Mastering Hypothesis Testing for Data Science Interviews: Binomial, Z-test, and T-test

This video is part 1 of hypothesis testing problems in data science interviews.
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Contents of this video:
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00:00 Intro
00:34 Three types of questions
02:18 When to use binomial test, z-test and t-test
05:09 t-distribution vs z-distribution
06:50 Testing proportions
09:26 What's in the next video

[jvn]

Great content as always Emma. An intuitive way to think about not using t-test for estimating population proportion is that for Bernoulli data, there is only one unknown. The population proportion. Once we know it, the variance is simply p(1-p). But In the case of estimating population mean, there are two unknowns. Population mean and population standard deviation. The heavier tail of t dbn is used to capture the extra uncertainty caused by this additional unknown. Khan Academy explains this in more detail for anyone interested. Thanks!

[stellawww]

best hypothesis testing video I've ever seen on youtube, thank you for producing great content!

[nzoipdm]

always spoiled by Emma's concise and clear explaination.

[liuauto]

This video will save tons of effort before taking a stats course and diving into any details. Have not seen such a helpful diagram ever before.

[sinhamohit]

Timestamps
Top quality content
No funky intro music
No repetitive sentences
No begging for likes and subscribe
Actually gets started when says "Let's get started"


Earning subscribers the right way!

[cming]

so much appreciation for every content you upload!!!

[deepadas]

Love your videos, Emma! Very insightful and to-the-point explanation.
I would love to see some domain-specific analytics interview case studies like- supply chain analytics, e-commerce analytics.

[oliviazhang]

You are absoluetly the best Emma!! Thank you!!!

[norilouis]

This is SO helpful and I really appreciate your content Emma!

[vincenttan]

good stuffs! clearer than textbook and even lecturers.

[lydiamai]

Hi Emma, although I have not learnt this far, I enjoyed the video thanks to your clear and structured explanation. Thanks.

[starbuststream]

Very informative video for job interview preparers!

[hameddadgour]

Great explanation and very informative! Thank you!

[anamikadas]

Love your videos Emma! For bernoulli variables, would a Chi-Squared also work? Is one method preferred over another in practice?

[ramanadeepsingh]

Great video...what happens when sample-size is less than 30 and population distribution is not normal. What kind of tests are used in practice?

[csousa]

Great video! I would love to see a video about hypothesis testing but applied to a case of use when you have to apply A/B/n testing.

[bcws]

Does the Slutsky theorem apply here? Slutsky theorem only applies when one number converges in distribution to a random element and the other converges in probability to a constant.

[brothermalcolm]

Perfect, just what I need, subscribed!

[YK-mhmp]

For general distribution other than normal distribution, I think it is theoretically wrong to use t-test. It is not only for proportions.

[zhihaoxu]

Hi Emma, thank you very much for making this videos. It is indeed very helpful! However, I have a question regarding the difference between Z-test and Binomial test. For small sample, i.e when np<10 or n(1-p)<10, I think the only reasonable way is to use simulation (bootstrapping). I wonder what you are referring here when you mention binomial test. Thanks a lot!