Vai trò của tính phương sai và độ lệch chuẩn trong phân tích dữ liệu
Introduction
Variance and standard deviation are fundamental statistical concepts that play a crucial role in understanding and analyzing data. They provide valuable insights into the spread or dispersion of data points within a data set, enabling analysts to make informed decisions and draw meaningful conclusions.
In conclusion, variance and standard deviation are essential statistical measures that quantify data spread or dispersion. Variance, calculated as the average of squared deviations from the mean, provides a raw measure of variability. Standard deviation, the square root of variance, offers a more interpretable representation of data spread. Understanding these concepts is crucial for data analysis, enabling analysts to assess data variability, compare data sets, detect outliers, and perform statistical inference.