Importance sampling is an approximation method that uses a mathematical transformation to take the average of all samples to estimate an expectation. Here’s how to do it.
Statistical bias is when a model or statistic is unrepresentative of the population. There are six main types of bias in statistics.
Inferential statistics is the practice of using sampled data to draw conclusions or make predictions about a larger sample data sample or population.
The pigeonhole principle states that if n items are put into m containers, with n > m, then at least one container must contain more than one item.
What you need to know to get started with descriptive statistical analysis.
If you’re just getting started on your journey toward becoming a data scientist, these are the 4 most common distributions you’ll encounter.
