Introduction to Sampling Methods

Introduction to Sampling Methods (नमूनाकरण विधियों का परिचय):- Sampling methods are crucial in statistics because they allow researchers to make inferences about a population without studying the entire group. Here's a detailed introduction to the various sampling methods:

(सांख्यिकी में नमूनाकरण विधियाँ महत्वपूर्ण हैं क्योंकि वे शोधकर्ताओं को पूरे समूह का अध्ययन किए बिना किसी जनसंख्या के बारे में अनुमान लगाने की अनुमति देती हैं। यहां विभिन्न नमूनाकरण विधियों का विस्तृत परिचय दिया गया है:)

i. Simple Random Sampling (सरल यादृच्छिक सैंपलिंग):-

Definition (परिभाषा):- Each member of the population has an equal chance of being selected.

(जनसंख्या के प्रत्येक सदस्य के चुने जाने की समान संभावना होती है।)

Process (प्रक्रिया):-

> Assign a number to each member of the population.

(जनसंख्या के प्रत्येक सदस्य को एक संख्या दी जाती है।)

> Use a random number generator or draw lots to select a sample.

(एक यादृच्छिक संख्या जनरेटर का उपयोग करके या लॉटरी द्वारा एक नमूना चुना जाता है।)

Advantages (लाभ):-

> Unbiased representation of the population.

(जनसंख्या का निष्पक्ष प्रतिनिधित्व।)

> Simplicity in implementation.

(इसे लागू करना सरल होता है।)

Disadvantages (हानियाँ):-

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