The mean value is the arithmetic mean or average, which is computed by the sum of observations divided by the number of observations. It is sensitive to outliers and noise, with the result that whenever uncommon or unusual values are added to a group, its mean gets deviated from the typical central value. Assume x1, x2, . . . , x N is N observations. The formula for the mean of these values is shown here:
Let's compute the mean value of the communication skill score column using the pandas library, as follows:
# Import pandas library
import pandas as pd
# Create dataframe
sample_data = {'name': ['John', 'Alia', 'Ananya', 'Steve', 'Ben'],
'gender': ['M', 'F', 'F', 'M', 'M'],
'communication_skill_score': [40, 45, 23, 39, 39],
'quantitative_skill_score': [38, 41, 42, 48, 32]}
data = pd...