JD Supra

Demystifying Statistical Sampling: What Litigators Should Know About Statistical Sampling in Labor and Employment Disputes

With statistical sampling, counsel can simplify damage analyses, avoid potential issues with incomplete or missing data, and minimize the risk ...
JSTOR Daily

Using Standard Tools From Finite Population Sampling to Improve Causal Inference for Complex Experiments

This article considers causal inference for treatment contrasts from a randomized experiment using potential outcomes in a finite population setting. Adopting a Neymanian repeated sampling approach ...
JSTOR Daily

Using and Evaluating ISEE, a New Computer Program for Teaching Sampling and Statistical Inference

The importance of teaching statistical sampling is matched only by the difficulty encountered by many social science students in grasping its theory and application. This paper briefly discusses the ...
University of Bristol

Point estimates and population parameters

Explain what is meant by statistical inference. Define a point estimate and population parameter and list common types of point estimates and parameters Identify point estimates and parameters when ...
Investopedia

Sampling Distribution: Definition, How It's Used, and Example

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Thomas J. Brock is a CFA and CPA with more ...
University of Bristol

From population to sample

On watching this video, students should be able to: Confirm that that aspects of good study design include defining the research question, defining the target population, and using an appropriate ...