F-Test for two sample variances

[@picsmics4]

How is it that a free eight minute KZbin video accomplishes something that a week of lecture and an entire chapter of a three hundred dollar textbook couldn't...thank you,truly.

[@fawadmahdi]

Spot on

[@zes3813]

no such thing as lecturx or accomx or not, lecture not lectured no matter what

[@lameiraangelo]

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.

[@Jlv271]

You saved me on the first test!!! If only it would have been explained this simply in class!!

[@WisdomPagesTV]

Thank you very much! Excellent and complete explanation, I am grateful for the details mentioned at every step. You saved my life :)

[@spoyledbratt]

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.

[@rodrigosardinha3602]

I'm not a native speaker but you taught very well and clear, got it, thanks!

[@ashutoshdas3010]

Your video tutorials are great.

[@kelvinminor5889]

the critical value is 4.03 not 4.09

[@jimp2870]

I love your videos professor!

[@iam_a.maestro]

being a teacher is the right career for you,kudos others are teachers but you wonder how the hell did they become teachers

[@nomanul12]

I have got my quiz tomorrow and you saved me Taylor!! ^_^ Cheers . ..

[@frankpeetershome]

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.

[@1414gp]

what if degree of freedoms are differentr for two tailed test and then we have to find lower critical value

[@SuperMixedd]

but why would we need to know if one distribution has higher variance than the other? Could someone explain please?

[@vitokonte]

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. :)

[@samvoisin3269]

Thank you for submitting this video!

[@mawliidmahmud9615]

thank so much for your outstanding explanations, simply remarkable

[@sushodhan]

How did you calculate significance as 0.05 ? Please help me out with this.

[@noueruz-zaman7894]

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

[@fysiologieee]

do you have to double the p value of an anova result because we use a two tailed F test ?

[@jacobhero1577]

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?

[@jacobhero1577]

nvm i found other f dist. tables

[@xtzyshuadog]

What is s in that table of salt contents?

[@Sui_Generis0]

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

[@bastiaanstultjens]

Thanks a million. This really helped!

[@abhishekmakam6699]

I did using R and got this for the exercise problem. Can you please tell what is wrong? fcalc1

[@tubuvegogoscholar4676]

Thank you! Clear explanation.

[@ashutoshdas3010]

Why do you use a comma instead of a dot or decimal point?

[@zabba7461]

It's a European thing. She sounds Irish maybe

[@ashutoshbhardwaj4128]

Nicely described

[@sgtcojonez]

I think the symbols that you are using for Population Variances are instead used for Population Standard Deviations. Right?

[@samvoisin3269]

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.

[@videogrillo]

you are the best

[@PatriciaCobilla]

pano po pag 35 ang degree of freedom

[@jayjayf9699]

How did the critical value magically change from 4.03 to 4.09?

[@DeepakSharma-wz2fb]

Thank you ma’am

[@MrCentripetal]

thank you :)

[@mohdmuneer5075]

thank u.

[@ririssinambela5952]

thank you .......:)

[@Sats33]

I didn't understand.. Probably the method is different or approach is different but it is contradicting to what I've learnt.

[@DrGP-lifestyle-MindBodySpirit]

good

[@nobitatabino5959]

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.

[@comfycozyarewe388]

🥧

[@ezekbardunsihk5735]

I hate statistics. So much