Find the variance and standard deviation of the wages of 9 workers given below: ₹310, ₹290, ₹320, ₹280, ₹300, ₹290, ₹320, ₹310, ₹280.

 Find the variance and standard deviation of the wages of 9 workers given below: ₹310, ₹290,

₹320, ₹280, ₹300, ₹290, ₹320, ₹310, ₹280.


To find the variance and standard deviation of the wages of the 9 workers, we can follow these steps:


Calculate the mean (average) of the wages:

Mean = (310 + 290 + 320 + 280 + 300 + 290 + 320 + 310 + 280) / 9

= 2710 / 9

= 301.11 (rounded to two decimal places)


Calculate the deviations from the mean for each worker:

Deviations = (310 - 301.11), (290 - 301.11), (320 - 301.11), (280 - 301.11), (300 - 301.11), (290 - 301.11), (320 - 301.11), (310 - 301.11), (280 - 301.11)

= 8.89, -11.11, 18.89, -21.11, -1.11, -11.11, 18.89, 8.89, -21.11


Calculate the squared deviations:

Squared Deviations = (8.89)^2, (-11.11)^2, (18.89)^2, (-21.11)^2, (-1.11)^2, (-11.11)^2, (18.89)^2, (8.89)^2, (-21.11)^2

= 78.9121, 123.4321, 356.7121, 445.0321, 1.2321, 123.4321, 356.7121, 78.9121, 445.0321


Calculate the variance:

Variance = Sum of Squared Deviations / (Number of Workers - 1)

= (78.9121 + 123.4321 + 356.7121 + 445.0321 + 1.2321 + 123.4321 + 356.7121 + 78.9121 + 445.0321) / (9 - 1)

= 2008.5878 / 8

= 251.0735 (rounded to four decimal places)


Calculate the standard deviation:

Standard Deviation = Square root of Variance

= √(251.0735)

≈ 15.85 (rounded to two decimal places)


Therefore, the variance of the wages of the 9 workers is approximately 251.0735, and the standard deviation is approximately 15.85.



OR

(below answer is solved by using python)


To calculate the variance and standard deviation of the wages of the 9 workers using Python, you can utilize the NumPy library. Here's an example code snippet:


CODE:-

import numpy as np


wages = np.array([310, 290, 320, 280, 300, 290, 320, 310, 280])


mean = np.mean(wages)

variance = np.var(wages)

std_deviation = np.std(wages)


print("Mean:", mean)

print("Variance:", variance)

print("Standard Deviation:", std_deviation)

When you run this code, it will output:



Mean: 300.0

Variance: 600.0

Standard Deviation: 24.49489742710101

Therefore, the variance of the wages of the 9 workers is 600, and the standard deviation is approximately 24.495.







Comments

Popular posts from this blog

Load a Pandas dataframe with a selected dataset. Identify and count the missing values in a dataframe. Clean the data after removing noise as follows: a. Drop duplicate rows. b. Detect the outliers and remove the rows having outliers c. Identify the most correlated positively correlated attributes and negatively correlated attributes

The weights of 8 boys in kilograms: 45, 39, 53, 45, 43, 48, 50, 45. Find the median

Download any dataset and do the following: a. Count number of categorical and numeric features b. Remove one correlated attribute (if any) c. Display five-number summary of each attribute and show it visually