Sampling is a tool researchers use for marketing, sociology or empirical study. In order for sampling to be productive, the data analysis must not be tainted. There are techniques for creating a ...

Andriy Blokhin has 5+ years of professional experience in public accounting, personal investing, and as a senior auditor with Ernst & Young. Eric's career includes extensive work in both public and ...

How They Differ and Practical Uses in Finance and Investing Henry Hoenig has three decades of journalism experience as a news and economics editor in the U.S. and Asia, handling coverage of global ...

We have previously discussed the importance of estimating uncertainty in our measurements and incorporating it into data analysis 1. To know the extent to which we can generalize our observations, we ...

You are a serious marketer, so, of course, you’re diligent about metrics and analytics. You create and run custom Google Analytics reports so you can make the best decisions for your team and your ...

In Hypothesis Testing 1, you were introduced to the ideas of hypothesis testing in the context of deciding whether a coin was fair or biased in favor of heads. In this section hypothesis testing ...

Do you keep hearing people talk about sampling rate in music? But aren’t certain what that actually is?? Well, friend, you’ve come to the right place. On a fundamental level, sampling rate is a result ...

Sampling is a technique in which samples are drawn at random (without any favor or bias). For this, suitable measures or procedures may be laid down and adopted according to the nature and ...

This file type includes high resolution graphics and schematics when applicable. Author’s note: Early in my engineering career, I accepted a research project to characterize light transmission ...