5 Concepts in Statistics You Should Know | Data Science Interview

[@WebsterLincoln]

I would describe that as a positively skewed normal distribution, not an exponential distribution. Also, it's the 68-95-99.7 rule

[@walkerbutin5171]

Nice Webster

[@abdallahelmoctar7635]

Such a simple and straight forward refresher. I'm grateful for your work

[@RedShipsofSpainAgain]

11:16. I think you have a typo: The Normal distribution should be 68-95-99.7%, not 65-95-99.7%

[@asadhasnainbaqri5455]

significance level is the probability of making type 1 error, which is rejecting null hypothesis when it was true

[@annizheng5289]

Nice for having a brush up! Thank you!

[@shir0tei]

Thanks for the video! I The correlation formula is wrong though, the covariance is the numerator divided by n.

[@ayushmathur5984]

in #2 at 4.30 mins how he told that mean,median and mode value can anyone explain please

[@benxneo]

could you give me ideas for data science projects that deliver value to businesses

[@Foba_Bett]

I am binge-watching your channel ! 😎 In the correlation section - why not just straight up remove the outliers? 🤔

[@gaboqv]

that's what he is telling with a fancy name, you will use quartiles to confirm which of the points are outliers

[@dreamingaparisdream3178]

For the normal distribution, is it 66-95-99.7 rule or 68-95-99.7?

[@TheNIK21HIL]

it is 68% within 1 SD. it must be a typo on Dan's end. The graph though does represent it correctly.

[@ASHISHDHIMAN1610]

@@TheNIK21HIL yeah typo

[@basmaelkhamlichi8223]

Hypothesis testing and P value nicely explained, thank you!

[@DataInterview]

Thank you!

[@mahmutozmen1261]

Thanks for such a great content and your effort. Would you mind explaining further why you think that mode = median? Since this graph seems like a positively skewed graph, I though mode is around 3, median 4 or 5 and mean between 6 and 10.

[@jacksun7999]

6:43 should the numerator be cov(X,Y)? Seems there is a 1/(N-1) term missing.

[@cosystudy55]

Could you mention tools used to design and present your slides thanks!!!

[@pal999]

If you're using a real world example, you shouldn't "ASSUME" the SD to be something. Can you find out how it's determined in real world?

[@anirbansarkar6306]

Can you help me understand on what basis have you assumed population standard deviation to be 20?

[@stanislavdidenko8436]

2pm - poisson distribution

[@dreamingaparisdream3178]

Also where is the link for Meta Statistical Interview questions video please?

[@jcokonkwo]

I definitely appreciate the explanation then the applied DS examples right after. Thank you!

[@DataInterview]

That's the best way to learn :)

[@AllieZhao]

These are crucial concepts. Thanks

[@bandai2]

could you also use Spearman Correlation if you have outliers in your data?

[@eresque7766]

late but yeah u could

[@HarryPotter-st2cn]

Great content. Is non-normal distributions listed separately to put emphasis on it? I believe it will be included within the concept of the overall distributions

[@BrianSalamone]

1:08 8 hours a day in Facebook????? What is the X at the bottom?

[@michaell9804]

You failed to mention bayes theorem and binomial distribution which is used here just as heavily as normal distribution particularly when quantifying the probability distribution of the accuracy of unsupervised learning models. This video is not comprehensive at all

[@Omegageekk]

If you thought a video titled “5 concepts in statistics you should know” would be a comprehensive breakdown of literally every stats concept you need for data science, then I have a bridge to sell you.