After my post the other day on tracking public opinion with biased polls, someone pointed me to this 2011 article by David Yeager, Jon Krosnick, LinChiat Chang, Harold Javitz, Matthew Levendusky, ...

1. Distinguish between probability and non-probability sampling and discuss the advantages and disadvantages of each. If you can not specify the probability that any given individual will be in the ...

Why is data sampling important? Data sampling is a widely used statistical approach that can be applied to a range of use cases, such as analyzing market trends, web traffic or political polls. For ...

For decades the gold standard for public opinion surveys has been the probability poll, where a sample of randomly selected adults is polled and results are used to measure public opinion across an ...

Explore why CEM planners can generate bad action sequences by fitting independent probabilities that ignore dependencies ...

For observations based on sensory data, the human brain must constantly verify which "version" of reality underlies the perception. The answer is gleaned from probability distributions that are stored ...

Sampling populations, calculating weighted estimates, and accounting for errors, outliers, and uncertainty are important steps in our work to produce recreational catch statistics. There are two broad ...

The New York Times and CBS News made big news in the polling world this weekend when they announced that they will begin using online survey panels from YouGov as part of their election coverage.