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The first pair and the second pair look similar while the two pairs look differnet, right? The question is how can we KNOW if two sets are truly (significantly) different or not?

The first pair and the second pair look similar while the two pairs look differnet, right? The question is how can we KNOW if two sets are truly (significantly) different or not?

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7]: fig, ax = plt.subplots() data_d.plot.hist(density=False, ax=ax, title='Histogram: Set1 and Setl samples vs. Set2 and Set2 samples', bins=40) data.plot.hist (density=False, ax=ax, bins=40) ax.set_ylabel('Count') ax.grid(axis='y') Count Histogram: Set1 and Set1 samples vs. Set2 and Set2 samples 35 30 25 20 15 10 600 500 400 300 5 200 0 100 0 100 Use boxplots to compare the four sets. Discuss their differences. 0 200 8]: fig = plt.figure(figsize =(10, 7)) plt.boxplot ([set1, set1_s, set2, set2_s],1, '') plt.show() 300 400 500 Setls Set2s Set1 Set2 2 600 3 The first pair and the second pair look similar while the two pairs look differnet, right? The question is how can we KNOW if two sets are truly (significantly) different or not?
Transcribed Image Text:7]: fig, ax = plt.subplots() data_d.plot.hist(density=False, ax=ax, title='Histogram: Set1 and Setl samples vs. Set2 and Set2 samples', bins=40) data.plot.hist (density=False, ax=ax, bins=40) ax.set_ylabel('Count') ax.grid(axis='y') Count Histogram: Set1 and Set1 samples vs. Set2 and Set2 samples 35 30 25 20 15 10 600 500 400 300 5 200 0 100 0 100 Use boxplots to compare the four sets. Discuss their differences. 0 200 8]: fig = plt.figure(figsize =(10, 7)) plt.boxplot ([set1, set1_s, set2, set2_s],1, '') plt.show() 300 400 500 Setls Set2s Set1 Set2 2 600 3 The first pair and the second pair look similar while the two pairs look differnet, right? The question is how can we KNOW if two sets are truly (significantly) different or not?
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