Question 2 (3 points) Which of the following Python lines calculates the mean of

Question

Question 2 (3 points)

Which of the following Python lines calculates the mean of two variables called Exam1 and Exam2 from a CSV file called ExamScores that contains four variables: Exam1, Exam2, Exam3, and Exam4?

Question 2 options:

a)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(scores[['Exam1', 'Exam2']].mean())

b)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(scores[['Exam1', 'Exam2']].median())

c)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(mean[['Exam1', 'Exam2']])

d)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(scores('Exam1', 'Exam2').mean())

Question 3 (3 points)

Which of the following Python lines calculates the mode of variables Exam1 from a CSV file called ExamScores that contains four variables: Exam1, Exam2, Exam3, and Exam4?

Question 3 options:

a)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(scores[['Exam1']].mode())

b)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(scores[['Exam4']].mode())

c)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(ExamScores[['Exam1']].mode())

d)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(scores[['Exam1']].mean())

Question 4 (3 points)

Which of the following Python lines reads a CSV file called ExamScores into a data frame called scores?

Question 4 options:

a)

import pandas as pandas
scores = pd.read_csv('ExamScores.csv')

b)

scores = pd.read_csv('ExamScores.csv')

c)

import pandas as pd
ExamScores = pd.read_csv('scores.csv')

d)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')

Question 5 (3 points)

Which of the following Python lines calculates the variance of variables Exam1 and Exam4 from a CSV file called ExamScores that contains four variables: Exam1, Exam2, Exam3, and Exam4?

Question 5 options:

a)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(scores[['Exam1','Exam4']].var())

b)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(var[['Exam1','Exam4']])

c)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(var[[scores]])

d)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(var[['Exam1','Exam4']].scores())

Question 6 (3 points)

Which of the following Python lines prints the 25th, 50th, and 75th percentiles of all variables from a CSV file called ExamScores that contains four variables; Exam1, Exam2, Exam3, and Exam4?

Question 6 options:

a)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(scores[['Exam1','Exam4']].describe())

b)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(scores.describe())

c)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(describe.scores())

d)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(scores.percentiles())

Question 8 (3 points)

Which of the following Python lines calculates the standard deviation of variables Exam1 and Exam4 from a CSV file called ExamScores that contains four variables: Exam1, Exam2, Exam3, and Exam4?

Question 8 options:

a)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(std[['Exam1','Exam4']])

b)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(scores[['Exam1','Exam4']].std())

c)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(std[['Exam1','Exam4']].scores())

d)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(scores[['Exam1']].std())

Question 9 (3 points)

Which of the following Python lines calculates the median of all variables from a CSV file called ExamScores that contains four variables: Exam1, Exam2, Exam3, and Exam4?

Question 9 options:

a)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(ExamScores.median())

b)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(scores.median())

c)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(scores.mean())

d)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(scores[['Exam1', 'Exam2']].median())

#2 is selected by accident i need answers for all this. Please help.

a)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(scores[['Exam1', 'Exam2']].mean())

b)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(scores[['Exam1', 'Exam2']].median())

c)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(mean[['Exam1', 'Exam2']])

d)

import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(scores('Exam1', 'Exam2').mean())

Explanation / Answer

Below is the solution:

Question 2 (3 points)
Answer: a)
import pandas as pd #import pandas package
scores = pd.read_csv('ExamScores.csv') #read ExamScore.csv file and store in scores
print(scores[['Exam1', 'Exam2']].mean()) # print the mean of Exam1,Exam2 using the mean() function from pandas package

Question 3 (3 points)
Answer: a)
import pandas as pd #import pandas package
scores = pd.read_csv('ExamScores.csv') #read ExamScore.csv file and store in scores
print(scores[['Exam1']].mode()) # print the mode of Exam1 using the mode() function from pandas package

Question 4 (3 points)
Answer: d)
import pandas as pd #import pandas package
scores = pd.read_csv('ExamScores.csv') #read ExamScore.csv file and store in scores using pd pandas reference

Question 5 (3 points)
Answer: import pandas as pd #import pandas package
scores = pd.read_csv('ExamScores.csv') #read ExamScore.csv file and store in scores
print(scores[['Exam1','Exam4']].var()) # print the mode of Exam1,Exam4 using the var() function from pandas package

Question 6 (3 points)
Answer: b)
import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(scores.describe())

Question 8 (3 points)
Answer: b)
import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(scores[['Exam1','Exam4']].std())

Question 9 (3 points)
Answer: d)
import pandas as pd
scores = pd.read_csv('ExamScores.csv')
print(scores[['Exam1', 'Exam2']].median())

mean(),median(),mode(),std(),var(),describe() are the function of pandas package

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