Good video. How do we know which hypothesis is right? It would be also right to say that the null hypothesis has unequal variance. Is there something to determine the formulation of the hypothesis? I could say that in first case the male has more variance than female and in the second case there is a difference in the variance.
Thank you for your tutorial video. It was very helpful to me. I have a one question for F-test. I know that F-test is performed to know the two groups having same variance or not. And this information could be used for performing a Student's t-test or Welch's t-test. If only the p-value is utilized in an F-test to determine whether the variance is homogeneity or heterogeneity, which p-value is correct for this purpose? (one-tailed p-value or two-tailed p-value < 0.05?) I will wait your reply. Thank you
So I could just skip the one tail procedure, do the two tail with one command and divide by two to get the P value for one tail F? Or am I missing something here?
These two particular sample variances are different, but they are not different enough to prove to us that the variances for the POPULATIONS are different, based on the small sample size and the level of significance (alpha = 0.05) that we are using for the test.
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Daaang! This was a neat tutorial! I've exams tomorrow and I'm really grateful for your video!
Good luck mate!
really simple, really practical thank you!
Thank you for your work! It is very interesting and helpful. Good channel!
Glad you enjoy it!
your set of videos are fantastic only thing thats helping me do stats in biomed
wonderful explanation
you saved my life thank you!!
This has been very helpful! God bless you! Thank you!
thank you
Thank you so much for this valuable video
Thank you. It was helpful
Good video.
How do we know which hypothesis is right?
It would be also right to say that the null hypothesis has unequal variance.
Is there something to determine the formulation of the hypothesis?
I could say that in first case the male has more variance than female and in the second case there is a difference in the variance.
You saved me thats a lot
Excellent tutorial. Do you have any tutorials on working with time?
Thank you for your tutorial video.
It was very helpful to me.
I have a one question for F-test.
I know that F-test is performed to know the two groups having same variance or not. And this information could be used for performing a Student's t-test or Welch's t-test.
If only the p-value is utilized in an F-test to determine whether the variance is homogeneity or heterogeneity, which p-value is correct for this purpose?
(one-tailed p-value or two-tailed p-value < 0.05?)
I will wait your reply.
Thank you
thank you!!
Is df 6 good for F-test and independent t-test
I hope I reach that level someday
thanks a lot
Can i use the test ?if i have the values of laboratory data on day-1 and day-5
So I could just skip the one tail procedure, do the two tail with one command and divide by two to get the P value for one tail F? Or am I missing something here?
Sure, you can do that! :)
I just demonstrated both ways for the purposes of the tutorial
Suppose you could if you only wanted a p-value. But you would get no information for the f-test value or the f-critical-value.
What's the difference between a one tail and a two tail? HOw do I know which one I need to do?
If the alternate hypothesis has a 'does not equal' sign, then it is a 2-tail test. If the the alternate hypothesis has a '>' or an '
Can you please interpret this?
And what should I do with the exponents?
Mean 1371955.979
Variance 3.43924E+12
Observations 48
df 47
F 7.424245218
P(F
same situation bro, did you solve this?
There is a difference between variance of two populations. Then why alternative hypothesis is rejected??
These two particular sample variances are different, but they are not different enough to prove to us that the variances for the POPULATIONS are different, based on the small sample size and the level of significance (alpha = 0.05) that we are using for the test.