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sample is the population we make our study about them.

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13y ago

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What effect does non-random sample have on what you can say about the results of a study?

It means that the results of the study cannot be claimed to hold for the entire population from which the sample was drawn. The researchers can only claim that their results hold for the individuals selected into their sample.


If you want to have a scientifically valid sample for a study you are doing?

To achieve a scientifically valid sample for your study, ensure that your sample is representative of the population you are investigating. This can be done through random sampling methods, which help eliminate bias and improve generalizability. Additionally, determine an appropriate sample size using statistical power analysis to ensure that your findings are reliable. Finally, consider stratifying your sample to account for key demographic variables that may influence the results.


When there is as likely a chance that any one member of the population will be selected for participation in a study the sample is considered?

When there is an equal chance for each member of the population to be selected for participation in a study, the sample is considered to be a random sample. This method helps ensure that the sample is representative of the population, reducing bias and allowing for more generalizable results. Random sampling is a fundamental principle in statistical research techniques.


What are the factors for determining the sample design?

In the process of developing a sampling design for this study, there are some critical factors you should consider. Explain five of these factors.


What should you take into considersation when selecting a sample for study?

When selecting a sample for a study, consider the target population to ensure it accurately represents the characteristics you want to investigate. Additionally, think about the sample size, as a larger sample can improve the reliability and validity of the results. It's also essential to consider sampling methods (random, stratified, etc.) to minimize bias and ensure that the sample reflects the diversity of the population. Lastly, ethical considerations, such as informed consent and confidentiality, should be taken into account.