Liberal Forum

Blackvegetable » 9 minutes ago » wrote: ↑

9 minutes ago

No....that's a lie.

List them

Every one...and make sure they are all sampling errors.

1. Selection Bias: Occurs when the sample collected is not representative of the population intended to be analyzed, leading to skewed results.

Example: Studying only people who responded to an online survey about internet use. You’re automatically excluding non-users, skewing your conclusions.

2. Undercoverage Bias: Occurs when some members of the population are inadequately represented in the sample.Example: A telephone survey using landlines will miss younger people who mostly use cell phones, underrepresenting their opinions.

3. Exclusion Bias: Happens when certain groups are deliberately or accidentally left out of the sample.Example: A medical trial that excludes elderly participants, even though the treatment is intended for all adults.

4. Publication Bias: This happens when studies with significant or positive findings are more likely to be published, and thus more likely to be included in reviews or meta-analyses.Example: A new drug appears highly effective in the literature, but dozens of unpublished trials with null results were never seen.