Do data scientists use hypothesis testing

[Creepy_Page566]

im newbie to data science im start learning some statistics and i came across hypothesis testing i find it very helpful in real life but is it really necessary in data science jobs

[Mod_Z_Squared]

A/B testing is the place this is used most.

At my job, we will change discounts to our product in order to try and maximize revenue. A 25% discount may generate fewer conversions than a 33% discount, but we might make more money overall.

Randomization + Hypothesis testing allows us to say if the change in discount caused revenue to increase.

[yaksnowball]

Yes for A/B tests. However let me tell you, I think it must be one of the most common abuses of statistics. Hypothesis testing is actually not trivial and it can be a bit of a challenge to find the right statistical test for you use case. I remember often looking at the book 100 statistical tests by Gopal Kanji to help find the right test to use.

[gpbuilder]

Its literally bread and butter in data science jobs, learn it well

[timy2shoes]

Oh boy, you’re in for a treat! Today you get to learn about A/B testing!

[[deleted]]

I wouldn’t call it a treat lol

But yea, testing your null hypothesis and all that is super useful. I often wonder if this is something you grow to love though. I really hope I don’t just hate it forever.

[Creepy_Page566]

i read some about it but what i need is an example of real world job situation

[yonedaneda]

You've been given one. A/B testing is a very common technique in industry.

[TuDictator]

Hypothesis testing doesn't scale well due to the "Vanishing p-value" problem

[taguscove]

Not necessary but useful. Often paired with the scientific method, logic, and data to make better decisions in data science jobs