Bifalgorithm post

Can you solve this data science question asked by Uber? So imagine you've just blended a smoothie and you don't have a great blender. So the sweetness of the smoothie varies from the top to the bottom to the middle. It's very different. The bottom tends to be a bit more sweet and you're asked to rate how sweet the smoothie is from scale to one to five. You take one sip from the top and it's not that sweet and you give it maybe a one or two. So now let's say you take multiple sips and you use a straw for this. You're taking sips from the bottom, middle and top. So now that you have your data points one through five of the sweetness between all of the different parts of the smoothie, you have a more accurate depiction of how sweet the smoothie is as a whole rather than just certain parts. The law of large numbers tells us the more independent samples you take, the closer your sample average gets to the true average. Share this with a friend who wants to be a data scientist.

Can you solve this data science question asked by Uber? So imagine you've just blended a smoothie and you don't have a great blender. So the sweetness of the s…