SAMPLING NON SAMPLING METHODS · Sampling and sampling distribution. 1.Prababililty sampling method...

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SAMPLING & NON SAMPLING METHODS Statistics Topic-4

Transcript of SAMPLING NON SAMPLING METHODS · Sampling and sampling distribution. 1.Prababililty sampling method...

  • SAMPLING &

    NON SAMPLINGMETHODS

    Statistics Topic-4

  • Sampling and sampling distribution.

    1.Prababililty

    sampling method

    2.Non -Probability

    sampling method

    1.Simple random sampling.

    2.Stratified random sampling

    3.Systematic random sampling.

    4.Multistage random sampling.

    5.Cluster sampling.

    1.Judgement sampling.

    2.Quata sampling.

    3.Convenience sampling.

    4.Extensive sampling.

    5.Purposive sampling.

    6.Snow fall sampling.

  • 1.Simple random sampling.

    Each and every item of the universe has an equal chance of

    being selected.

    Lottery method-

    Tables of random sampling.

    Tippett's table.

  • 2.Stratified random sampling.

    This method is used when units of the universe are

    heterogeneous .

    steps-

    1.Units of population are divided into different strata.

    2.Then using random sampling , sample items are selected

    form each strata.

    For example-

    1.Units of population are divided into different strata.

    2.Choose equal proportion of the samples from each strata.

  • 1000

    students In

    a

    college.

    200

    Arts

    students

    300

    Commerce

    students

    500

    Science

    students

    10% sample is to be taken on the basis

    of random sampling.

    Then 20 students of arts, 30 commerce

    and 50 students of science are selected

    using random sampling.

    This method assume equal proportion

    of samples chosen from diff. strata.

    So each units has equal chance of

    being selected.

  • 3.Systematic random sampling

    in this method all the items are systematically arranged .

    Then sample units are selected at equal intervals.

    Numerically

    If 10 students are to be selected from 100 .

    First 10 would be selected at random.

    Items can be arrange numerically , alphabetically, and

    geographically,

    Or. Every 10th item selected.

    Or. Every 5th 15th 25th ..95th item selected. Systematically.

  • 4.multi-stage random sampling.

    When sampling procedure passes through many stages .

    Firstly – entire population is divided into stages or sub-

    stages.

    From the each stage some units are selected on random

    sampling basis.

  • To find out the literacy rate of U.P.

    Example-

    Some district will be selected randomly.

    Select tehsil.

    Villages or towns.

    Wards

    household

  • 5.Cluster sampling.

    In this method population is divided into many groups

    called cluster.

    Some clusters are selected on random basis.

    The most common cluster used in research is geographical

    cluster.

    1.He can divide the entire population (population of Delhi) into diff.

    strata(cities)

    2.Then he selects a cluster on random basis.

  • 2.Non -Probability sampling method

    1.Judgement sampling.

    In this method the selection of the sample items depends

    on the judgment of the investigator.

    Investigators exercise his judgment in the choice and

    include those items in the samples which he thinks

    correct.

  • 2.Quata sampling

    In this method , researcher chosen representative

    individual from a group.

    The investigators select the individuals ( sample items) to

    collect information on their personal judgments within

    the quotas.

    Quota sampling is a type of judgment sampling.

  • 3.Convenience sampling.

    In this method investigator select the samples according

    to his choice and convenience.

    Eg- when a researcher collect the data regarding current

    market situation.

    He will choose the market which is near to him.

  • 4.Extensive sampling.

    In this method , sample size is taken almost big as the

    population.

    ie-90% of the population.

    Due to large samples size this method has greater

    accuracy.

  • 5.Purposive sampling.

    In this method researcher selects a sample based on their

    knowledge about the study.

    Researcher will chose the sample according to purpose

    of the study.

    Eg- if a reporter make a report regarding the football

    word cup games by seeking the opinion of the public.

    Then he will select those samples(individuals) who have

    knowledge of football.

  • 6.Snowball sampling

    In this method , research participants recruit other

    participants for a test or study.

    This sampling method is used there are few samples and

    difficult to find.

    It is also known as chain-referral sampling.

    Eg- data from drugs smuggling.

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  • SAMPLING &

    NON SAMPLINGMETHODS

    Statistics Topic-4