Non-Sampling Error
Definition of 'Non-Sampling Error'A statistical error caused by human error to which a specific statistical analysis is exposed. These errors can include, but are not limited to, data entry errors, biased questions in a questionnaire, biased processing/decision making, inappropriate analysis conclusions and false information provided by respondents. |
|
Investopedia explains 'Non-Sampling Error'Non-sampling errors are part of the total error that can arise from doing a statistical analysis. The remainder of the total error arises from sampling error. Unlike sampling error, increasing the sample size will not have any effect on reducing non-sanpling error. Unfortunately, it is virtually impossible to eliminate non-sampling errors entirely. |
Related Definitions
Articles Of Interest
-
Why The Consumer Price Index Is Controversial
Find out why economists are torn about how to calculate inflation. -
Using Historical Volatility To Gauge Future Risk
Use these calculations to uncover the risk involved in your investments. -
A Guide To Conference Board Indicators
Learn to put the CB data sets to trading use. Each chapter takes you through one of the board's benchmark indicators or surveys, their significance and their applications. -
Quants: The Rocket Scientists Of Wall Street
Blend math, finance and computer skills to command a high - and well deserved - salary. -
5 ETFs Flaws You Shouldn't Overlook
Despite their popularity, exchange traded funds have some drawbacks that investors should know about. -
Using The Price-To-Book Ratio To Evaluate Companies
The P/B ratio can be an easy way to determine a company's value, but it isn't magic! -
Liquidity Vs. Solvency
Learn about the differences between these two words and how each one is used in the stock market. -
Calculating The Means
Learn more about the different ways you can calculate your portfolio's average return. -
Should You Invest Your Entire Portfolio In Stocks?
It is true that stocks outperform bonds and cash in the long run, but that statistic doesn't tell the whole story. -
The Uses And Limits Of Volatility
Check out how the assumptions of theoretical risk models compare to actual market performance.
Free Annual Reports