answersLogoWhite

0

What else can I help you with?

Related Questions

A mistake of hasty generalizing in which the generalizing comes from a non-representative biased sample?

Biased generalization


The act of generalizing from a sample that is significantly different from the target population and relevant respects?

Biased sample


Why is it important for a sample to be representative?

It is important for a sample to be representative, so that the whole population's view is counted, and not biased by one particular group within the population.


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.


Is a biased sample always valid?

a biased sample is valid determin


What is the definition of biased sample for math?

A biased sample is a Statistical Sample in which the sample is biased or have more samples of the things that is being influenced.


Why is it important for a sample to b representative?

A representative sample is crucial because it accurately reflects the characteristics of the larger population, allowing for valid inferences and generalizations. If a sample is biased or unrepresentative, the results may lead to incorrect conclusions and undermine the reliability of the research. This is particularly important in studies that inform policy decisions, marketing strategies, or scientific research, where flawed data can have significant consequences. Ultimately, a representative sample enhances the credibility and applicability of the findings.


Advantages of census over sample survey?

It is more accurate, unbiased and includes every item in the population, whereas sampling may be biased, and sampling is not totally representative.


Samplea sample that does not fairly represent the population?

Biased sample


Is a biased sample valid?

No because in statistics a biased collection of data is invalid.


What are the risks attached to generalizing research findings?

Generalizing research findings can lead to inaccuracies if the sample is not representative of the broader population, potentially skewing results and conclusions. This can result in the misapplication of findings to contexts where they do not apply, leading to ineffective or harmful interventions. Additionally, it may overlook important variations and nuances within subgroups, undermining the validity of the research. Thus, careful consideration of the context and limitations of the study is essential before generalizing outcomes.