I went to school like 2 months for this lesson and can understand not a bit at all!!! But spend 30 mins on youtube, I gained back confidence. Well, I am not dumb. Thanks so much
This video is so helpful. Thank you so much. I did not understand allot from my Stats course, but this short video has made me understand the material in such a short time. God bless you.
I am so glad i found this page, when the syllabus seemed too much for me , you made it easy for me. Lots of prayers for you sir !! And love from your student in Pakistan
This video is everything. I love your explanations and examples which really made sense and helped me understand my material. I cant think you enough!!!!
Thank you a lot!!! i searched all the videos in youtube and didn't understand. but this video explained sooooooo clear and easy understood!!!! i really appreciate it !!!!!!!!!!!!!!!!!!!
WOW, the BEST explanation on this un-intuitive subject called Statistics for a student like me that likes practical and hard solutions to problems. I don't do well in hypothetical theories. Thank you brother
Thankyou sir this i have understood your explanation, it makes sense.I was not understanding this concept but your explanation made it easy for me to understand.
Thanks for the lecture. But I thought this was supposed to be a right-tailed test because the alternative hypothesis says that the mean is Greater than 23
An observation was made that in a certain city children were underfed. As evidence, all 25 boys in the city of that age were weighed and found to have a mean X of 80.94 lb and a standard deviation (s) of 11.60 lb. Boys of a certain age have a mean weight of 85 lb. a. State clearly the null and alternative hypothesis and choice of test size. b. Do these findings indicate that children in the city are underfed? c. What do type I error and II error mean in this situation?
Use AI like chapt GPT next time and check for calculation errors. a. H0: μ = 85 H1: μ < 85 , indicating underfeeding. b. To determine whether the findings indicate underfeeding, we can perform a one-sample t-test. The test statistic is calculated as: t = (X̅ - μ) / (s / sqrt(n)) = t = (80.94 - 85) / (11.60 / sqrt(25)) = -1.75 Using a t-distribution table with 24 degrees of freedom (n-1), we find the critical t-value for a one-tailed test with a significance level of 0.05 is -1.711. Since the calculated t-value of -1.75 is less than the critical t-value of -1.711, we reject the null hypothesis. Therefore, we have sufficient evidence to conclude that children in the city are underfed based on the given sample data. c. A Type I error would occur if we concluded that the children in the city are underfed based on the sample data but in reality, they are not underfed. A Type II error would occur if we failed to conclude that the children in the city are underfed based on the sample data, but they were actually underfed.
One-tailed vs 2-tailed tests: czcams.com/video/Iv1RQnjV-1U/video.html
i couldn't understand my 2 hours lecture , but you explained it in 5 min in very clear easy way ! thank you
Bonakid ka abi yawa ka
Bro, where are you from,?
I loved the explanations and the examples. This is the best among the ones I have watched so far. Thanks a lot
This is the best video about hypothesis testing I've ever seen on CZcams, thank you so much.😘
This guy is phenomenal! Saved my life with my stats final.
Excellently designed examples to convey understanding of tables, confidence levels, AND Hypothesis testing! THANKS!
Thank you for the clear teaching..I can get the clear understand about hypothesis testing from your guidance...
Glad it was helpful!
i feel so confident for my exam after this explanation. thank you so much.
Amazing, best explanation in long time by anyone online or offline, BY FAR ! Thanks Emmanuel, God bless you !
Great explanation!!! I was a little foggy before my test and this made everything very clear and simple. Thank you :)
I went to school like 2 months for this lesson and can understand not a bit at all!!! But spend 30 mins on youtube, I gained back confidence. Well, I am not dumb. Thanks so much
I cant thank you enough!! Your videos have helped me out so much on many different courses. Bless you
the easiest explanation. great job Joshua!
I just watched all the videos in this playlist and you sir deserve a medal. Great content.
Finally after a hectic work of watching a lot of videos ,i found the awesome one ❤❤THAANKS a lot for this simple and awesome explanation❤
This video is so helpful. Thank you so much. I did not understand allot from my Stats course, but this short video has made me understand the material in such a short time. God bless you.
Thank you Joshua. I have been struggling with hypothesis all this while. You made it so simple.
You're welcome, Bose.
Thank you so much. I have learnt so much from you. Thankful to God for your natural talent at teaching effortlessly
I am so glad i found this page, when the syllabus seemed too much for me , you made it easy for me. Lots of prayers for you sir !! And love from your student in Pakistan
Thanks Hajra. All the best.
This is a great overview and example. Makes total sense.. Thank you
This video is everything. I love your explanations and examples which really made sense and helped me understand my material. I cant think you enough!!!!
You're welcome, friend.
A very neat, precise and short explanation on this topic. Thank you very much!
Thank you a lot!!! i searched all the videos in youtube and didn't understand. but this video explained sooooooo clear and easy understood!!!! i really appreciate it !!!!!!!!!!!!!!!!!!!
Glad it helped, Ming.
I've been digging everywhere for this explanation...Thank you Josh !!!
Thanks sir i am from Bangladesh. I have,seen many videos on this topics but after watching this i really understand the topics.
All the best
The best video ever, amazing content what an extremely helpful and educational video! :)
your explanation and samples, are very logic for me to understand, very excellent, thank you very much
Sir you are the best teacher
Because you explained the concept in easy wording and in well manner
Best video on Hypothesis testing. Fully explained. Thanks
Thankyou..student from Papua New Guinea 🇵🇬
So glad to hear. Thank you!🙏
WOW, the BEST explanation on this un-intuitive subject called Statistics for a student like me that likes practical and hard solutions to problems. I don't do well in hypothetical theories. Thank you brother
Very effective and clear!!! You are a wonderful teacher!!👍
Thank you!
Thanks a lot for the excellent explanation with appropriate visual aid. Super!
Thank you soooo much. I finally understand, now I have a chance at these quizzes and my final.
Your explanations are great and spot on! I immediately understand the concept. Thank you so much!!
Thankyou sir this i have understood your explanation, it makes sense.I was not understanding this concept but your explanation made it easy for me to understand.
Glad to hear, Vani.
Thanks for dropping a note.
Great video, helped a lot to freshen up my memory before my exam.
Thank you so much student from CCNY
Your crisp videos covers concepts brillianlty .
Your videos are really helpfull and your method is really simple and understanding ...u are a amazing teacher Sir ☺
Sir thank you 🙏. So calm, accurate and well put together
THANK YOU SO MUCH I FINALLY UNDERSTOOD HOW TESTING WORKS!
wow i think you just saved me this semester haha
thank you so much for your clear explanations
Many thanks, Joshua. Very clear and easy to understand explanation.
Clear and to the point...
In a word outstanding explanation ! Hats off
can you upload more example? pls you're such a brilliant teacher!
Just search this channel for more examples.
Thank you so much for this! I have a quiz tomorrow and I was hopeless. But now, I’m 99% confident that I can answer my quiz tom. 😭💓
Very comprehensive video. I appreciate that 😌
Thanks again. I have really benefitted from your videos. God bless you
thank you so much for this video, you explain so clear
Really nice explanation with simple example...Thanks bro
It's very clear. Thank you
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Well understood sir. Thanks a lot
great,,looking forward to reach those levels of knowledge
Good work I enjoyed learning from you
You're welcome.
I cant't believe I just learn the hypothesis testing in leads than an hour..😂❤
Simply Amazing. Thank you so much Sir.
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The best things in life are free.
Very nice explanation.
GOD BLESS YOU
This is the best I have ever seen!!!
Amazing explanation , Could please make some more videos on Control Charts & include I-MR charts please. Thankyou - Rajesh.N
Thank you so much, I literally cried cause I couldn't understand my text book.
Superb video. You are brilliant at explaining concepts
Thank you. Helped me tomteach my students. Crisp and clear.
This was very helpful! Thank you!
What I cannot understand in 3 hours , now I have understood in 6 mins.
you saved my life
Thank you so much for your explanation.... Very very well explained
This is so good man
I love your videos! You explained every topic well. Thank youu!
Thanks a lot for the great explanation! You are a lifesaver!
So easy to understand. Thanks a lot, something good to refer for your exams! :)
Loud and clear.. thank you man👍👍
Best video ever
Can't thank you enough
Amazing video, thank you so much
Thank you so much sir ,....after searching so many times l finally got the point which was irritating me..and l was confused...so again thank you
You're welcome, Riaz.
Thanks for dropping a note.
omg so concise and perfect!!!
thank yout so much
good working ... thank you
Thanks for the lecture. But I thought this was supposed to be a right-tailed test because the alternative hypothesis says that the mean is Greater than 23
Better than my Math teacher
Superb lecture with beautiful voice
This was so helpful. Thank you so much!
An observation was made that in a certain city children were underfed. As evidence, all 25 boys in the city of that age were weighed and found to have a mean X of 80.94 lb and a standard deviation (s) of 11.60 lb. Boys of a certain age have a mean weight of 85 lb. a. State clearly the null and alternative hypothesis and choice of test size. b. Do these findings indicate that children in the city are underfed? c. What do type I error and II error mean in this situation?
Use AI like chapt GPT next time and check for calculation errors.
a. H0: μ = 85
H1: μ < 85 , indicating underfeeding.
b. To determine whether the findings indicate underfeeding, we can perform a one-sample t-test. The test statistic is calculated as:
t = (X̅ - μ) / (s / sqrt(n)) =
t = (80.94 - 85) / (11.60 / sqrt(25)) = -1.75
Using a t-distribution table with 24 degrees of freedom (n-1), we find the critical t-value for a one-tailed test with a significance level of 0.05 is -1.711. Since the calculated t-value of -1.75 is less than the critical t-value of -1.711, we reject the null hypothesis.
Therefore, we have sufficient evidence to conclude that children in the city are underfed based on the given sample data.
c. A Type I error would occur if we concluded that the children in the city are underfed based on the sample data but in reality, they are not underfed.
A Type II error would occur if we failed to conclude that the children in the city are underfed based on the sample data, but they were actually underfed.
This guy is cool... best explainations.. PNG
My pleasure, Richard.
thanks for your help, it's so clear
You're welcome, Zora.
Amazing, Thank You
You're welcome, Mussab.
This is so clear, thank you!
Thank you soo much!
u r best......... from other vedios i have seen......
This is very useful ,thank you so much
you make it easier for me, thank you 😁
Simply The Best Boss
Glad you like it Mr N.I
Great explanation! Thank you.
thanks bro .. great video ..
Where is the 0.5 coming from ??
very useful. thanx so much
Thanks I was confused at first but now I get it, I can't stand text books.
Thanks🎉