Statistics is the science of changing your mind. | Shreya
Shared on Data Science
Statistics is the science of changing your mind.
Making decisions based on facts (parameters) is hard enough as it is, but -curses!- sometimes we don’t even have the facts we need. Instead, what we know (our sample) is different from what we wish we knew (our population). That’s what it means to have uncertainty.
Here is the statistics jargon cheatsheet...
- Bayesians change their mind about beliefs.
- Frequentists change their mind about actions.
- Hypotheses are descriptions of what the world might look like.
- Testing in a nutshell: “Does our evidence make the null hypothesis look ridiculous?”
- The p-value on the periodic table: it’s the element of surprise.
- Only change your mind if the confidence interval doesn’t overlap with your null hypothesis.
- The math is all about building a toy model of the null hypothesis universe. That’s how you get the p-value.
- Use power analysis to check that you budgeted for enough data before you begin.
- Uncertainty means you can come to the wrong conclusion, even if you have the best math in the world.
- Type I error is changing your mind when you shouldn’t.
- Type II error is NOT changing your mind when you should.
Types of Rich Text Editors In the previous post I explained what are RTEs and why are they used, in this post, I am going to throw some light on the types of RTEs, and will make you familiar with the sample content format. https://fifo.im/p/35ghmd1uxln0
Rich Text Editor In recent years, the field of Content Creation and Representation on Digital platforms has seen massive disruption. This transition has shown how companies are racing to build the best experience for content creators in the enterprise domain and trying to find innovative ways to break the traditional molds of sharing and consuming content.