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Random sampling is a probability-based technique where every individual in the population has an equal chance of being selected. This ensures the sample is unbiased and representative of the population. It’s widely used in experimental research where statistical accuracy is essential. On the other hand, non-random sampling (such as convenience sampling or judgment sampling) does not guarantee that every individual has an equal chance of being chosen, which can lead to selection bias and less reliable results. Option A is incorrect because random sampling is typically more accurate in representing the population than non-random sampling. Option C is incorrect because non-random sampling does not guarantee that the sample is representative; it often introduces bias. Option D is incorrect as random sampling is used for both small and large populations, depending on the context and feasibility. Option E is incorrect because neither random nor non-random sampling inherently relies on algorithms to select samples; it depends on the method used for selection.
The Government of India has taken a historic decision to reduce the rate of contribution under the ESI Act from 6.5% to _____?
What was the theme of World Wetland Day 2019?
Pin Valley National Park is located in which state?
Who was the first female judge appointed to the Supreme Court of India.
The International Youth Day is observed every year on which date and what was the theme for the year 2019?
Adhai Din Ka Jhonpra", a historical mosque, is located in which Indian state?
Which soil type is most favorable for tea cultivation?
India recently signed a Bilateral Investment Treaty (BIT) with which country to safeguard investor interests?
पूर्वोत्तर के किस राज्य को वर्ष 2022 के राष्ट्रीय खेलों की म�...
When is World Population Day observed?