What's the buzz? 🐝
When you’re dealing with IB psychology internal assessment projects, choosing the correct test is like picking the perfect outfit for a party. You wanna look sharp!

So, when do you go for the related t-test? 🤔

• Your sample size is poppin', like at least 15 participants (more friends, more fun!).
• You've got an eagle's eye and don't spot any weird outliers that could ruin the fun.
• Everything seems “normal” – no wild party crashers in the difference scores.

But, hey! ⚠️

If even one of these criteria acts like that moody friend who doesn’t want to go out, it's time to switch the party venue! Go for the non-parametric test.

Why is this test special? 🌟

• It's like the unrelated t-test’s cooler cousin, but more chill because it’s non-parametric.
• It isn’t fussy about the distribution of your DV.
• Doesn’t deal with confusing means or standard deviations.

How to use it? 🛠

• Grouping: Sort all the values from teeny tiny to humongously big. If some values are the same (like twins!), keep them together.
• Ordering: Give these values ranks (like VIP, main guest, and so on).
• Ranking: For those twins, replace their ranks with an average, so they share the fame!
• Calculate the celeb status (mean rank) and how many are in each group (sum of ranks).

Real-World Example: 🎵
Imagine a concert! Half the crowd listened to the band in a silent room (quiet condition), while the other half was in a noisy bar (noisy condition). We want to know if the noisy environment affects how many songs people recall. Using the Mann-Whitney U test, we found that those in the quiet room remembered more songs! Music to our ears, right?