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Bias in sampling primarily arises when the sampling method fails to incorporate randomization, leading to an unrepresentative sample. If certain individuals or groups have a higher likelihood of being selected than others, this can skew the results and create bias. For example, if a survey is conducted only in one region of a country, the data will be biased toward the characteristics of that region and may not accurately reflect the views of the entire population. Random sampling techniques are designed to minimize bias by giving every member of the population an equal chance of being selected. Why Other Options Are Incorrect: • A: A large sample size alone does not cause bias; it can help reduce the impact of random errors. • C: Collecting data from an inappropriate population may lead to misinterpretation, but it does not necessarily result from biased sampling methods. • D: While incorrect analysis can lead to errors, it is not a direct cause of bias in the sample selection. • E: Missing data can affect analysis but does not necessarily introduce bias in sample selection.
The major maize producing districts in Rajasthan are -
Which earthquake measuring scale is based on Earth's rigidity and the amount and area of slip on the fault?
Which of the following is not correctly matched?
Norman Borlaug was given Nobel Prize in which field?
Which of the following pairs of State and formation year is/are correct?
I. Nagaland - 1972
II. Uttarakhand - 2000
III. Arunachal Pradesh - 1987
A. his subjects wisely
B. was a very kind and generous
C. king who looked after
D. everyone said that he
Where has the Constitution Park been inaugurated in Rajasthan by President Draupadi Murmu?
Which blood cells are called 'Soldiers' of the body?
What is the range of the intensity scale used in measuring earthquakes?