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    ​Match List - I with List - II.​List – I (Research phrase/word)List – II (Meaning)(A) Sampling frame(I) It contains properly identified population ele
    Question

    Match List - I with List - II.

    List – I (Research phrase/word)

    List – II (Meaning)

    (A) Sampling frame

    (I) It contains properly identified population elements which are available for the researcher at any stage of sample elements selection process.

    (B) Sample Unit

    (II) It occurs when a sample is not properly representing the population characteristics. 

    (C) Sampling error

    (III) It contains some elements of the population.

    (D) Sample

    (IV) It is a single member of the sample.

    Choose the correct answer from the options given below:

    A.

    (A)-(I), (B)-(II), (C)-(III), (D)-(IV)

    B.

    (A)-(II), (B)-(IV), (C)-(III), (D)-(I)

    C.

    (A)-(II), (B)-(IV), (C)-(I), (D)-(III)

    D.

    (A)-(I), (B)-(IV), (C)-(II), (D)-(III)

    Correct option is D

    (A) Sampling Frame → (I)

    • A sampling frame is a list or database from which a sample is drawn.

    • It contains all the population elements that are available for sampling. It ensures accuracy and inclusiveness during the selection of the sample.

    • An incomplete or outdated sampling frame may cause coverage error.

    (B) Sample Unit → (IV)

    • A sample unit is the smallest individual unit eligible for selection in a sampling process.

    • It is a single member of the sample, such as one student, one household, or one voter.

    • Proper identification of sample units ensures clarity and consistency in sampling.

    (C) Sampling Error → (II)

    • Sampling error is the difference between sample results and true population parameters.

    • It occurs when the selected sample does not accurately represent the entire population’s characteristics. It is a natural part of sampling.

    • Larger sample sizes and better sampling techniques reduce sampling error.

    (D) Sample → (III)

    • A sample is a subset of a population selected for study.

    • It contains some elements of the population and is used to make inferences about the whole.

    • If well-chosen, a sample provides reliable results at a lower cost and time than a full population study.

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