Very effective..🙏🙏🙏🙏....... mere hisap se bohut sare teachers ko apse sikhne ki jarurat hain....sirf salary khata.hain govt ka..pohate kuch bhi nahi😡😡😡😡😡
In the last question i believe h1 should not be accepted either its because that test is exceptional and we have to take the negative z value in account we cant use modulus. And therefore the answer should be tubes have lower lifetime than 1600 hrs
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If test is 2 tailed divide 0.95/2 if 0.05 is significance level You get 0.4750 Now find 0.4750 in Z table and see intersection in row and column you will get Z. Hope this will help
It was really very helpful sir i already watched 10 videos before watching this but didnt undeestand anything but after watching your video my concepts are clear now
It was very helpful video for us. This types of quality content of statistics not present in whole you tube.. Please Sir make more videos on statistics at graduation level. Thank you so much 🎉
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Sir I have just one request from you Please🙏upload videos on types of sampling like simple random sampling , stratified random sampling etc It will be very helpful for us ☺️
Hi Gaurav, thank you so much for this video. One thing is not clear- in the second example we found the |Z| = 4, so it is falling on the right side rejection area. For this we rejected the null hypothesis but the alternate hypothesis which claims about average life time greater than 1600 hours should also be rejected. This is because the probability of 1600 hours itself is very small, any value greater than 1600 will have far smaller probability. In the curve it will be further right in the rejection area. I think either both of the hypothesis should be rejected or the alternate hypothesis should say - average of population is less than 1600 hours. Please clarify.
Because in standard normal table ( Z table) Negative value define area on left side of mean and positive value define area right side of mean. Standard Normal curve is symmetrical about mean. So value Z= -4 define area is on left side of mean and same area lies on right side of mean. Please check video of Normal Distribution of mine in Probability playlist. Hope it will help you
@@GouravManjrekar Thanks for your lecture which explains things in simplified way. Regarding second problem what Sachin is saying is also logical. Suppose we consider H1= mean life of bulb is < 1600, then also we have to accept. What stopping us not to consider the H1=mean life of bulb is < 1600?
Sir if we are rejecting NULL hypothesis then there should not be any diff. Between population parameter And sample statistics So why you said there is diff. Due to sample fluctuation ???
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Sir your video is very helpful. Thank you so much sir. Sir aap kon sa is topic ke liye prefer kr rahe hai Mera econometrics ka paper hai isliye mai puche. Aap please book ka name bata dijye sir. Please give me reply soon.
sir, if calculated z is -4, it means that it falls in left side rejection region i.e. the alternate hypothesis x̄ < μ is correct.. but the question is asking alternate hypothesis x̄ > μ...so what is the solution?
Because in standard normal table ( Z table) Negative value define area on left side of mean and positive value define area right side of mean. Standard Normal curve is symmetrical about mean. So value Z= -4 define area is on left side of mean and same area lies on right side of mean. Please check video of Normal Distribution of mine in Probability playlist. Hope it will help you
@@GouravManjrekar sir i have a doubt normal curve k ander area symmetric jarur hota h 0 to -1 tak area aur 0 to +1 tak ka area alag hoga... Aur second question right tailed test hai iska mtlb agr critical value +2 hai to 0 se +2 tak ka poora area acceptance region hoga jisme - vaali side bhi aa jayenge...sir please explain thank you
Sir ek question tha ki presise and acuracy se related jab apn inhe solve krte h to mean ka konsa formula laghta hai like question ye h ki true value ko hai wo 3 hai Ramesh 2.80 / 3 Suresh 2.91 / 2.90 Rohit 3.01 / 2.99 Rakesh 2.90 / 3.10 Sir issme mean nikalna ho to kaunsa formula lagega presise acuracy sir pls reply
sir huge respect just wanted to know want to solve a lot of questions regarding prob and statistics like this regarding confidence level hypothesis mean variance which book would be best as for operational management pls guide sir thnqu
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Thank you Sir!! Your lecture helped me a lot... just one doubt how to calculate critical value here...do we have to look into the tables given in appendix?
@@GouravManjrekar thank you for replying Sir! I looked for the value in normal distribution table taking |z| = 2.5 and level of significance = 0.05….but my critical value didn’t match with yours…please elaborate how to find that only this point is still not clear
2nd question per sample kaa sd alag nikalna nahi padega sir?? Yeise toh ek hi tarika huwa dono questions pey.. 2nd question pey toh humhe sample kaa sd chahiye na?
I have a confusion, in last question if the testing is done for left tail test where we need to test if bulb produced by company is less than 1600hors at 1% LOS then for that also will get Z value lies in the region where , bulb produced by company is less than 1600.
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Just one question, in case of a left tailed test, if mod z is greater than critical z shall we also reject the null hypothesis?and Thanks a lot for the lectures sir!
i couldn't understand one thing that sample mean is 1570 population mean 1600 n we have to prove population mean is greater than 1600 where sample mean we are getting 1570 ... is there not any contradictory????
sir, ye question samajh nai aa raha: Individual filing of income tax returns prior to 30 June had an average refund of Rs 1200. Consider the population of "last minute" filers who file their returns during the last week of June. For a random sample of 400 individuals who filed a return between 25 and 30 June, the sample mean refund was Rs 1054 and the sample standard deviation was Rs 1600. Using 5 % LOS, test the belief that the individuals who wait until the last week of June to file their returns to get a higher refund than early the filers?
00:03 Testing hypothesis of single mean for large sample with z test 02:10 Hypothesis testing for large sample mean using z-test 04:33 Hypothesis testing for level of significance and critical values. 07:09 Hypothesis testing of single mean for large sample using z test 10:06 The z-test statistic and critical values for hypothesis testing. 12:58 Hypothesis testing using z-test and critical value 15:40 Testing hypothesis for mean lifetime of bird produced by the company 18:18 Hypothesis testing using z-test for single mean with large sample 20:52 Understanding critical values and significance levels in hypothesis testing. 23:38 Hypothesis testing for large sample z test Crafted by Merlin AI.
1500 women went on high calorie diet for a month. A random sample of 29 women gained an average weight of 6.7 kg. Calculate the Z value to test the hypothesis that the average weight gain per women for the month was over 5 kg. The standard deviation of the group is 7.1. Solution plzz
Thank you so much sir for this crystal clear explanation. But ye agar left tailed test ke liye bolta ( for the same sample statistics and population parameters ) to tabhi v null hypothesis reject hota. N we would conclude that the mean lifetime of the bulbs ( for population ) is less than 1600hrs. M i right sir?
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Sir second question me right tailed test lga h phir bhi mod z kyu use hua.. Two tailed test me mod z use hota kyuki.. Rejection region dono taraf hota h, ye one tailed test h to rejection region bhi ek hi taraf hoga ... Aur iss hisaab se decision bhi not rejected honi chahiye... Agr mod le lenge tb to koi bhi data jo zero k left me test statistics degi sab ko pakad k right me le aaya jayega sir please explain aisa kyu ho rha....
Because in standard normal table ( Z table) Negative value define area on left side of mean and positive value define area right side of mean. Standard Normal curve is symmetrical about mean. So value Z= -4 define area is on left side of mean and same area lies on right side of mean. Please check video of Normal Distribution of mine in Probability playlist. Hope it will help you... Keep watching
Because in standard normal table ( Z table) Negative value define area on left side of mean and positive value define area right side of mean. Standard Normal curve is symmetrical about mean. So value Z= -4 define area is on left side of mean and same area lies on right side of mean. Please check video of Normal Distribution of mine in Probability playlist. Hope it will help you... Keep watching
Sir humare clg me or math ki test book me unknown ka formule me niche n-1 h or appne srif n hi rakha h to ans ekdum alag aa rha but decison rejected hi h but ans alag h ab ye confusion ho rha h ki niche (n-1) Dale ki srif aapke tarah (n ) hi rakhe
why we write positive number in modulas when answer was in negative and if the z calculated value was in positive then shall we write z modulas in positive please helpe me
Because in standard normal table ( Z table) Negative value define area on left side of mean and positive value define area right side of mean. Standard Normal curve is symmetrical about mean. So value Z= -4 define area is on left side of mean and same area lies on right side of mean. Please check video of Normal Distribution of mine in Probability playlist. Hope it will help you... Keep watching
Hi i have a doubt , if we do a left tailed test, then Z(alpha) is always negative and modZ is always positive, so in left tailed test , is the hypothesis always rejected
Because in standard normal table ( Z table) Negative value define area on left side of mean and positive value define area right side of mean. Standard Normal curve is symmetrical about mean. So value Z= -4 define area is on left side of mean and same area lies on right side of mean. Please check video of Normal Distribution of mine in Probability playlist. Hope it will help you... Keep watching
सर आपके पढ़ाने का तरीका बहुत ही अच्छा लगा, इससे releted सारे concept clear हो गया.. बहुत बहुत धन्यवाद सर
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th-cam.com/video/qYnCPOK7Ki4/w-d-xo.html type 1 and type 2 error
@@GouravManjrekar sir ye kaise pahchene ki null hypothesis hai ya alternative hypothesis
@@GouravManjrekar 1% = 0.01 but you use 0.001 Please Explain.
Mery 23 ko papers hain .. ye topics bhut zrurt hain .. Thanks God now all concepts cleared😍
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In the last question i believe h1 should not be accepted either its because that test is exceptional and we have to take the negative z value in account we cant use modulus. And therefore the answer should be tubes have lower lifetime than 1600 hrs
Thank you so much sir.
Wish everyone meet a teacher like you.
Love from nepal❤️
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Sir konsa book refer kar rahe hai iss video mai??
Bata sakte ho
i am a bangladeshi stuent.I attend all classes of my college proffessor but i understand NULL...Now just mazzza ayya
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If test is 2 tailed divide 0.95/2 if 0.05 is significance level
You get 0.4750
Now find 0.4750 in Z table and see intersection in row and column you will get Z.
Hope this will help
Very effective video 😘Thank you so much sir 🙏
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Thank you so much sir.. Couldn't expect how such a complex topic explained as much easily..!!!
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It was really very helpful sir i already watched 10 videos before watching this but didnt undeestand anything but after watching your video my concepts are clear now
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It was very helpful video for us.
This types of quality content of statistics not present in whole you tube..
Please Sir make more videos on statistics at graduation level.
Thank you so much 🎉
Sir bhut hi achaa pdhate ho ap...apke videos dekh k chapter samjh aaya
Thank you ....
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bade hi pyaare shabdo mein statistical hypothesis complete kara diya gaya hai
Hello sir...I m very thankful to u I was not able to understand anything properly but your videos helped me a lot.... thank you very much🙏
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Thank you so much sir. Had Missed this lecture in college. Thanks
Hello Sir Thankyou for providing this beautiful lecture. Love from Raipur ( Chhattisgarh )❤❤❤❤
very very gud. Gourav better then many iit prof
Thank you
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can u suggest ur video on capability six pack. Stuck in it
Sir I have just one request from you
Please🙏upload videos on types of sampling like simple random sampling , stratified random sampling etc
It will be very helpful for us ☺️
Hi Gaurav, thank you so much for this video. One thing is not clear- in the second example we found the |Z| = 4, so it is falling on the right side rejection area. For this we rejected the null hypothesis but the alternate hypothesis which claims about average life time greater than 1600 hours should also be rejected. This is because the probability of 1600 hours itself is very small, any value greater than 1600 will have far smaller probability. In the curve it will be further right in the rejection area. I think either both of the hypothesis should be rejected or the alternate hypothesis should say - average of population is less than 1600 hours. Please clarify.
Because in standard normal table ( Z table)
Negative value define area on left side of mean and positive value define area right side of mean.
Standard Normal curve is symmetrical about mean.
So value Z= -4 define area is on left side of mean and same area lies on right side of mean.
Please check video of Normal Distribution of mine in Probability playlist.
Hope it will help you
@@GouravManjrekar Thanks for your lecture which explains things in simplified way. Regarding second problem what Sachin is saying is also logical. Suppose we consider H1= mean life of bulb is < 1600, then also we have to accept. What stopping us not to consider the H1=mean life of bulb is < 1600?
@@GouravManjrekar Sir the video of normal distribution is unavailable so could you please provide with its link again?
@@dhruvagarwal7799 th-cam.com/video/oVovZBegUwA/w-d-xo.html
Its really awesome and most useful to understand various concepts,thank you so much sir .
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Sir konsa book refer kar rahe hai iss video mai???
Sir if we are rejecting NULL hypothesis then there should not be any diff. Between population parameter And sample statistics
So why you said there is diff. Due to sample fluctuation ???
Thanks a lot sir my statistics paper cleared ❤️🙏
Really Nice Explanation 🙌💯
Massive respect sir
Ur Way Of making Us Understand is 😘😘
Lov From Kashmir❤️❤️
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Thankyou so much sir from the depth of my heart🙏🙏🙏🙏🙏🙏🙏
Sir aapne math ke sloution ending main diagram draw karata boh draw karna zaroori hain??
Very helpful sir, thank you so much, God bless you
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Thnkww sooo much sir.....for explaining this topic😊
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sir, which book should be preferred for hypothesis testing chapter ?
welldone sir Allah apko khush rakhe
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Concept is clearly understood .... Thankyou sir 😊
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Student t distribution and when to use t test and z test
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@@GouravManjrekar god bless you 😂 app to sir pigal gaye.. Ye nai chalega sir.. Ladke ko bhi bolo.. 😂😂 .. Man me laddu futa..
It's really very wonderful and clear explanation kuch aur v example share kijie na sir
Excellent, easy to understand
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Sir your video is very helpful.
Thank you so much sir.
Sir aap kon sa is topic ke liye prefer kr rahe hai
Mera econometrics ka paper hai isliye mai puche.
Aap please book ka name bata dijye sir.
Please give me reply soon.
sir, if calculated z is -4, it means that it falls in left side rejection region i.e. the alternate hypothesis x̄ < μ is correct.. but the question is asking alternate hypothesis x̄ > μ...so what is the solution?
Because in standard normal table ( Z table)
Negative value define area on left side of mean and positive value define area right side of mean.
Standard Normal curve is symmetrical about mean.
So value Z= -4 define area is on left side of mean and same area lies on right side of mean.
Please check video of Normal Distribution of mine in Probability playlist.
Hope it will help you
@@GouravManjrekar sir i have a doubt normal curve k ander area symmetric jarur hota h 0 to -1 tak area aur 0 to +1 tak ka area alag hoga... Aur second question right tailed test hai iska mtlb agr critical value +2 hai to 0 se +2 tak ka poora area acceptance region hoga jisme - vaali side bhi aa jayenge...sir please explain thank you
@@Krishnayadav_04 you are taking whole cumulative area and here in video we are not taking curative area.
Different book uses different concept
thank you sir. may god bless you always.
Sir ek question tha ki presise and acuracy se related jab apn inhe solve krte h to mean ka konsa formula laghta hai like question ye h ki true value ko hai wo 3 hai
Ramesh 2.80 / 3
Suresh 2.91 / 2.90
Rohit 3.01 / 2.99
Rakesh 2.90 / 3.10
Sir issme mean nikalna ho to kaunsa formula lagega presise acuracy sir pls reply
Sir, You are just awesome. U should just teach at IIM's and students will love you.
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Very informative video 👍👍
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Great video sir👍🙏🏼
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Great explanation. Thanks a lot
You are welcome!
Thanks man! you made mmy life easier
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sir huge respect just wanted to know want to solve a lot of questions regarding prob and statistics like this regarding confidence level hypothesis mean variance which book would be best as for operational management pls guide sir thnqu
Thanks a lot sir 👌👌 your explation is so good❤️
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Thank you Sir!! Your lecture helped me a lot...
just one doubt how to calculate critical value here...do we have to look into the tables given in appendix?
Yes, definitely
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@@GouravManjrekar thank you for replying Sir!
I looked for the value in normal distribution table taking |z| = 2.5 and level of significance = 0.05….but my critical value didn’t match with yours…please elaborate how to find that only this point is still not clear
You are great sir !!
2nd question per sample kaa sd alag nikalna nahi padega sir??
Yeise toh ek hi tarika huwa dono questions pey..
2nd question pey toh humhe sample kaa sd chahiye na?
Sir thode aur complex z test questions ka video banaiye.. jisme sample continuous series mein diya hua ho
Sir konsa book refer kar rahe hai iss video mai?? Koi bata sakta hai
Very nice explanation sir thanks 😊
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Thanks sir for deep explanation😊
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Please make video over Post Hoc test
I have a confusion, in last question if the testing is done for left tail test where we need to test if bulb produced by company is less than 1600hors at 1% LOS then for that also will get Z value lies in the region where , bulb produced by company is less than 1600.
Sir why the negative value changed to positive z-4 to z mode 4 why we changed it to positive???
best video for z test
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Sir critical values z test m jo table apne banaya Hai wo sari values yad rakhni pare gi? Ya unka koi method Hai k ham unhe find out kr skte hai?
Please sir
Z-test pr ek vedio bana dijiye seperately please
Good morning sir in frst qtn we're given standard deviation , then why did we find standard error, we're put the given value only
You explain nicely
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sir which book u r following ?
can say the name so to practice more qs
Sir iss type ke questions mai kab kon sa distribution test(chi square, t ,F ,Z test) apply karna hota hai kaise pata chalega
hello.....please let us download few videos for further use
Just one question, in case of a left tailed test, if mod z is greater than critical z shall we also reject the null hypothesis?and Thanks a lot for the lectures sir!
Yes
i couldn't understand one thing that sample mean is 1570 population mean 1600 n we have to prove population mean is greater than 1600 where sample mean we are getting 1570 ... is there not any contradictory????
Thank uu soo much sir💞💞
Sir at 11:30 bodmass rule se 401/2 aayega
A zillion thanks to u sir!
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Sir the normal distribution graph will be the last step or first step
Do as in numerical last
Sir.. When we use P -value.. And what is This??
sir, ye question samajh nai aa raha: Individual filing of income tax returns prior to 30 June had an average refund of Rs 1200. Consider the population of "last minute" filers who file their returns during the last week of June. For a random sample of 400 individuals who filed a return between 25 and 30 June, the sample mean refund was Rs 1054 and the sample standard deviation was Rs 1600. Using 5 % LOS, test the belief that the individuals who wait until the last week of June to file their returns to get a higher refund than early the filers?
00:03 Testing hypothesis of single mean for large sample with z test
02:10 Hypothesis testing for large sample mean using z-test
04:33 Hypothesis testing for level of significance and critical values.
07:09 Hypothesis testing of single mean for large sample using z test
10:06 The z-test statistic and critical values for hypothesis testing.
12:58 Hypothesis testing using z-test and critical value
15:40 Testing hypothesis for mean lifetime of bird produced by the company
18:18 Hypothesis testing using z-test for single mean with large sample
20:52 Understanding critical values and significance levels in hypothesis testing.
23:38 Hypothesis testing for large sample z test
Crafted by Merlin AI.
1500 women went on high calorie diet for a month. A random sample of 29
women gained an average weight of 6.7 kg. Calculate the Z value to test the hypothesis
that the average weight gain per women for the month was over 5 kg. The standard
deviation of the group is 7.1.
Solution plzz
sir how did we know that population S.D is unknown in example 2?
Thank you so much sir for this crystal clear explanation. But ye agar left tailed test ke liye bolta ( for the same sample statistics and population parameters ) to tabhi v null hypothesis reject hota. N we would conclude that the mean lifetime of the bulbs ( for population ) is less than 1600hrs. M i right sir?
Sir unit 2 categorical analysis video to banai diok
How did you find the values in critical value table?
See video there is we have made a table and describe it what it is.
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@@GouravManjrekar thanks
Thank you sir U saved me :)
You are most welcome
Thanks a lot sir
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Thank You so much SIR 😊
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Excellent Sir. please arrange some classes on Survival Analysis
Sir second question me right tailed test lga h phir bhi mod z kyu use hua.. Two tailed test me mod z use hota kyuki.. Rejection region dono taraf hota h, ye one tailed test h to rejection region bhi ek hi taraf hoga ... Aur iss hisaab se decision bhi not rejected honi chahiye... Agr mod le lenge tb to koi bhi data jo zero k left me test statistics degi sab ko pakad k right me le aaya jayega sir please explain aisa kyu ho rha....
Because in standard normal table ( Z table)
Negative value define area on left side of mean and positive value define area right side of mean.
Standard Normal curve is symmetrical about mean.
So value Z= -4 define area is on left side of mean and same area lies on right side of mean.
Please check video of Normal Distribution of mine in Probability playlist.
Hope it will help you...
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Sir can z test is applicable for pre and post test
Thank you so much Sir.
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Sir our teacher told us not to take mod value in cases of one tailed tests. Can you please explain why you are using mod in one tailed tests?
Because in standard normal table ( Z table)
Negative value define area on left side of mean and positive value define area right side of mean.
Standard Normal curve is symmetrical about mean.
So value Z= -4 define area is on left side of mean and same area lies on right side of mean.
Please check video of Normal Distribution of mine in Probability playlist.
Hope it will help you...
Keep watching
@@GouravManjrekar But in this we will always reject a null hypothesis even when its true
Thank you sir 🤗❤️
Thanks sir
Type 1 and type 2 error nahi h kya...
th-cam.com/video/qYnCPOK7Ki4/w-d-xo.html type 1 and type 2 error
Thanks sir for this video
Most welcome
Sir can you write the symbols as to what symbol denotes what?
Sir humare clg me or math ki test book me unknown ka formule me niche n-1 h or appne srif n hi rakha h to ans ekdum alag aa rha but decison rejected hi h but ans alag h ab ye confusion ho rha h ki niche (n-1) Dale ki srif aapke tarah (n ) hi rakhe
Put ' n '
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sir can you please explain how did you get the values in the critical table??
Standard normal table and you can find it in any statistics book.
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How will we get to know that whether it is two - tailed test or one - tailed test??
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Thank you sir🙏
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STUDENT T DISTRIBUTION AND TEST: th-cam.com/play/PLRNL7AjA6rjx40R-Y-hIEVawQXxbeUgiD.html
why we write positive number in modulas when answer was in negative and if the z calculated value was in positive then shall we write z modulas in positive please helpe me
Because in standard normal table ( Z table)
Negative value define area on left side of mean and positive value define area right side of mean.
Standard Normal curve is symmetrical about mean.
So value Z= -4 define area is on left side of mean and same area lies on right side of mean.
Please check video of Normal Distribution of mine in Probability playlist.
Hope it will help you...
Keep watching
@@GouravManjrekar thank yu sir yoyur video is helpin a lot ..Love from Nepal
If degree of freedom is n-1 ie 14-1 is 13 then at 5 % sig is 1.96 but in book it is showing 1.771 how it is calculated plz slove
Bro sample size is greater than 30 so we can't use degree of freedom here if sample size is less than 30 so we can use degree of freedom.
Bro sample size is greater than 30 so we can't use degree of freedom here if sample size is less than 30 so we can use degree of freedom.
Sir how to determine value of alpha , if alpha is not given in the question?
By default you can take alpha =0.05.
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Thank you sir!
Sir, sample means and population means Ka difference keya hai
Please Sir tell the name of the book you are using.
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Using 3 to 4 different books
Hi i have a doubt , if we do a left tailed test, then Z(alpha) is always negative and modZ is always positive, so in left tailed test , is the hypothesis always rejected
Because in standard normal table ( Z table)
Negative value define area on left side of mean and positive value define area right side of mean.
Standard Normal curve is symmetrical about mean.
So value Z= -4 define area is on left side of mean and same area lies on right side of mean.
Please check video of Normal Distribution of mine in Probability playlist.
Hope it will help you...
Keep watching
Thank you sir
Keep watching
Share our video with your friends also 😊
STUDENT T DISTRIBUTION AND TEST: th-cam.com/play/PLRNL7AjA6rjx40R-Y-hIEVawQXxbeUgiD.html