which are the main qualities of sample
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- A sample is a smaller, manageable version of a larger group. It is a subset containing the characteristics of a larger population. Samples are used in statistical testing when population sizes are too large for the test to include all possible members or observations. A sample should represent the whole population and not reflect bias toward a specific attribute.
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☞︎︎︎ (1)Goal-oriented :-
- A sample design should be goal oriented. It is means and should be oriented to the research objectives and fitted to the survey conditions.
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☞︎︎︎ (2) Accurate representative of the universe:-
- A sample should be an accurate representative of the universe from which it is taken. There are different methods for selecting a sample. It will be truly representative only when it represents all types of units or groups in the total population in fair proportions. In brief sample should be selected carefully as improper sampling is a source of error in the survey.
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☞︎︎︎ (3) Proportional :-
- A sample should be proportional. It should be large enough to represent the universe properly. The sample size should be sufficiently large to provide statistical stability or reliability. The sample size should give accuracy required for the purpose of particular study.
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☞︎︎︎ (4) Random selection:-
- A sample should be selected at random. This means that any item in the group has a full and equal chance of being selected and included in the sample. This makes the selected sample truly representative in character.
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☞︎︎︎ (5) Economical :-
- A sample should be economical. The objectives of the survey should be achieved with minimum cost and effort.
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☞︎︎︎ (6) Practical :-
- A sample design should be practical. The sample design should be simple i.e. it should be capable of being understood and followed in the fieldwork.
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☞︎︎︎ (7) Actual information provider :-
- A sample should be designed so as to provide actual information required for the study and also provide an adequate basis for the measurement of its own reliability.
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A sample is a smaller, manageable version of a larger group. It is a subset containing the characteristics of a larger population. Samples are used in statistical testing when population sizes are too large for the test to include all possible members or observations. A sample should represent the whole population and not reflect bias toward a specific attribute.
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