Null and Type 1 and 2 Error! THANK YOU. I have placed you in my favorites!!!! Keep up the great work for people like me. :)

[@chung-han]

You really saved me. you cleared almost all of my confusion this whole semester with this video alone, would like to see more research statistics explanations like this one.

[@reconshunter]

I still have issues understanding the p-value. If it is, as you said 7:02 then having a high p-value, therefore a high probability that we will again get a difference of 20 between the two groups, would that no indicate, that there is a difference and therefore the groups are not the same? Why does a low probability for a difference indicates that they're not the same?

[@angelaolton467]

Hi there...really enjoyed the video and helped me in understanding these concepts better, so thank you! I clicked on the black box in the end (watching from computer), but it does not go to another video, it only pauses and plays the current video. Thank you again for this great tutorial!

[@lazarusw9297]

Thank you, your explanation is very easy to follow. I may have learned more from you than my current teacher.

[@stevengreen3156]

Thank you for the explanations in this video. I have an Epidemiology exam tomorrow and the information in this video has helped me greatly.

[@javid659]

Understood things make easier to understand others...I am very thankful to him for such a nice presentation. But one thing which I am unable to hear correctly is the name of two groups when compared. If any one please write the two groups being compared...

[@narminmusayeva6082]

Perfect explanation. Finally understood the p-value. Thank you!

[@pamgarat2056]

Thank you. I missed a week of school and have felt lost since. Your explanation was great and I will be watching it a couple more times.

[@someperson8035]

very helpful! I am a first semester nursing student and we are learning statistics for evidence based practice. Thanks

[@thejojoproductions2532]

Thank you for this amazing video! I had sat in on my stats lecture a few weeks back and was mildly panicking because I didn’t understand Type I/II errors and why alphas and betas were popping up. I’ve understood more in this 15 minute video than in my whole 2.5 hour stats lecture.

[@millionairedee6136]

This was by far the best explanation of pvalue for me.

[@shobhamandal982]

this is the first time understood sir..thank you

[@stomponstep1989]

+Shobha Mandal thanks for the comment and feedback Shobha! I'm glad the video helped

[@danahmohammad8269]

thank you you've helped me a lot , now i just understood the whole concept

[@nadiayvonnerazanajao7082]

Cheers for this, I been tryin to find out about "learning powerful methods to build your Chi energy" for a while now, and I think this has helped. Ever heard of - Fellmeroni Rudimentary Chi - (just google it ) ? Ive heard some interesting things about it and my work buddy got excellent success with it.

[@aejaycoronel4690]

hello, thank you for making things lighter and comprehensible in a nut shell compared to the actual review center discussions which i find it chaotic and informaton overloaded. really big big help in my self studies.. keep up the goodwork guys! you're amazing!

[@annakonjengbam928]

Miss do you know how to calculate Can u please calculate for me Tomorrow I have to submit my project i don't know how to calculate I can't focused at all my hands are shaking 😭

[@mariadevora4927]

EXCELLENT VIDEO, very good presentation, easy to follow and understand; you helped me so much for Nursing Research statistics and data analysis class; I will check out your other videos also. thank you again

[@harshmalik3470]

The greatest explanation ever to these topics. Thankyou so much!

[@justinmahoro3687]

This is very helpful. The last summary you did about which test to perform it was very important.

[@ryanmaki323]

Thanks for the explanation! you made it way more simple for me to interpret the differences in p-value and alpha in my data from my 1st ANOVA study I did for school.

[@stephendavis2592]

Really helpful! No unneeded information. Thank you!

[@kaviranganza2875]

Thank you for helping me to understand this point of the significance of Hypothesis testing. The video is helpful.

[@seidwodajo3499]

Wowww What a clear explanation. That is the reason why I love KZbin!

[@gurpreetsinghdhanjal2089]

Very well explained......I went from confusion to clarity really fast! Thank you!!! :)

[@davidking9328]

I'm highly grateful for this video. I finally understand p-value and stat significance. You have done a tremendous job brother, God bless 😊🙏🏾

[@juliasheff2065]

Your videos helped me straighten out a semester's worth of statistics; I definitely feel like I have the terms more organized and I'll be better prepared for my exam today

[@mansi1244]

After a long research I got ur video ..it’s very useful

[@linduncan7731]

Clear - actually nearly getting it!! Thanks.

[@stomponstep1989]

+lin duncan thanks for the comment Lin!

[@LuisCamacho-ql5so]

Best explanation on KZbin

[@innocentiaerdogan7408]

I am a PhD student I must say this helped a lot. Thank you Sir.

[@summayaasmat1856]

U made it so simple thanks sir...i watched many videos before but they jst confused me even more....this one really helped me👍

[@aikiistifanus8067]

Lightens up some of the grey areas i was facing in Statistics. Thanks.

[@MrCompenso]

THANK YOU, you have no idea how unqualified my teacher is for this subject.

[@dr.senthilvadivelmurugaiya3550]

You are highly realistic. After my retirement I have completed my Ph.D only with the you tube statistics. I think you want to learn more statistics. My revered you tube professors are Pat Obai, Toad Grande, Balasubramaniam you also refer them. My blesses

[@kikimuratore2208]

This helped so much! Clear are straight to the point, hopefully I'll do well on the exam

[@vinodhkumar_1729]

I need to calculate sinficane test. Could you Please help me

[@melvinloh7]

short, concise. more importantly, the information is precise. thanks for sharing your knowledge!

[@Moon-fq9bp]

7:43 you said p- value is the measurement that how much does the observed data disagrees with null hypothesis. So, doesn't low p-value means low disagreement and hence the null hypothesis should be true then?

[@shabareentisha787]

Thanks a lot for your great effort. This is one of the best lectures that I've ever watched.

[@waqasahmed112]

A huge thanks to the way each concept is explained and it really helped me a lot!

[@elizabethb60]

This video was very helpful and the clearest explanation I have come across on the topic.

[@steftheengie2904]

i have a stats exam in 8 hours. i love you profusely.

[@felixkulelogo7738]

THIS IS SUPER TO SOME OF US THE BEGINNERS IN BUILDING A FOUNDATION IN STATISTICS

[@ranrana3]

I do appreciate your hard work! Your video helped me a lot, especially when it comes to rejecting and fail to reject the thanks hypothesis

[@cherylhoward8567]

This video really helped me understand these concepts better. Thank you for the clarity!

[@mengistubelay5097]

i appreciate your video that make users can notify easily.

[@ModouNget-os5kv]

Thank you so very much for this wonderful and clear explanation. Am working on my research and this is really helpful.

[@halletiessen580]

Thank you so much.... this helped me study for my advanced statistics midterm

[@mukwevho01]

the best explanation ever. not abstruse at all!

[@wigneshsubra9882]

good video and direct; the p -value is seem to be irrelevant unless we able to see use anova to check on F value, F Critical value to conclude ?

[@marcequintero9768]

Thank you very much for this. It's very useful. No studying in the US but statistics are, of course, the same everywhere, and exams likely ask similar questions. Keep it up :)

[@mildredakandinda6574]

very interesting I have been hearing those terms was being disturbed in understanding, but now iam coming up. Thank you so much

[@nithinthesedays]

This really helped me in my report. I am relatively new to statistics and p-testing but this was really helpful.

[@alicefreegard8241]

really helpful thank you! The realistic examples really helped too. I find it so challenging to understand this topic when reading from a text book

[@brendapoole8490]

This video was very helpful. I really understand the different approach to testing. Thanks for your expertise.

[@aravindssingapore4327]

Very broad, very deep, very mountainously great method of teaching...reminds me of the song River Deep, Mountain High

[@jenniferramos9967]

fantastic video! Learned so much in 15 mins than my hour lecture.

[@tonyhoran7062]

thank you, this is very well explained. Explaining stats in plain english must be very tricky, eg the constant use of double negatives in explaining stats, eg in explaining type 1 and type 2 errors can lead to misunderstandings.

[@wahjmohamedkhair8018]

most important information for me was understanding the meaning of p-value, because I thought rejection the null hypothesis meant automatically the alternative , but I can now see that is only a measure of how compatible our data with the null Hypo.

[@rinardsilvosainnovativesol9122]

This video clears my misconceptions at last.

[@excalibur9768]

I've conducted a study on the effect of a nitrate supplement vs placebo on a anaerobic sprinting exercise. I have measured peak power output (PPO), relative peak power output (RPP), anaerobic capacity (AC), and fatigue index (FI). The p values were as follows: PPO 0.06, RPP 0.04, AC 0.03 and FI 0.88. Given that my null hypothesis was "acute nitrate supplement will not improve power output..." should I accept the null because PPO only shows a trend or reject it because RPP and AC show significance. I'm leaning towards accepting the null but it's just a bit confusing because part of my results are significant but I don't feel I can justify the alternative hypothesis on those

[@tadeventsinnovationsltd494]

Thanks alot McDaniel, it's a great video, it simplifies what's usually perceived as complicated 🙏🏽

[@patriciasanchez7822]

this video clarified all these concepts for me, thank you very much!!

[@minnaaa7273]

omg thank you so much! Best video on the topic so far. Very easy to understand.

[@አሳምነውፅጌ-ቀ3ዠ]

so fantastic it was. Can you help me about one dependent and four independent variables to test the null hypothesis in multiple linear regression?

[@siyuanwei8315]

Very well-paced and clear explanation of the concepts. Thank you so much!

[@godwinvictord3905]

wow..... this video is an eye-opener for me into the world of data analysis

[@erikafleming2872]

A thought for future iterations of this/this type of video: When using values to exemplify what you're describing, it would help the viewer to see those values on the screen. I had to re-watch so I could write down the values to see what you meant/prove it out with you.

[@scug]

A p value of 0.2743 would fail to reject the null right? P value of 0.0359 would favour reject the null right? Assuming alpha is 0.05.

[@lolitailumin167]

Please show how to compute for the P- value. Is there a formula? Thank you very much for answering.

[@lolitailumin167]

How to get the p value, please?

[@johnashom1674]

This is really rich and easy to understand, thank you.

[@shubhamupadhyay2234]

Can someone help me out? When we talk about the groups, for eg. that there is a significant difference between two groups when p-value < alpha, are the two groups that we are referring to are the datasets from null hypothesis and the dataset for alternate hypothesis?

[@123shainz]

This is only Vedio that cleared everything that I was looking for

[@laibakhan2678]

Thank you so much for this video! It has really helped me understand all these different terms and meanings when it comes to reading scientific papers