Question 4 (6 points) Sample data is collected in ExamScores.csv that includes s

Question

Question 4 (6 points)

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. The professor is interested in finding out whether the average scores in at least one of the four exams is different at 5% level of significance using ANOVA. Which of the following Python lines can be used to perform this test?

Question 4 options:

import scipy.stats as st
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']]
print(st.f_oneway(exam1_score, exam2_score, exam3_score, exam4_score))

import scipy.stats as st
import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(st.f_oneway(scores))

import scipy.stats as st
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']]
print(st.anova(exam1_score, exam2_score, exam3_score, exam4_score))

import scipy.stats as st
scores = pd.read_csv('ExamScores.csv')
exam1_score = scores[['Exam1']]
exam2_score = scores[['Exam2']]
exam3_score = scores[['Exam3']]
exam4_score = scores[['Exam4']]
print(st.f_oneway(exam1_score, exam2_score, exam3_score, exam4_score))

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Question 5 (6 points)

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 5 options:

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.pyplot as plt
scores = pd.read_csv('ExamScores.csv')
fig = plt.figure()
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')
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')

Save

import scipy.stats as st
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']]
print(st.f_oneway(exam1_score, exam2_score, exam3_score, exam4_score))

import scipy.stats as st
import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(st.f_oneway(scores))

import scipy.stats as st
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']]
print(st.anova(exam1_score, exam2_score, exam3_score, exam4_score))

import scipy.stats as st
scores = pd.read_csv('ExamScores.csv')
exam1_score = scores[['Exam1']]
exam2_score = scores[['Exam2']]
exam3_score = scores[['Exam3']]
exam4_score = scores[['Exam4']]
print(st.f_oneway(exam1_score, exam2_score, exam3_score, exam4_score))

Explanation / Answer

Question 4:
Ans:
import scipy.stats as st
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']]
print(st.anova(exam1_score, exam2_score, exam3_score, exam4_score))

Question 5
Ans:

import pandas as pd
import matplotlib.pyplot as plt
scores = pd.read_csv('ExamScores.csv')
fig = plt.figure()
fig.savefig('test.png')

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