2. The variable college readiness in Question 1 has skewness = 0.8 (SE = 0.5), and kurtosis = 1.2 (SE = 0.7). code example

Example: graph skewness detection

#checking for skewness
numerical_features=[feature for feature in df.columns if df[feature].dtypes!='object']
for feature in numerical_features:
    if feature=='class(target)':
        pass
    else:
    
        
        df[feature].hist()
        plt.xlabel(feature)
        plt.show()