[Verse 1] When you're testing a mean from just one crew That's a one-sample t-test It's all about you You’ve got your null Your alternative plan Check the difference See where you stand The mean of the group The hypothesized line If p is small Your results could shine Effect size Cohen’s d Let’s find the clue How far apart How much is true [Chorus] T-test Oh t-test What do you say Are these numbers just random Or do they slay P-value whispers "Is it less than .05?" Cohen’s d shouts "Here’s how strong it vibes" [Verse 2] Two-sample t-test Now you’ve got a fight Two groups Two means Who’s wrong Who’s right Are they different or just the same P-value’s here to play the game Equal variances or maybe they’re not Just use Welch's test It’s a critical spot Cohen’s d steps in to quantify The size of the gap Don’t let it lie [Chorus] T-test Oh t-test What do you say Are these numbers just random Or do they slay P-value whispers "Is it less than .05?" Cohen’s d shouts "Here’s how strong it vibes" [Verse 3] Dependent t-test, compare the means Checks if the difference is what it seems Matched pairs from a single class Analyze the shifts to see the contrast Differences noted, one's own baseline Results will reveal, is there a sign? [Chorus] T-test Oh t-test What do you say Are these numbers just random Or do they slay P-value whispers "Is it less than .05?" Cohen’s d shouts "Here’s how strong it vibes"
