Sampling Error

Written By Jonathan Milner

Definition

A sampling error is a statistical error that occurs when an analyst does not select a sample that represents the entire population of data. In statistics, a sample refers to a subset of a larger population. The sample allows researchers to conduct their study on a part of their target population so that they can work with manageable data, in a timely and cost-effective manner. In order to acquire data that is generalizable to your target population, is integral to select a sample group that is representative of your target population. A representative sample will have the same composition as that of the larger population. However, when researchers fail to select a target population that is representative, it results in sampling error.

Example

 
 

Questions

  1. What is a sampling error?

  2. What are some reasons a poll might have a sampling error?

  3. What can pollsters do to try to avoid sampling errors?

  4. What is a random sample and how does it relate to sampling error?

  5. Why could sampling errors impact the reliability of a poll?

Remember!

Now, let’s commit this term to our long-term memory. On a scrap piece of paper, take 10 or 20 seconds to draw sampling error! Draw with symbols or stick figures if you wish. Nothing fancy. Don’t expect a masterpiece. No one else will see this but you. Look at your drawing. That’s all - now it’s downloaded into your memory. Destroy the piece of paper in a most delightful way.

Further Review

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Jonathan Milner

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