What are the common pitfalls in sequential testing?

What are the common pitfalls in sequential testing?

Some common pitfalls include inadequate sample sizes, ignoring prior results, and not accounting for variability.

Can you explain why inadequate sample sizes are a problem?

Inadequate sample sizes can lead to unreliable results, making it difficult to detect true effects or differences.

What about ignoring prior results? Why is that an issue?

Ignoring prior results can lead to biased conclusions, as it disregards valuable information that could inform current tests.

How can I avoid these pitfalls in my testing?

To avoid these pitfalls, ensure proper planning, use adequate sample sizes, and continuously analyze prior results.