A. A statistical instrument is any process that describes phenomena by using any instrument or device however, the results can be used as control. Sample of statistical instruments is questionnaires and sampling surveys.
B. Total population sampling is a type of purposive sampling where the whole population of interest (i.e., a group whose members all share a given characteristic) is studied. It is most practical when the total population is of manageable sizes, such as a well-defined subgroup of a larger population
C. Simple random sampling. In a simple random sample, each member of the population has an equal chance of being selected. ... Systematic sampling. ... Stratified sampling. ... Grouping groups of experiments.
2.
A. The good maximum sample size is usually 10% as long as it does not exceed 1000. The good maximum sample size is usually 10% of the population, as long as it 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.
B. A statistical instrument is any process that aims at describing phenomena by using any instrument or device, however, the results may be used as a control tool. Examples of statistical instruments are questionnaires and survey sampling.
3. The main results should have 95% confidence intervals (CI), and the width of these depends directly on the sample size: large studies produce narrow intervals and, therefore, more precise results. A study of 20 subjects, for example, is likely to be too small for most investigations.
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Answer:
1.
A. A statistical instrument is any process that describes phenomena by using any instrument or device however, the results can be used as control. Sample of statistical instruments is questionnaires and sampling surveys.
B. Total population sampling is a type of purposive sampling where the whole population of interest (i.e., a group whose members all share a given characteristic) is studied. It is most practical when the total population is of manageable sizes, such as a well-defined subgroup of a larger population
C. Simple random sampling. In a simple random sample, each member of the population has an equal chance of being selected. ... Systematic sampling. ... Stratified sampling. ... Grouping groups of experiments.
2.
A. The good maximum sample size is usually 10% as long as it does not exceed 1000. The good maximum sample size is usually 10% of the population, as long as it 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.
B. A statistical instrument is any process that aims at describing phenomena by using any instrument or device, however, the results may be used as a control tool. Examples of statistical instruments are questionnaires and survey sampling.
3. The main results should have 95% confidence intervals (CI), and the width of these depends directly on the sample size: large studies produce narrow intervals and, therefore, more precise results. A study of 20 subjects, for example, is likely to be too small for most investigations.
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