Test of Significance of Single Proportion | Hypothesis Testing | Z test | Large sample |
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- Опубліковано 17 вер 2024
- In this video we will learn test of significance of single proportion for large sample when sample size is greater than or equal to 30.
test of significance of single proportion z test
#hypothesistesting #proportion
After watching full video you will learn
1. What is sampling of attributes.
2. what is test of significance of single proportion?
2. how to understand questions related to z test for single proportion
3. how to decide whether test is one tailed or two tailed
4. how to accept or reject null hypothesis.
we have givrn a method and solved numericals on above topic,
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Big thanks from Nepal. Your contents are really awesome. Please keep posting more videos related to statistics. My college teacher is so bad at teaching this, due to which I had lost interest on this subject but from your videos, I think stat is not as hard as I thought. Thankyou so much again. Your channel will surely become popular one day. Best wishes !
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Thank you sir for being a part of my academics
Thank You sir. This subject terrifying for me. I learned a lot from this lecture.
Greetings from Bangladesh
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Sir your way of explaining is really very interesting.Thank you so much sir 🙏.. Thank you so much sir for the explanation of little things which are confused at every time to students..
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Thank you so much sir. Your lectures are very helpful.🙏🏻
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sir your teaching is fabulous . you have explained the concepts very well, which has made my basics strong. thank u very much sir
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why we use the power of Q is 1-x?
but in the binomial distribution we use the power of Q is n-x
it is Q^(n-x) not Q = n-x..... Q = 1 - P not 1-x
Thank you so much sir for such quality content. Your way of teaching is very easy to understand. Your videos are helping me a lot.
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thanks sir , you are life saviour
thank you sir for the quality content.
Sir at 26.47 seconds there is a mistake, answer of Standard error of p is 0.008
And your explaination was very nice for us... Thank you sir
Sir, your way of teaching is very nice. Thank you for these videos. You saved my one unit in exam.
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sir don't you think there's an error in calculation @26:30 z=0.25 and not 2.5
S.E. is 0.008(not 0.08) so Z= 2.5
@@chhaya000 wow i got reply after a semester 😂😂😂😂
@@lokeshmishra3179 lol man
Just Loving the CONTENT ! god bless you GUY.
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sir, please suggest some good book on staistics.
Thank you for this outstanding lecture.
thanks a lot sir this video is very helpful for me
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In 1st que there are calculation mistakes....
But u explained the concept very well💯
Love from kashmir , outstanding lecture . ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️
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Provide Video for central limit theorem!
Omg
Kitna acha pdhate h aap sir...
Dheko kl hi apni teacher ko challenge krta hu .
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Awsome❤❤
Plz sir make videos about Statistical inference MSc level
How to use Markov chain in life to prediction
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Thank u sir
Thank you so much sir
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in a hospital 475 female and 525 male babies were born in a week. do these figure confirm the hypothesis that males and females are born in equal number
Sir kya aap bata skte hain ki isme ham X kisko consider krenge
Bhai pta chla kya ki X kisko lete h
X =526 than p=x/n=526/475
EXCELLENT EXPLAINATION SIR
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Bhag Mulle
Love from pakistan 🇵🇰
Very helpful video
Testing of Hypothesis: ua-cam.com/play/PLRNL7AjA6rjy_ryWXKMil8CjtLQjUiy0I.html
Sir, i have a doubt. in case of left tailed test, Z(alpha) is negative.. and while comparison we always take |Z| which is positive. means |Z| will always be greater than Z(alpha) leading to out null hypothesis always wrong. What to do in that case. I have been following your statistics series from the start. and I forgot to text this on your previous video so I am doing in this one. please clarify this
Z is standard Normal Variate and it is symmetric, so no effect on result
Thanks sir
Welcome keep watching
@@GouravManjrekar plz make video about negative binomial distribution
1)Sir small p or small q
2)And large P or large Q me difference kiya hai?
And sir one more question sir have you taught test of significance for large samples where z = x-np/√npq ??? If you have then pls share the link
Please make for difference of proportion
Will upload soon in process
Q-2 How the population proportion of female became 3/5+3 = 0.375.
Didn't get it. ?
Kindly help me out.🙏
Proportion is 5:3 males:females
that is if there are 5 males , there will be 3 females
if there are 5x males, there will be 3x females
Total number of people will be
5x+3x = 8x
Now, we want to find the proportion that is the % of females, therefore it will be number of females / total number of people
= 3x/5x+3x =
3x/8x = 3/8 = 0.375
3 out of the total(5+3) 8 are females. so the % of females is 3/n * 100
@@HamKan thanku so much i got it 😊😊
Or sir p=P mean as you sad p is unbiased Estimate of capital P so we can say p=P always ?
Sir how can I find whether the alternate is 2 tailed or one tailed in question itself...? I saw your all videos can you please please tell me in simple words or a trick
Check below video it is here
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STUDENT T DISTRIBUTION AND TEST: ua-cam.com/play/PLRNL7AjA6rjx40R-Y-hIEVawQXxbeUgiD.html
Sir when population perportion in not given then we use √pq/n but z= p-P/SD e me P ki value kya hogi
Sir iss type ke questions mai kab kon sa distribution test(chi square, t ,F ,Z test) apply karna hota hai kaise pata chalega
How to understand that the question is a type from single proportion test?
Sir where u have discussed ki square test and f test?
Chi Square Distribution and Chi Square Test: ua-cam.com/play/PLRNL7AjA6rjxVTlKSB4TNFY8y5qKF-mQa.html
F distribution and F test: ua-cam.com/play/PLRNL7AjA6rjxxw1NGDKnaXJ-lTd-cDNQ-.html
Sir plzzz mean ,mode,moments ko solve krne k assorted questions SC Gupta Nd VK Kapoor sir wali books ke krado plZz sir.
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Moments, Skewness and Kurtosis in Statistics: ua-cam.com/play/PLRNL7AjA6rjx0L7i1QRCJXNhdujE0mkDr.html
Central Tendency (or Average) in Statistics: ua-cam.com/play/PLRNL7AjA6rjwEv8-BBBqXKXLqSp6PzJM8.html
Measure of Dispersion in Statistics: ua-cam.com/play/PLRNL7AjA6rjwrI_WNw3FKVYzN4IHDOz5e.html
sir could you tell me why we use right tail test in the first question instead of two tail test
Same doubt... no. Of defective apples could have lesser than 4 percent
Relax gaayss wo wha par 0.008 h koi naa aage bado jisse divide kiya h
sir in 1st video u said that we use left tailed test to test for claim but here you used right tailed in Q1 why?? i have watched all vid still cant understand that plz clear this doubt
See at 23.32. Because wholesaler is claiming that not more than 4% apple are defective. ( since his claim says that 4% or less are defective )
So our alternative Hypothesis will be more than 4%.
Hope this will help
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Sir how Male and female ratio Ratio 5:3 population prportion 3/5+3 how?
in question 1 SE(p)=0.008 hoga sir
aapne SE(p)=0.08 bataya hai
Sir why havent we taken the alternative hypothesis over here as P=/=0.04 (Two tailed test)
Note: I saw your first video but still couldnt understand this
See at 23.32. Because wholesaler is claiming that not more than 4% apple are defective. ( since his claim says that 4% or less are defective )
So our alternative Hypothesis will be more than 4%.
Hope this will help
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@@GouravManjrekar ok thanks sir
sir if P is not known what will be the formula of test statistic?
bhai ye wahi insan hai....upar toh alag dikhra tha
Behen sab mein hi hu 😄
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Hypothesis Testing , Sampling Distribution and Estimation Theory: ua-cam.com/play/PLRNL7AjA6rjy_OuyGPC5rmqOUUgGfq_fw.html
Can someone pls explain when to take the greater than sign plss I'm a little bit confused in this video first question we took > this sign why can someone explain plss my exams are coming soon
Exercise 38 solution
the only reason I am watching you is because you are left handed
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29:48
All the questions that you have solved in your vedios are only of rejection , there are no questions for acceptance!!
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sir 1 no question ka answer to 0.25 ata hain upko 2.5 kaise aya?
Kashmiri kudyandi matlb nhi khud hi solve karvo
0.06-0.04/0.08 should be 0.25 and I can surely say that all of them watching this video were sleeping
That's a minor mistake uh can rectify it urself......
@@seeeverything...2588 are you mad or what. If cal Z = 0.25 than it is smaller than tabulated value of Z
Hence, Null Hypothesis is accepted and not rejected
@@HamKan wo sir ne btaya h already...us pr focus kro
@@seeeverything...2588 what?
@@HamKan sorry i can't argue with uh....🙄
Ist question mein right tail test hiii kyun use kiya hai
See at 23.32. Because wholesaler is claiming that not more than 4% apple are defective. ( since his claim says that 4% or less are defective )
So our alternative Hypothesis will be more than 4%.
Hope this will help
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Sir, in ist vedio you tell us that when validity of claim comes we use left tailed test, but in ist problem here claim exist but you use right tailed test, sir i am very confused, please help🙏🙏
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Same
same question arises in my mind in 1st ques we testing the validity or a claim and sir use here right tailed test how that possible? can anyone explain
1st qu me z = 0.25 aa rha hai
Yes i also write here but i watch sir z calculated0.25 is less than tabulated 1.645 we reject H0
Denominator is 0.008 so answer is 2.5
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Inna easy karne k baad bhi aap Samajh nahi pao toh aap parna chod do🤣
Can someone pls explain when to take the greater than sign plss I'm a little bit confused in this video first question we took > this sign why can someone explain plss my exams are coming soon
Can someone pls explain when to take the greater than sign plss I'm a little bit confused in this video first question we took > this sign why can someone explain plss my exams are coming soon
Can someone pls explain when to take the greater than sign plss I'm a little bit confused in this video first question we took > this sign why can someone explain plss my exams are coming soon
same ques did you got the answer??
Can someone pls explain when to take the greater than sign plss I'm a little bit confused in this video first question we took > this sign why can someone explain plss my exams are coming soon
See at 23.32. Because wholesaler is claiming that not more than 4% apple are defective. ( since his claim says that 4% or less are defective )
So our alternative Hypothesis will be more than 4%.
Hope this will help
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Subscribe our channel for more videos.