Google Professional Machine Learning Engineer
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In the context of preparing data for machine learning models, understanding the distribution of data is crucial for selecting appropriate preprocessing steps. Specifically, detecting skewness in the data distribution can influence decisions on whether to apply transformations like log or square root to normalize the data. Given this scenario, which of the following statistical measures is specifically designed to detect skewness in the distribution of data? (Choose one correct option)
Explanation:
The Skewness coefficient is the correct choice as it directly measures the asymmetry of a data distribution. It helps in identifying whether the data is skewed to the left (negative skewness), skewed to the right (positive skewness), or symmetric (zero skewness). This understanding is crucial for selecting appropriate statistical methods for analysis.
Understanding the skewness of your data is essential for accurate analysis and modeling, making the skewness coefficient the most relevant measure among the options provided.