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Yes, a convenience sample is often unrepresentative of the larger group because it is drawn from a subset of the population that is easiest to reach, rather than randomly selected. This can lead to biases, as the sample may not reflect the diversity or characteristics of the entire population. Consequently, any conclusions drawn from a convenience sample may not be generalizable to the broader group.

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Is a convenience survey unrepresentative of a larger group?

Yes, a convenience survey is often unrepresentative of a larger group because it relies on a non-random sample that is easily accessible to the researcher. This can lead to biased results, as the sample may not reflect the diversity or characteristics of the entire population. Consequently, conclusions drawn from such surveys may not be generalizable to the broader group.


A convenience sample will usually result in?

under coverage


Which of these is usually true of a convenience sample?

It excludes those who are indifferent.


What is a usually true of a convenience sample?

Type your answer heA.under-coveragere...


Difference between random sample and convenience sample?

random sample is a big sample and convenience sample is small sample


Under coverage may result from a?

Convenience sample


Is it true or false that a convenience sample usually consist of respondents with strong opinions?

Yes


One weakness of self selected sample?

it is non-random and prone to bias unrepresentative of target population


What is a convenience sample in math?

convenience sampling consists of two or more sample events.


What is a convenience sample?

a sample that is conveniant. Such as voting. the sample is conveniant because it elects leaders


What is Convenience sample?

a sample that is conveniant. Such as voting. the sample is conveniant because it elects leaders


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.