Sampling versus Complete Enumeration

Sampling versus Complete Enumeration (नमूनाकरण बनाम पूर्ण गणना):- In statistics, sampling and complete enumeration are two different approaches to collecting data from a population. Here's a detailed comparison:

(सांख्यिकी में, नमूनाकरण और पूर्ण गणना किसी जनसंख्या से डेटा एकत्र करने के दो अलग-अलग दृष्टिकोण हैं। यहां एक विस्तृत तुलना दी गई है:)

Complete Enumeration (Census) (पूर्ण गणना):- Complete enumeration, also known as a census, involves collecting data from every single member of the population. This method ensures that no individual or unit is left out, leading to a complete dataset.

(पूर्ण गणना, जिसे जनगणना भी कहा जाता है, का मतलब है कि जनसंख्या के हर एक सदस्य से डेटा एकत्र करना। यह विधि सुनिश्चित करती है कि कोई भी व्यक्ति या इकाई छूट न जाए, जिससे एक संपूर्ण डेटासेट प्राप्त होता है।)

Key Features (मुख्य विशेषताएँ):-

i. Accuracy (सटीकता):- Since every unit of the population is surveyed, the data is theoretically free from sampling error.

(चूंकि जनसंख्या की हर इकाई का सर्वेक्षण किया जाता है, इसलिए सैद्धांतिक रूप से डेटा में नमूना त्रुटि नहीं होती है।)

ii. Cost (लागत):- It is often very expensive and time-consuming because it requires substantial resources, such as manpower, time, and money, to gather data from the entire population.

(यह अक्सर बहुत महंगा और समय लेने वाला होता है क्योंकि इसमें पूरी जनसंख्या से डेटा एकत्र करने के लिए काफी संसाधनों की आवश्यकता होती है, जैसे कि जनशक्ति, समय और पैसा।)

iii. Feasibility (व्यवहार्यता):-

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