October 2019
Beginner to intermediate
674 pages
16h 43m
English
Content preview from Mastering pandas - Second Edition
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Background
To apply statistical inference, it is important to understand the concept of what is known as a sampling distribution. A sampling distribution is the set of all possible values of a statistic, along with their probabilities, assuming that we sample at random from a population where the null hypothesis holds true.
A more simplistic definition is this: a sampling distribution is the set of values that the statistic can assume (distribution) if we were to repeatedly draw samples from the population, along with their associated probabilities.
The value of a statistic is a random sample from the statistic's sampling distribution. The sampling distribution of the mean is calculated by obtaining many samples of various sizes and taking ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.