An easy introduction to non-probability sampling in statistics, which selects samples based on the researcher's judgment or convenience, covering convenience, judgment (purposive),
Probability distributions are a core concept in statistics and data science. This article covers their basic concepts and history, the main types and their characteristics, their m
Why does the share of heads get closer to half the more times you toss a coin? This article explains the meaning and principle of the law of large numbers, its history beginning wi
If a questionnaire asked, “Have you ever underpaid your taxes in the past year?”, how many people would honestly write “yes”? Faced with sensitive questions, people tend to lie or
Probability sampling randomly selects cases so that every member of a population has a known probability greater than zero of being chosen for the sample; these probabilities need
Why do conclusions drawn only from what survived so often mislead us? This article explains survivorship bias: what it is and how it arises, the story of the World War II bombers,
Analysis of variance (ANOVA, Analysis of Variance) is one of the essential analytical techniques in statistics and is widely used across many fields. By testing differences in the
The Monty Hall problem is a classic conditional-probability puzzle about how to update the odds when new information arrives. This piece covers the host’s rules, why switching wins
How would you find out how many fish live in a wide lake? You cannot drain the water and count them one by one, and since fish never stop swimming, counting them by eye is just as
In many naturally occurring sets of numbers, smaller leading digits appear far more often: about 30.1% start with 1, and only about 4.6% with 9. This article explains the definitio
The friendship paradox is the phenomenon in which most people's friends have, on average, more friends than they do. This article explains why it happens with a simple calculation,
The base rate fallacy is judging from vivid case details while ignoring how common an event usually is. This piece covers Kahneman and Tversky’s research, the cab problem, everyday