Thank you so much! Answered everything that I didn’t know. Even answered when I couldn’t look for the data analysis tool and explained what the results mean. I wish you were my teacher 😭
You can generally use t-test independent assuming unequal variances But, in-case you want to be sure then; You will have to perform an F - Test to find out whether to choose equal or unequal variances. 1.)Calculate variances for both samples 2.) F = Larger Variance/Smaller Variance -----> THIS IS THE F-STAT or F-SCORE 3.)DoF = count(obs)-1 [for column which gave larger variance] and DoF = count(obs)-1 [for column which gave smaller variance] 4.) Check your alpha in the question, download F-Distribution table w.r.t. that alpha level 5.) Larger Variance column DoF should be the DoF1. Check that in column of F-table Smaller Variance column DoF should be DoF2. Check that in row of F-table 6.) You will get a F-Critical. If your F-Score is lesser than or equal to the F-Critical, then go for the Equal Variance t-test Note: If you are doing it by data analysis tool pack, make sure that in variable 1 you enter the samples column, which gave you a larger variance.
When nonnormality is a problem, you can use the nonparametric test described here: real-statistics.com/non-parametric-tests/wilcoxon-rank-sum-test/. I don’t have a video for this situation, I’m afraid.
What quickly comes to my attention is that you have a total of 30 observation, yet you are doing a Student's t-test. For observation of n >= 30, why aren't you using the Normal Distribution? You have instead chosen to do a Student's t which is for n being a s mall number.
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Thank you so much! Answered everything that I didn’t know. Even answered when I couldn’t look for the data analysis tool and explained what the results mean. I wish you were my teacher 😭
Your last information of scientific notation really helped me i was stuck on the same thank you.
Authentic! Thank you very much, Ken.
You really helped me solve my problem in excel, thank you so much
THAT'S AWESOME~~~!!!
Bloody helpful. Thanks!
This is very helpful. Thank you!
YOU SAVED OUR STUDY
Excellent presentation
Thanks ❤
amazing, thank you
Excellent, thank you.
Thank you!! So helpful!
Thank you very much!! :D
I get it now, thanks so much.
what is the significance of hypothesized mean difference box?
thank you sooooooooooooooo much!!!
from where do we find the numbers for a and b?
what if the sample sizes are unequal? How do you know when to assume unequal variances?
You can generally use t-test independent assuming unequal variances
But, in-case you want to be sure then;
You will have to perform an F - Test to find out whether to choose equal or unequal variances.
1.)Calculate variances for both samples
2.) F = Larger Variance/Smaller Variance -----> THIS IS THE F-STAT or F-SCORE
3.)DoF = count(obs)-1 [for column which gave larger variance] and DoF = count(obs)-1 [for column which gave smaller variance]
4.) Check your alpha in the question, download F-Distribution table w.r.t. that alpha level
5.) Larger Variance column DoF should be the DoF1. Check that in column of F-table
Smaller Variance column DoF should be DoF2. Check that in row of F-table
6.) You will get a F-Critical. If your F-Score is lesser than or equal to the F-Critical,
then go for the Equal Variance t-test
Note: If you are doing it by data analysis tool pack, make sure that in variable 1 you enter the samples column, which gave you a larger variance.
Thanks!!!
thanks
Sir plz tell me there are 60 total number of observations why df is 50 instead it should be 58.
t stat is t obt, right?
thank you so much.. my question is.. if my data not normal distribution, what statistical test can I use
When nonnormality is a problem, you can use the nonparametric test described here: real-statistics.com/non-parametric-tests/wilcoxon-rank-sum-test/. I don’t have a video for this situation, I’m afraid.
Thank you sir
how to interpret?
What quickly comes to my attention is that you have a total of 30 observation, yet you are doing a Student's t-test. For observation of n >= 30, why aren't you using the Normal Distribution? You have instead chosen to do a Student's t which is for n being a s
mall number.