Hypothesis Testing 03: Example 1
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- čas přidán 19. 09. 2013
- As many in the description noted, I could have used a TWO-TAILED distribution and not a one-tailed one. So tricky!! But sometimes you don't have a two-tailed distribution z-table and you need to make do with the one-tailed one. That's why we divided 5% by two and got 2.5% on either end. That puts 95% in the center.
Like if you're studying for final and on the verge of tears like me
The whole afternoon trying to make sense of this and you solve everything in 10 minutes. Thanks!
I almost cried when I watch this, I don't get how my professor explains coz he's just reading the book. I finally know how to create critical region T^T I almost cried because I can't move on with the problem without it. Thank you very much.
Wow, thanks!!
+Rahul Patwari (Rahul's EM) you are doing a great service. i tutor on the side and am horrified at the quality of teaching students are getting; i refer my students to great videos all the time
thank you so much for putting it so concise and clear!! I really like the way you have explained.
Thanks much Rahul.I really understood this concept only after seeing your video with an example, having been out of touch with Math for the last 20 years.Thanks a lot.
THANK YOU SO MUCH! May god bless you. so fun to wacth your tutorial.
You made this so easy to understand. thanks.
thank you! you made difficult things become easy!
Thank you so much for sharing such a great explanation!
Very very very helpful, thank you for the explanation
thanks you saved my life, got a test tmr
Thanks. Very useful overview
Thank you, simply simple.
That was awesome! could you do one with binominal distribution?
beautiful explanation, tysm!
thank you it was amazing, very clear and fun :D
thanks but i afraid if i cannot determine the data.. can u help me.
thank you but could you tell me how you got p-value?
This was so helpful, thanks!
what are the specific steps to calculate the problem with a calculator? Thanks
thanks a lot! you really explain it well :)
Mr. Rahul Patwari,
Thank you very much for presenting a beautiful, descriptive and clear to understand the subject to any one with little or basic of statistic, myself, and it is so clear. I have taken several classes on this very subject even in my Green Belt program, nothing was clear like this as you demonstrated. Your talent in demonstration is very much appreciated.
I have few questions for you. I have noticed demonstrations in CZcams and the points of discussion were or are mostly related to, age, height, rainfall, earthquake, drugs etc. Is this applicable in the real engineering field like, Design engineering, manufacturing and so on. I am encountering with the issues without any data, can I use this approach to prove the worthiness (quality) of the final product and how?
This is what I got from Google search: "A statistical hypothesis is an assumption about a population parameter. This assumption may or may not be true. Hypothesis testing refers to the formal procedures used by statisticians to accept or reject statistical hypotheses". Is it true?
Thank you in advance.
Bob Matthew
Super helpful thank you!
thank you for that wounderful presentaion and can i indly have the link to the P value lectures only
please help I am done with dis part, am moving to uniformly most powerful test and that is where I got serious problems
with the normal distribution, do we always construct a confidence interval? When do we construct a CI with hypothesis testing?
I hope someone can help me with this. I cant understand what my lecturer had been teaching and I really need help.
30 women hv anemia in pregnancy & 15 of them hv history of malaria. 90 hv normal hb lvl pregnancy & 20 of them hv history of malaria
a) state the research hypothesis and null hypothesis
b) draw contigency table and suggest a statistical test for testing the null hypothesis. calculate degree of freedom
c) carry out your proposed test and comment whether rejecting or not rejecting the hypothesis at a=0.05
something doesn't seem right to me regarding the very last part of the 98.30%.
Isn't it representing the whole area on the left-hand side the z=2.12? I think the area of less than -2.12 and greater than 2.12 are 1.7% for each area.
Any idea guys?
great Job!
how can know the hypothesized mean
Can you clearly state the steps for identifying the claims. I have problem there
Can we assume that any z score below or above 1.96 will be rejected considering the significance level of 5%?
Thank you Rahul :-)
Thank you so much :)
learning seems easy with econometric class when I study with your tutorials. Thank you so much,.. But our teacher gave us six steps, with one having to find critical value for the test statistics, kindly elaborate that
superb
Very good video! only question is that i believe the yellow region to be equivalent to 96.6% rather than 98.3%, as the value on the table refers to a 1 tailed area. Am I wrong?
You're right. That reference is one tailed and he did 2 tailed. Though very nicely explained :D
Good catch! These 1-tail and 2-tail tables can trick you up! As it did to me.
@@rmcintegratedcurriculum6351 you are right. I was also confused till I saw your comment.
Yes right
i mean how can we know the hypothesized mean
this is very very helpfull sir
Tnx so much!
a great men...thanku
A fitness magazine claims that the mean cost of yoga session is No more than #14. Find that a random sample of 29 yoga sessions has a mean cost of 15.59 and standard dev of 2.60 at a level of significance of 2.5 do u have enough evidence to reject. So is the 2.5 the alpha?
I did not understand how we find the P value, did I missed calculation of this or isnt it explained ??
It was estimated based on Z value. Z value is -2.12. If you look at the Z table, 2.12 corresponds to 0.983 i.e 98.3%. The P-values is 1-0.983=0.017.
many thanks. :-)
great.thanks
I think you meant to tell the guy that he was not right. Since we are never really sure he is wrong or not. But great video! I am ready for the exam!
Thanks a lot for the video. I am not a statistician, so I have this question: Why do we make the assumption for the Variance to be equal to 20?
+Jose Alberto Ayala Ortiz It's not an assumption. It's observed data.
thanks
He shows it complicated just like my teacher I have seen simpler and easier to see
shouldn't we use t-statistic for small sample sizes?
exactly my question.
@@ShahidIqbal-sq7bf If you assume it is a normal distribution, then you don't have too. But you would not be wrong if you used the t-distribution.
I think you made a little mistake at the end. When you took 0.9826 for the yellow shaded area, it contains the right side of the pink area too. So you should do 0.9826-0.0174 to find the yellow area. But thank you, it was a really good video though.
good
WP
Nice accent...
thanks