Random sampling is a probability-based technique in which every member of the population has an equal likelihood of being included in the sample. This ensures the sample is representative and that the results can be generalized to the entire population with known levels of accuracy. Random sampling eliminates bias by giving each participant an equal chance, reducing selection biases that can occur in non-random methods. Techniques like simple random sampling or systematic random sampling are common examples of this. Non-random sampling, on the other hand, involves methods where certain individuals may have a higher or lower chance of being selected, which may introduce selection bias. Why Other Options Are Incorrect: • A: Random sampling does not rely on convenience; instead, it aims to randomly select individuals. • B: Non-random sampling does not guarantee equal probability for selection. • D: Sample sizes are not inherently larger in non-random sampling; size is determined by the specific methodology. • E: Both random and non-random sampling can be used for qualitative and quantitative data, depending on the research design.
Which of the following pea variety is resistant to Powdery mildew?
Which of the following animal has longest gestation period:
Chromosomal aberration in which two breaks occur in a chromosome and the intercalary segment reunites in a reverse order is categorised as
Arrange the following steps in the correct sequence for implementing an agricultural extension programme
(A). Developing extension materials
...The oil content in Groundnut is:
According to Mass Flow Hypothesis the sugar is moved in the form of ____into the companion cells and then into the living phloem sieve tube cells by...
Rice inflorescence is known as:
Which of the following is a bacterial disease?
Panchayati Raj was started on the recommendation of ……………. Committee
Water logging in soil favors production of