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If your research sample resembles the population to which you wish to generalize we say that it is?
Wiki User
∙ 13y ago
representative
Wiki User
∙ 13y ago
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Which of these best describes why it is so important to have a representative sample?
To generalize results from the sample population to the target population.
Statistical reasoning can help us to generalize correctly from?
a sample to population. (you're welcome) ;)
A common error where people generalize information to the population based on too small of a sample size?
Hasty generalizing
What is the advantage of inferential statistic?
Inferential statistics is concerned with making predictions or inferences about a population from observations and analyses of a sample. That is, we can take the results of an analysis using a sample and can generalize it to the larger population that the sample represents. In order to do this, however, it is imperative that the sample is representative of the group to which it is being generalized.
When using data from population genetics research the sample must be?
The sample must have a high probability of representing the population.
If your research sample resembles the population to which you wish to generalize we say that is?
representative
Which of these best describes why it is so important to have a representative sample?
To generalize results from the sample population to the target population.
What can statistical reasoning help us to generalize correctly from?
A Sample to a Population
Statistical reasoning can help us to generalize correctly from?
a sample to population. (you're welcome) ;)
A common error where people generalize information to the population based on too small of a sample size?
Hasty generalizing
Why is sample preferred to population in research?
.representative
What is the advantage of inferential statistic?
Inferential statistics is concerned with making predictions or inferences about a population from observations and analyses of a sample. That is, we can take the results of an analysis using a sample and can generalize it to the larger population that the sample represents. In order to do this, however, it is imperative that the sample is representative of the group to which it is being generalized.
What is a biased sample?
A biased sample is a sample that is not random. A biased sample will skew the research because the sample does not represent the population.
What is a biased?
A biased sample is a sample that is not random. A biased sample will skew the research because the sample does not represent the population.
When using data from population genetics research the sample must be?
The sample must have a high probability of representing the population.
Why inferential statistics is not required in census?
Inferential statistical methods are used when data is collected from a sample in the population. Inferential statistics are used to generalize the results of the sample to the population. In a census you have data from each and every member of the population, so you just use descriptive statistics.
What is the relationship between the problem statement and the research design?
Sample design and research design are two closely related concepts in research methodology, and the two are often interdependent. Research design refers to the overall plan or strategy for conducting research, including the selection of research methods, data collection procedures, and data analysis techniques. The research design is typically determined by the research question and the purpose of the study. Sample design, on the other hand, refers to the process of selecting a sample from a larger population for research or data analysis. The sample is a subset of the population that is selected to represent the population's characteristics accurately. The sample design is determined by the research question, the research design, and the population's characteristics. The relationship between sample design and research design is that the sample design is a critical component of the research design. The research design determines the overall approach to the study, while the sample design determines the specific subset of the population that will be studied. The research design guides the selection of research methods, data collection procedures, and data analysis techniques, while the sample design determines the size of the sample, the sampling method, and the criteria for inclusion in the sample. The sample design must be aligned with the research design to ensure that the sample represents the population's characteristics accurately and that the results are valid and reliable. Therefore, sample design and research design are interdependent and must be carefully considered when conducting research to ensure that the results are meaningful and accurate.
