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Every data professional forgets which statistical test to use. Here's the fix. ๐Ÿ› 

(Bookmark it. Seriously. ๐Ÿ“Œ)

I've been there:
โ†ณ Staring at two datasets wondering which test to run ๐Ÿค”
โ†ณ Googling "t-test vs ANOVA" for the 10th time ๐Ÿ”
โ†ณ Second-guessing myself in an interview ๐Ÿ˜ฐ

Choosing the wrong statistical test can invalidate your findings and lead to flawed conclusions. โš ๏ธ

Here's your quick reference guide:

๐‚๐จ๐ฆ๐ฉ๐š๐ซ๐ข๐ง๐  ๐Œ๐ž๐š๐ง๐ฌ: ๐Ÿ“Š
โ†ณ 2 independent groups โ†’ Independent t-Test
โ†ณ Same group, before/after โ†’ Paired t-Test
โ†ณ 3+ groups โ†’ ANOVA

๐๐จ๐ง-๐๐จ๐ซ๐ฆ๐š๐ฅ ๐ƒ๐š๐ญ๐š: ๐Ÿ“‰
โ†ณ 2 groups โ†’ Mann-Whitney U Test
โ†ณ Paired samples โ†’ Wilcoxon Signed-Rank Test
โ†ณ 3+ groups โ†’ Kruskal-Wallis Test

๐‘๐ž๐ฅ๐š๐ญ๐ข๐จ๐ง๐ฌ๐ก๐ข๐ฉ๐ฌ: ๐Ÿ”—
โ†ณ Linear relationship โ†’ Pearson Correlation
โ†ณ Ranked/non-linear โ†’ Spearman Correlation
โ†ณ Two categorical variables โ†’ Chi-Square Test

๐๐ซ๐ž๐๐ข๐œ๐ญ๐ข๐จ๐ง: ๐Ÿ”ฎ
โ†ณ Continuous outcome โ†’ Linear Regression
โ†ณ Binary outcome (yes/no) โ†’ Logistic Regression

๐•๐š๐ซ๐ข๐š๐ง๐œ๐ž: โš–๏ธ
โ†ณ Compare spread between groups โ†’ Levene's Test / F-Test

Here are 5 resources to help you: ๐Ÿ“š

1. Khan Academy Statistics: https://lnkd.in/statistics-khan
2. StatQuest YouTube Channel: https://lnkd.in/statquest-yt
3. Seeing Theory (Visual Stats): https://lnkd.in/seeing-theory
4. Statistics by Jim Blog: https://lnkd.in/stats-jim
5. OpenIntro Statistics (Free Textbook): https://lnkd.in/openintro-stats
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