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In this lecture, we will dive deep into Spearman's Rank Correlation, a powerful method used to assess the strength and direction of the relationship between two variables. Unlike Pearson's correlation, Spearman’s rank correlation does not assume that the data is normally distributed, making it an ideal choice for data that is ordinal or when the relationship is not linear. By the end of this session, you will have a solid understanding of how to apply Spearman's rank correlation to your data, interpret its results, and choose the appropriate correlation method for different types of datasets. Don’t forget to like, subscribe, and hit the bell icon for more data science and statistics tutorials! #SpearmanRank #Correlation #DataScience #Statistics 🔔 Don’t forget to Like, Share & Subscribe for more insightful lectures from Vision Health Sciences Publishers! 📢 Follow us for more updates: 🌐 [www.visionbookspublisher.com] Don’t forget to like, subscribe, and hit the notification bell so you never miss a lesson