Squared
Techniques for Building Predictive Models
Confirmation
Descriptive Statistics for Business Decisions
Insights from Descriptive Statistics
Clipping
Analyzing Data Relationships
Statistical Modeling
Techniques for Building Predictive Models 
Imbalanced classification problems Mean
Squared Error The average of the squares of the errors, measuring the average squared difference between predicted and actual values
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Confirmation Chi-
Squared Test Tests the association between categorical variables
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Descriptive Statistics for Business Decisions Variance The average of the
squared differences from the mean
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Insights from Descriptive Statistics Range = Max - Min Variance The average of the
squared differences from the mean
...
Clipping Types of Clipping Hard Clipping: This occurs when the signal exceeds the maximum level, and the waveform is
squared off sharply
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Analyzing Data Relationships Chi-
Squared Test: This statistical test evaluates the association between categorical variables
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Statistical Modeling Model Evaluation: Assessing the model's performance using metrics such as R-
squared, mean absolute error (MAE), and root mean square error (RMSE)
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Understanding Predictive Accuracy Root Mean Square Error (RMSE) Square root of the average
squared differences between predicted and actual values
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