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, Frame, Response rate defined to be intemaUy homogeneous with respect to socio-economic data and to be roughly equal in size. The strata covered the 50 states, the District of Columbia, and Puerto Rico. Measures of size were mostly based on 1980 population. The measure of size was updated for those areas that had a b s o significant numbers of the elderly during the 80s. Large metropolitan areas such as New York and Los Angeles constituted their own strata and were selected with certainty. Fr.
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The number 30 is often used as a rule of thumb for a minimum sample size in statistics because it is the point at which the central limit theorem begins to apply.
In statistics, a sample is an analytic subset of a larger population. The use of samples allows researchers to conduct their studies with more manageable data and in a timely manner. Randomly drawn samples do not have much bias if they are large enough, but achieving such a sample may be expensive and time-consuming.
The choice of probability sampling method to be used in a study depends on the objective of the study, heterogeneity of characteristics of individuals in the study population and also the feasibility of getting study participants in terms of cost, time and manpower.
As a general rule one would always want a sample size of at least 30. Without 30 or more the central limit theory does not apply so inference is rather difficult. 30 is a minimum more is generally perfered. The minimum sample size depends on the test you are doing and the error you can tolerate.
A good maximum sample size is usually around 10% of the population, as long as this does not exceed 1000. For example, in a population of 5000, 10% would be 500. In a population of 200,000, 10% would be 20,000. This exceeds 1000, so in this case the maximum would be 1000.
4. GENERAL SAMPLING CONSIDERATIONS the reasons for and objectives of sampling. the relationship between accuracy and precision. the reliability of estimates with varying sample size. the determination of safe sample sizes for surveys. the variability of data. the nature of stratification and its impact on survey cost.
The size of a population is a critical factor in making sampling choices. One should have knowledge of the size of the population before making sampling choices. More resources and a larger sample size may be necessary to study a large population than to study a small population.
Selection of appropriate statistical method depends on the following three things: Aim and objective of the study, Type and distribution of the data used, and Nature of the observations (paired/unpaired).
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