Sample data is collected in ExamScores.csv that includes scores in four exams in

Question

Sample data is collected in ExamScores.csv that includes scores in four exams in a class. The variables are called Exam1, Exam2, Exam3, and Exam4. After ANOVA is performed on exam data, the professor is interested in plotting boxplots to identify the exam that has a significantly different average exam score. Which of the following Python lines can be used to complete this task?

Question options:

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
exam1_score = scores[['Exam1']]
exam2_score = scores[['Exam2']]
exam3_score = scores[['Exam3']]
exam4_score = scores[['Exam4']]
data = [exam1_score, exam2_score, exam3_score, exam4_score]
fig = plt.figure()
ax = fig.add_subplot(111)
ax.boxplot(data)
fig.savefig('test.png')

import pandas as pd
import matplotlib
matplotlib.use('agg')
import matplotlib as mpl
import matplotlib.pyplot as plt
scores = pd.read_csv('ExamScores.csv')
fig = plt.figure()
ax = fig.add_subplot(111)
ax.boxplot(scores)
fig.savefig('test.png')

import pandas as pd
import matplotlib
matplotlib.use('agg')
import matplotlib as mpl
import matplotlib.pyplot as plt
scores = pd.read_csv('ExamScores.csv')
exam1_score = scores[['Exam1']]
exam2_score = scores[['Exam2']]
exam3_score = scores[['Exam3']]
exam4_score = scores[['Exam4']]
data = [exam1_score, exam2_score, exam3_score, exam4_score]
fig = plt.figure()
ax = fig.add_subplot(111)
ax.boxplot(data)
fig.savefig('test.png')

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
exam1_score = scores[['Exam1']]
exam2_score = scores[['Exam2']]
exam3_score = scores[['Exam3']]
exam4_score = scores[['Exam4']]
data = [exam1_score, exam2_score, exam3_score, exam4_score]
fig = plt.figure()
ax = fig.add_subplot(111)
ax.boxplot(data)
fig.savefig('test.png')

import pandas as pd
import matplotlib
matplotlib.use('agg')
import matplotlib as mpl
import matplotlib.pyplot as plt
scores = pd.read_csv('ExamScores.csv')
fig = plt.figure()
ax = fig.add_subplot(111)
ax.boxplot(scores)
fig.savefig('test.png')

import pandas as pd
import matplotlib
matplotlib.use('agg')
import matplotlib as mpl
import matplotlib.pyplot as plt
scores = pd.read_csv('ExamScores.csv')
exam1_score = scores[['Exam1']]
exam2_score = scores[['Exam2']]
exam3_score = scores[['Exam3']]
exam4_score = scores[['Exam4']]
data = [exam1_score, exam2_score, exam3_score, exam4_score]
fig = plt.figure()
ax = fig.add_subplot(111)
ax.boxplot(data)
fig.savefig('test.png')

Explanation / Answer

The second code is correct. Other two are giving error.

import pandas as pd
import matplotlib
matplotlib.use('agg')
import matplotlib as mpl
import matplotlib.pyplot as plt
scores = pd.read_csv('ExamScores.csv')
fig = plt.figure()
ax = fig.add_subplot(111)
ax.boxplot(scores)
fig.savefig('test.png')

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