Page 287 - AI Ver 3.0 Class 11
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MEAN (Frequency Distribution Series) Direct Method
1. Find mid values m= (l + l )/2
Wages m= f fm 1 2
(x) (l + l )/2 2. Find fm
1
2
0 – 100 50 2 100 3. Find ∑ fm and ∑ f
100 – 200 150 1 150 4. Apply formula
200 – 300 250 3 750 X = ∑ fm
300 – 400 350 3 1050 ∑ f
400 – 500 450 1 450 2500
=
∑f =10 ∑fm= 2500 10
= 250
Mean Calculation using Python
Program 1: To calculate the mean weight of 25 students.
50.5, 55.2, 60.3, 65.8, 70.1, 75.6, 80.4, 85.7, 90.2, 95.5, 50.3, 55.8, 60.1, 65.4, 70.9, 75.2, 80.6, 85.3, 90.8, 95.1,
50.7, 55.9, 60.5, 65.2, 70.4
import statistics
# List of weights for 25 students
weights = [50.5, 55.2, 60.3, 65.8, 70.1, 75.6, 80.4, 85.7, 90.2, 95.5,
50.3, 55.8, 60.1, 65.4, 70.9, 75.2, 80.6, 85.3, 90.8, 95.1,
50.7, 55.9, 60.5, 65.2, 70.4]
# Calculate the mean weight using statistics.mean()
mean_weight = statistics.mean(weights)
# Print the mean weight
print("Mean weight of 25 students is:", mean_weight)
Output:
Mean weight of 25 students is: 70.46
Median
The median is a measure of central tendency that represents the middle value in a dataset when the values are
arranged in ascending or descending order. It divides the dataset into two equal halves, with half of the values being
less than the median and half being greater.
Data Literacy—Data Collection to Data Analysis 285

