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#Statistics test performance on mid-term and final above = [27, 18] average = [32, 25] below = [8, 36] data = (above, average, below) alpha = 0.05 import statsmodels.stats.oneway as oneway oneway.anova_oneway( (above, average, below) , use_var = 'equal') #negative attitude is more than the positive #p-value is more than 0.05 level of significance, accept the null hypothesis