Many of these professors don't have a degree in public education/teaching background despite their long life experience, i admit it my professor literally can't even explain it articulately so don't expect much imho.. just go to college, sit, do some assignments, and mid terms then final exams, or quizzes, pack ur shit and graduate.
Also the videos that get it right are viewed often and recommended, I had an awesome professor still working for part time petty wages while idiots can get tenure
Sometimes a student's concentration fluctuates when in a class of many other students causing the students to not understand the professor, while in other times it could just be the professor who honestly fails at teaching 🤷🏾
So, when it comes to which type error has greater consequence it always depends on the context. In addition, as long as you justify it. For examples for the last example I believe type 2 error is greater consequence as the defendant could be a murder. Therefore, a high risk chance of somebody being murdered. That's my opinion and you can argue with it the other way round
Wonderful explanation. Identifying the bad decisions first and then see where NULL hypothesis is rejected, will lead to find TYPE I error. Wow. You nailed it. (Y)
I really appreciate your simple approach to these examples. They really help to visualize the 2x2 grid. However your wording for the 2nd example may throw people off.
P(Fail to reject Ho| Ho False) = Type II error. P(Fail to Accept Ho| Ho True) = Type I error. Type II error is the probability of a decision. Probability is a result of any action or experiment. Type I and Type II error are the result (probability). What you have written in this table is equal to the Probability of Probability Conditional.
In terms of consequence and rules of evidence, extraordinary claims (hypotheses) require extraordinary evidence to support their validity. The null hypothesis is always assumed to be true as a baseline --- it is the status quo. In order to overturn or reject the null hypothesis, one needs to bring extraordinary evidence. In terms of the law, the assumption is always innocence until extraordinary evidence is brought forth to overturn the assumption of innocence. This bias is to help ensure that the bigger consequence (innocent man is deemed not innocent) is less likely to occur than the smaller consequence (not innocent man is deemed innocent). This law favors individual protection from the immensely powerful legal system, in favor of a more distributed risk to society of having a not innocent man roaming free.
The terminology around the decision to reject or not reject the null hypothesis is awkward, but it has a reason for being so. When testing hypotheses, one cannot accept the null hypothesis; one can only reject it, or not reject it. Since we cannot take action to accept the null hypothesis, we are left framing it in terms of rejection (reject null hypothesis, not reject null hypothesis). It would be much easier to say "reject" or "accept" rather than "reject" or "not reject", but it is only accurate to frame it in the latter way.
Correct me if i am wrong, but Type 1 or Alfa error has a greater significant, therefore your first example was set up wrong . Ho should have said "Johns used car is NOT safe to drive " that would make first rejection type1 or more significant ... Right?
I think in the last example type II error haa greater consequences because when the defendant is guilty and is free he would do more crimes and might hurt more than 1 person but type I, just one person is hurt
Question 2 part C is pretty much a moral debate. Obviously an innocent man in jail is horrible but what if the guy who was let off the hook now goes and commits a school shooting? You can't actually say one is worse than the other.
Honestly for the last own, if we are thinking logically, statement C should have a greater consequence because having a not innocent guy with the judge thinks he is not guilty causes more trouble than the other way around. Think about this, if that man is a killer, he would kill more people and you would lose more lives. But, if you place an innocent person in prison, you would not lose any lives.
I think C) Type 2 error would lead to greater consequences because the person who is not innocent is accepted as not guilty would lead to not imprisoning them and they are free to commit crimes that will cost many other people whereas if A) the innocent person is accepted as guilty and goes to prison it is a bad decision but it only costs that one person. I think contrary to the video C Type 2 error would cost more lives and thus have greater consequences!
In second one it may possible that the man who is no innocent and however get free due to wrong decisions then he can probably cause a great harm to community so i guess it has greater consequences
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This RUclips Channel is literally the only thing that keeps me from failing all my math classes.
Yeupppppppp same
Omg right?? Me too, lol.
this isn't math what
@@Josama0214 this is used in statistics classes, when you need to calculate type 1 and type 2 error probability thats math
@@mmelo7832 No it's not
why do college professor take hours explaining these things while this guy does it better in 10 minutes?
Many of these professors don't have a degree in public education/teaching background despite their long life experience, i admit it my professor literally can't even explain it articulately so don't expect much imho.. just go to college, sit, do some assignments, and mid terms then final exams, or quizzes, pack ur shit and graduate.
Yeah haha
Also the videos that get it right are viewed often and recommended, I had an awesome professor still working for part time petty wages while idiots can get tenure
Me too I wonder why 😮😅
Sometimes a student's concentration fluctuates when in a class of many other students causing the students to not understand the professor, while in other times it could just be the professor who honestly fails at teaching 🤷🏾
you helped me last year, you helping me this year, ... Thank you for making my college life easier!
You are literally the reason I will pass my stats exam tomorrow. Thank you!
did you pass?
did you pass?
I don't know if he passed but I have mine tomorrow and I will notify if I passed @@mohammedasharabi3134 😭😭
@@Tammy-mq9ng i too have an exam, wish you luck and me too🤥
Your videos have always helped from Community college to university, and now continuing to do so in graduate school. Thank you
Thank you! Just got a brief and well explanatory session about Type I and II errors… Really anticipating more videos from you. Cheers!
You are the best teacher I have ever come across. I have an exam in 52 minutes. Thanks a ton!
Atleast someone out there who is better than Khan Academy ..... Thanks a lot
your videos are the best! i've been watching you for 3+ years now
Thank you 😭 taking stats in college and your vids came out right on time 🙏
Watch another video for type I and type II error.
ruclips.net/video/IE9D_GmE2Ww/видео.html
ratio + l
So, when it comes to which type error has greater consequence it always depends on the context. In addition, as long as you justify it.
For examples for the last example I believe type 2 error is greater consequence as the defendant could be a murder. Therefore, a high risk chance of somebody being murdered. That's my opinion and you can argue with it the other way round
I wish if I could see the person who is helping me so much in my college life :'(
Watch another video for type I and type II error.
ruclips.net/video/IE9D_GmE2Ww/видео.html
Wonderful explanation. Identifying the bad decisions first and then see where NULL hypothesis is rejected, will lead to find TYPE I error. Wow. You nailed it. (Y)
I feel like I'm on the same journey as you, your the navigator and I'm a fellow explorer, thanks for teaching!
Im forever greatful for him!
I'm taking business statistics and this was of great help. Thank you, Sir.
I feel like I’m watching Dora. I keep shouting out the answers.
Watch another video for type I and type II error.
ruclips.net/video/IE9D_GmE2Ww/видео.html
Oh this was a GREAT way to learn this! My prof actually showed us this video, and quite a few more of yours, so thank you!
beign punished for something you didn't do is VERY BAAAAAD!
You're not exactly a tutor, more of a teacher. Thanks teacher
Best teacher ever ! I have no more words ! ❤️🥺
Thank you very much. I was completely lost with the type II error. Well explained man, thumbs up!!
Bruh everytime , every fucking time , this guy is a genius
If only my statistics teacher is half good compare to you. You really are my hero bro !❤
Bro .. I love your videos , I find it easy to comprehend compared to lectures . God bless you !!
I am very grateful for this great help..I have passed my stats exam with 82/💯 just bcz of u💕🇵🇰
I really appreciate your simple approach to these examples. They really help to visualize the 2x2 grid.
However your wording for the 2nd example may throw people off.
This guy helps me out more than my actual teachers
Legend for coming up with such simple examples thankss ma g
Maashaa2Allah you're a genius
Very good explanation 👍
Watch another video for type I and type II error.
ruclips.net/video/IE9D_GmE2Ww/видео.html
Thank you very very very much, I can't thank you enough, you really save my life.
This 11 minutes video made me understand more than what my lecturer has taught in 4 hours of lessons lol
Thanks for this video, it helped me out a lot!
does a certain type of error always have a more severe consequence or does it just depend on the context? Thanks for answering.
Man, can I give u a hug? Please?
You'll forever b e famous!
Thank you!
P(Fail to reject Ho| Ho False) = Type II error.
P(Fail to Accept Ho| Ho True) = Type I error.
Type II error is the probability of a decision.
Probability is a result of any action or experiment.
Type I and Type II error are the result (probability).
What you have written in this table is equal to the Probability of Probability Conditional.
Excellent explained. This contribution is one of the best stats pearls I have ever read
thanks your videos help me understand stats better than my lecture videos and tutorial class hahahahhhahaaha
This os a clutch upload it's 2:30 am where i live i needed this
ma brain automatically knows their functions when i watch your video :))))
Watch another video for type I and type II error.
ruclips.net/video/IE9D_GmE2Ww/видео.html
Thanks bro, the table is amazing 😘
thank you so much. you are an amazing teacher.
In terms of consequence and rules of evidence, extraordinary claims (hypotheses) require extraordinary evidence to support their validity. The null hypothesis is always assumed to be true as a baseline --- it is the status quo. In order to overturn or reject the null hypothesis, one needs to bring extraordinary evidence. In terms of the law, the assumption is always innocence until extraordinary evidence is brought forth to overturn the assumption of innocence. This bias is to help ensure that the bigger consequence (innocent man is deemed not innocent) is less likely to occur than the smaller consequence (not innocent man is deemed innocent). This law favors individual protection from the immensely powerful legal system, in favor of a more distributed risk to society of having a not innocent man roaming free.
Daamn teacher!
You are awesome, Thanks so much for making these clear.
Thank you for taking the time to explain, it helped me a lot! Thanks for your videos!!!
This was extremely helpful thank you! :)
Very nice Sir ... Clear now !!!!
Thanks
Thank you for taking the time to explain, with so many examples! ☺️
I stayed to assess your morality in the last example. Quite interesting.
Got the most of drift back in time come down grownup
Finally understood. Thank you so much!
The terminology around the decision to reject or not reject the null hypothesis is awkward, but it has a reason for being so. When testing hypotheses, one cannot accept the null hypothesis; one can only reject it, or not reject it. Since we cannot take action to accept the null hypothesis, we are left framing it in terms of rejection (reject null hypothesis, not reject null hypothesis). It would be much easier to say "reject" or "accept" rather than "reject" or "not reject", but it is only accurate to frame it in the latter way.
Beautiful explanation
again great explanation. thanks.
Amazing!! Explained so very well!! Thanks a ton ❤️
Fantastic analysis....
please make a video on laplace and fourier series
great video very easy to understand
excellent explanation. Thank u sir a lot
Thank you so much for ur simple explanation,,now u opend my eyes ,,,lol....
you are a great man you simplify any think i love you dude
Moral conundrum and math. Mind blown
Correct me if i am wrong, but Type 1 or Alfa error has a greater significant, therefore your first example was set up wrong . Ho should have said "Johns used car is NOT safe to drive " that would make first rejection type1 or more significant ... Right?
I'm same with you at first but after saw again that's I was wrong😅
the key word "in fact"
in fact same or different with Ho
So what if there's no option? Like in our exam we need to explain why we choose type 1 or type 2 error
What is "P(rejecting a false Null Hypothesis)" represents? Is it the probability of fail to reject H0?
I think in the last example type II error haa greater consequences because when the defendant is guilty and is free he would do more crimes and might hurt more than 1 person but type I, just one person is hurt
putting an innocent soul under a punishment is way worse than undoing all the punishments for bad souls
note to self: type 1 error: only occurs when null is true type 2 error: only occurs when ho is false
Thank you for video!
Thank you so soooo much 🤍🤍🤍🤍🤍🤍
Great examples
God bless you man 👍
Never make the type 2 error of choosing a False Ho 😂
Or the type 1 error of rejecting a True Ho 😢
How we identify the null hypothesis is true or false?
Thanks Sir.
I got it! I got it! I got it! Thank you soooo much
Thank you very much !
This is massive thanks
if only I saw this earlier coz it appeared recently on my exam hahahah
you are best bro
Thanks
this guy is amaizing
thank you. you are the best
why the fuck does this guy know everything man
1 innocent should not be punished even if 100 guilty escape away.
This hurts my head
Thank you!
Type 1 and type 2 error is so confusing for my dyslexic mind to comprehend
you got thiss!!
thank you
Question 2 part C is pretty much a moral debate. Obviously an innocent man in jail is horrible but what if the guy who was let off the hook now goes and commits a school shooting? You can't actually say one is worse than the other.
I think choice u make depends on explanations
Honestly for the last own, if we are thinking logically, statement C should have a greater consequence because having a not innocent guy with the judge thinks he is not guilty causes more trouble than the other way around. Think about this, if that man is a killer, he would kill more people and you would lose more lives. But, if you place an innocent person in prison, you would not lose any lives.
But the life of the innocent person is lost
bro didn't care about the innocent soul💀
man thanks so much
I think C) Type 2 error would lead to greater consequences because the person who is not innocent is accepted as not guilty would lead to not imprisoning them and they are free to commit crimes that will cost many other people whereas if A) the innocent person is accepted as guilty and goes to prison it is a bad decision but it only costs that one person.
I think contrary to the video C Type 2 error would cost more lives and thus have greater consequences!
Love you ❤
Type 1 error has a greater consequence.
thank youuuu
love from bangladesh
In second one it may possible that the man who is no innocent and however get free due to wrong decisions then he can probably cause a great harm to community so i guess it has greater consequences
nooooooooo John 😭