This video will show you how to verify if there is a difference in the variances of two samples. Basically, we are wondering if one sample is more varied than the other.
How is it that a free eight minute RUclips video accomplishes something that a week of lecture and an entire chapter of a three hundred dollar textbook couldn't...thank you,truly.
5 years later and your statement is still true. 10 years later and your statement will still be true. 20 years later and your statement will still be true.
Very well explained. Clear voice and concise content. The only thing I noticed is that you did not explain why the variance in two-tailed test should be highest on top and lowest on the bottom. Also why it was opposite for one-tail test. :)
thank god ...by looking at the comment section i felt better i looked at my work-out book twice before acknowledging it must be a mistake ..critical value of the test is 4.03 not 4.09
Nice video, thanks. One remark however. When comparing your test value to the critical value you are comparing the Ftest value to the Fcrit value. In your presentation you accidentally wrote Z values, which maybe confusing as the test is about the F distribution.
sgtcojonez sigma squared is the symbol for population variance. Because the standard deviation is the square root of variance, the symbol for standard deviation is sigma.
Good effort but this is WRONG. First and foremost, there is no such a thing as two-tailed test for Chi-Squared and F distribution. When mathematical transformation is being applied, both sides of the normal distribution curve has been already considered within the Chi-Squared and F distribution itself. As such, no negatives values are observable and there goes the symmetrical shape of the distribution.
How is it that a free eight minute RUclips video accomplishes something that a week of lecture and an entire chapter of a three hundred dollar textbook couldn't...thank you,truly.
Spot on
no such thing as lecturx or accomx or not, lecture not lectured no matter what
5 years later and your statement is still true.
10 years later and your statement will still be true.
20 years later and your statement will still be true.
You saved me on the first test!!! If only it would have been explained this simply in class!!
Thank you very much! Excellent and complete explanation, I am grateful for the details mentioned at every step. You saved my life :)
Thank you. It's hard to find instructions online about how to find the F* critical value for 2-tailed tests. This video helps a lot.
the critical value is 4.03 not 4.09
I'm not a native speaker but you taught very well and clear, got it, thanks!
Your video tutorials are great.
Very well explained. Clear voice and concise content. The only thing I noticed is that you did not explain why the variance in two-tailed test should be highest on top and lowest on the bottom. Also why it was opposite for one-tail test. :)
thank god ...by looking at the comment section i felt better
i looked at my work-out book twice before acknowledging it must be a mistake ..critical value of the test is 4.03 not 4.09
being a teacher is the right career for you,kudos others are teachers but you wonder how the hell did they become teachers
I love your videos professor!
I have got my quiz tomorrow and you saved me Taylor!! ^_^ Cheers . ..
Nice video, thanks. One remark however. When comparing your test value to the critical value you are comparing the Ftest value to the Fcrit value. In your presentation you accidentally wrote Z values, which maybe confusing as the test is about the F distribution.
thank so much for your outstanding explanations, simply remarkable
Thanks a million. This really helped!
Thank you for submitting this video!
Thank you! Clear explanation.
Nicely described
what if degree of freedoms are differentr for two tailed test and then we have to find lower critical value
I did using R and got this for the exercise problem.
Can you please tell what is wrong?
fcalc1
you are the best
but why would we need to know if one distribution has higher variance than the other? Could someone explain please?
Thank you ma’am
When you say choose the value that's closer, does that mean not to use infinity? So you dont use it even if the n's are > 1000
How did you calculate significance as 0.05 ? Please help me out with this.
I think the symbols that you are using for Population Variances are instead used for Population Standard Deviations. Right?
sgtcojonez sigma squared is the symbol for population variance. Because the standard deviation is the square root of variance, the symbol for standard deviation is sigma.
do you have to double the p value of an anova result because we use a two tailed F test ?
thank u.
What is s in that table of salt contents?
so i seem to be in a bit of a predicament- my alpha value is 0.1, what do i do to find my critical values?
nvm i found other f dist. tables
thank you :)
good
Why do you use a comma instead of a dot or decimal point?
It's a European thing. She sounds Irish maybe
thank you .......:)
Good effort but this is WRONG.
First and foremost, there is no such a thing as two-tailed test for Chi-Squared and F distribution. When mathematical transformation is being applied, both sides of the normal distribution curve has been already considered within the Chi-Squared and F distribution itself. As such, no negatives values are observable and there goes the symmetrical shape of the distribution.
How did the critical value magically change from 4.03 to 4.09?
I didn't understand.. Probably the method is different or approach is different but it is contradicting to what I've learnt.
🥧
I hate statistics. So much