Please note, the dataset provided is a sample of the original (HUGE DATASET)

USE PYTHON investigate whether the difference in avg_number for different class_types is significant by performing independent samples t-tests for the average number of each combination of class types using alpha = 0.01. Which class types are significantly different in terms of class type? Do your conclusions change if you perform Bonferroni correction to the alpha level? (hint: you can use (from itertools import combinations) with scipy.stats.ttest ind) class_types first second third fourth first second fourth first second third fourth first second fourth avg_number 51565.0 54598.356 87.215 5400.0 54.0 85.0 805.236 10.2365 504.98 200.236 890.001 7852.0 59.0 0236.0 USE PYTHON investigate whether the difference in avg_number for different class_types is significant by performing independent samples t-tests for the average number of each combination of class types using alpha = 0.01. Which class types are significantly different in terms of class type? Do your conclusions change if you perform Bonferroni correction to the alpha level? (hint: you can use (from itertools import combinations) with scipy.stats.ttest ind) class_types first second third fourth first second fourth first second third fourth first second fourth avg_number 51565.0 54598.356 87.215 5400.0 54.0 85.0 805.236 10.2365 504.98 200.236 890.001 7852.0 59.0 0236.0