Sample size is really important when we talk about how reliable statistics are. Let’s break it down:

• Larger Sample Size:

  • It gives a better picture of the whole group.
  • It helps balance out any unusual results.
  • It makes us feel more sure about the findings (less chance for errors).

• Smaller Sample Size:

  • It can lead to incorrect conclusions.
  • There’s a bigger chance that random differences will change the results.
  • The results might only show the quirks of a few people.

From what I’ve seen, it’s super important to always check the sample size. This helps you decide if a statistic is reliable. It’s a great way to avoid being surprised later on!