0
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
Add your answer:
Earn +20 pts
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) ;)
What type of research is a representative random sample of people asked to answer questions about behaviors or attitudes in psychology?
This type of research is called a survey study. Researchers use surveys to collect self-reported data from a sample of individuals to understand behaviors, attitudes, beliefs, or opinions in psychology. The goal is to generalize the findings from the sample to the broader population from which it was drawn.
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.
