Python for Data Analysis: Chi-Squared Tests

[@pavloseimskyi2413]

Man, your videos are just absolutely amazing. Simple, clean, great voice and quality of audio. Also, you explain what you're about to do in both more complex scientific notation and simple human words. This way, I definitely feel much less intimidated by all those definitions. I work since recently as a data analyst and need to fill tons of gaps in my stats knowledge and your channel is the number one so far in terms of sources where I learn from. I really trust that what you say is actually true (not always the case for other content on the web!). I really hope that one day your channel becomes freakin' famous, you really deserve it! Keep it up!!!

[@wenanyaugustine3311]

OMG ! You are so good at explaining this . I just don't know how you have 30K views. That explanation was excellent 👌

[@proterotype]

another hit for DataDaft

[@susus2erico]

Your didactic method is wonderful!

[@panmichal12]

I need to improve my knowledge of statistics for Data Science and this channel is a really helpful one! Everything is short and clear. Thank you for your work!

[@bhavinmoriya9216]

To reject H0, do we need : pval < .05 and chi3 stat > crit value ?

[@wenanyaugustine3311]

Yes

[@DoYouHaveAName1]

Thank you so much!!!! Great explanations

[@dilaraesmer]

Thank you so much ! :) I used these codes and their details for my study

[@shubhi2194]

Great video! Concise, with information articulated in a simplifed manner. Thanks for sharing your knowledge. :)

[@kristianovari5258]

Hi. I tried it with gender and with marital status on population and sample dataframe. But my results are always [0.]. If i use the .pdf instead of .cdf than the results is [1.]. With the round function is the same. Any idea what went wrong? 🙏

[@alebecker12]

Hi! Thanks for the video! Very good explanation! But I still have a doubt, what if I melt the table and put the columns as row values, for example, [asian-democrat,asian-independent,asian-republican,black-democrat,black-independent,black-republican] and [23,11,25,61,28,64] (like, instead of a data frame with four columns, a df with just one column "quantity" and the specific demographics in the row? Would that be wrong?

[@qya.4594]

Great video. Thanks I am just wondering do you need to calculate the observed and expected values manually? If Yes, wouldn't using R for statistical analysis be much simpler?

[@bhavinmoriya9216]

OR either of these two would reject the H0?

[@shawndavid8755]

Damn !!! Awesome explanation.

[@ilducedimas]

You are absolutely AWESOME. Thanks

[@DanielJimenez-yy8xk]

great video

[@panzabamboo1901]

So detailed. Thank you!]

[@sebastianortiz4234]

Gracias amigo! Muy claro!

[@urd4651]

Thank you for the videos. articulating it through out the example is very helpful indeed. cheers!

[@yusufalhaji852]

❤

[@LastRolo0]

🏆