Sample size determination|Cochran formula|Yamane formula| Sample size calculation| - DU Professor
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- เผยแพร่เมื่อ 25 ก.ค. 2024
- Sample size determination|Cochran formula|Yamane Formula|formula for sample size for the mean|DU Professor
This video will provide the formulas and strategies to understand how can we calculate the sample size in the most easiest way.
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the best thing in your content delivery is that you know what to deliver and how effective in a short time. Great, keep it up.
Most precise and inclusive and comprehensible video I have found so far. Thank you for sharing.
Wonderful lecture in the calculation of sample size.God Bless the lecturer
Explained with clear steps and easy to follow
Best video on sample size determination
best video mam. Thank you so much for your explanation.
very thankful for the calculation of sample size
I'm a lecturer so was looking for the best way to explain this to my students. Happy to say I found the best. Thank you Prof!
I am glad to hear that :)
Very good explanation. It reflects the researchers profound knowledge in research activities. Thanks a lot Prof.
Thank you for such an excellent review.
Thanks a lot Mam
God bless you
Best wishes from Kolkata
Simple yet an elaborate way.. 😊
Thanks for your very good job. I have doubts about the correct formula to calculate sample size in case of randomized controlled trials(RCT), because it's necessary to use a lot of sample size in the same trial. Can I use one of these formulas in the RCT or it's necessary to find out sample formulas related the ANOVA ? Thank you for all !
Superb really good 👍
very nice video. Thanks a lot.
thank you Miss. very interesting
thank you professor i am writing my methodology i liked Yamane formula and rule of thumb
thank you very much for this simple, comprehensive presentation ... very much useful
Thank you for this informative video. Can the Yamane formula be used if the sample size is small and secondary data is intended for the analysis, (let's say about 50 as total population) but due to the time and cost constraints, you do not want to use the Census i.e 100% of the population?
Nice explanation Maam. Can you provide any reference where they have specifically said that we can use the sample size according to the sample size used in the similar studies.
very nice, informative
Nice explanation..💛
very good thanks maam
Thank you so much ma'am, it's make my work easy
Thank you for this
Excellent job. Your lectures are really very well explained.
You explained the idea of sample proportion very very well. Well done!!!
Thank you so much for your kind words :)
@@monikamohini shall we precision be taken as 5% of propotion or not or we can take as 5% only for calculation
Really thank you.
Great lecture
ma'am great explanation. In case of Cochran 385 students i did not understand if you would elaborate it would be useful
Bestest ma'am need it lot...
Thank you for the helpful lecture. Since the allowable error is plus or minus, what would you say to using 6% instead of 5%?
Interesting❤
That was really helpful. Thanx a lot for such refined and easy explanation.
Very impressed
Very nice....
Prof, to conduct a validation study for translated questionnaire, how many respondents are recommended for a survey length of 73 items please? Much appreciate your guidance. Thank you.
Thanks 🙏 very helpful
In cases where I have students estimated as 70% with a significant number of 95%, which of the 2 cochran methods will be best
Very nice video mam
Great
thank you for your help but please can you explain me the difference between Yemans and Slovins formula and when we use one from the other
Hi prof.So thankful to come across this at the most needed time. Prof, may I know is it necessary to have sample size calculation done based on the number of items we have in the survey? Or using the formulas as per suggested in the video will be sufficient?
thank you ma'am ..,
Thank you
thanks dear.
Nice
Hi Ms. Cochran’s sample size formula is what type of sampling?
Good
Can you elaborate about rule of thumbs with example. Thanks again.good wishes.
I need ur help. I m anesthetist. J help oprate 5 to 8 almost daily. I want do antegrade study not retrovard. Tell me how long i should conrinue study n how i wil calculate sample size
if there is no prevalence then how can we calculate data for normative studies? if through pilot study can you please elaborate?
Nice vedio mam, but I want to ask this formulas are suitable for experimental research Or not
Mam, can you please provide me the pdf of your presentation. Yours is the best presentation
Please what are the 10 approaches for calculating sample size
Mam, I have a question
I am going to start a prospective study on DM patients.
I am confused about the value of (P) which I should take.
General the value of P = 0.5
But I checked the prevalence of Diabetes in India is 9.6% ( from Indian Diabetic Report 2021) with 77 million active cases of DM.
Mam, please clear my doubts about this and which value should I use to calculate the exact sample size for my study.
What if it’s t distrubution
Dear Sir any particular name is there for - formula for Sample size For proportion
Respected Sir, my question is
In which of the following do you think there are job Opportunities for the commerce graduates?
1. Banking (yes/No)
2. Data analysis (yes/No)
3. Start ups (yes/No)
4. Hotel Management (yes/No)
5. Tourism (yes/No)
6. Govt. Services (Yes/No)
7. Commerce practices like CA, ICWA, CPA (yes/no)..
How can I apply Cochran Q test here. To observe my results.
Please assist me in my query it will help me alot
Superb explanation..
Could you elaborate more on the degree of variability (p)..? Is it the same as the standard deviation? And if so, how to determine it..? As you were saying using 0.5 means we are having maximum sample size.. does the degree of variability have a range value? (0 to 0.5..?)
Thx
In this degree of variability means the proportion of variation in the population...if the population is fixed, you can calculate it with the formula/softwares, but when it is not fixed (usually it is infinite), then we take it as 0.5 as it denotes the maximum variability
www.statisticshowto.com/proportion-of-variance/
@@monikamohini say i have 100 data as the population, and somehow i only have access to 30 data (sample). Now under these limitation, if i want to measure the margin of error & my confidence level (could be just margin of error if assume confidence level of 95%), then i still need to input the proportion of variance.. what is the best approach to find the proportion of variance..?
In that case, sample size formula could be calculated as given in the video for fixed population...there is no need to calculate population variance for that matter...0.5 population variance is to be used only when population size is infinite. There is no range as such, 0.5 denotes the maximum variance, so we are chosing the maximum variance for calculating the adequate sample size
good, subscribed now
Please ma'am what is the name of the last formula? The formula stated at the end of the video
Hi, this is not the formula. It is a rule of thumb that in case you have to collect data for 10 variables, then 100 sample size is adequate and 200 sample size is best. Similarly, in case you have to study 20 variables, then 200 is adequate and 400 is best
Yes
Thanks a lot Mam
God bless you DEJENIE FROM ETHIOPIA
Can you please tell me the formula for calculating the sample size when the data is not normally distributed?
There is no formula for calculating such sample size (formulas and general rule are already mentioned in the video which you can choose as per the conditions). Normality or non normality is the result of the chosen sample size. As per Central Limit Theorem,if sample size is greater or equal to 30, then we assume that the distribution is normal distribution. If you still think that as per your study you can't take sample of 30, then you can use various tests available for not-normally distributed data.
@@monikamohini actually I have 800 sample size but normally test shows that data in not normally distributed, can you please suggest something that help me to make my data normal.
It is okay if your data is not normally distributed. You just need to use the appropriate test in that case. You don't need to "transform" a non-normal distribution into a normal one when in reality data is not normally distributed.
Taken from the internet...there are several options for handling your non normal data. Many tests, including the one sample Z test, T test and ANOVA assume normality. You may still be able to run these tests if your sample size is large enough (usually over 20 items). You can also choose to transform the data with a function, forcing it to fit a normal model. However, if you have a very small sample, a sample that is skewed or one that naturally fits another distribution type, you may want to run a non parametric test. A non parametric test is one that doesn’t assume the data fits a specific distribution type. Non parametric tests include the Wilcoxon signed rank test, the Mann-Whitney U Test and the Kruskal-Wallis test.
Mam please give the citation for the formula ...in comment section
Mam how to calculate sample size to assess knowledge level of
Students
how i know that the total population number is 5000 ,if un known
maam how we can determine sample size when population is not known exactly? please answer maam
Dear, you can find methods in this video only, when population size is not known
Maam is that cochran formula..
@@kanchanbagri9971 yes, and when you do a literature review on the same area, there also you will find many more formulas like this
Mam can you tell me how to calculate sample size for unknown population
You are the best. Crystal clear!
The same approach is to be followed as showed in the video...usually the population size in the academic research is not known.
Good day professor. In Yamane's Formula, I tried to recomputed again the solution. Why is it I'm getting 399.920015997 instead of 371? Thank you for your favorable answer.
Interesting❤
Thank you