Percentiles And Quartiles In Statistics | Percentiles And Quartiles Explained | Simplilearn

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Master Percentiles and Quartiles in Statistics in this video by Simplilearn. Unravel the mysteries of data distribution and spread with our latest video on Percentiles and Quartiles.📈 Strengthen your statistical foundation and elevate your data analysis skills! Watch now! 👇

- In statistics, a percentile is a measure that indicates the relative position of a particular data point within a dataset. It represents the percentage of data points that are equal to or below the given value. For example, if a data point is at the 80th percentile, it means that 80% of the data points in the dataset are equal to or below that value.
- In statistics, quartiles divide a dataset into four equal parts, each containing about 25% of the data. Q1 is the 25th percentile, Q2 is the median (50th percentile), and Q3 is the 75th percentile. Quartiles help understand data spread and identify outliers.

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