Give another example of a bad way to choose a sample that doesn't use voluntary response.

Expert Answers
pohnpei397 eNotes educator| Certified Educator

Another way that you can choose a sample badly (without asking for volunteers) is if you choose a sample that is likely to not be representative of your student body as a whole.

For example, let's say you are trying to determine the average height of students at your school.  If you decide to use the basketball and volleyball teams as your sample, you are likely to get an incorrect average.

Similarly, if you want to measure how much body fat the average student has, you will not get an accurate average if you choose to measure only the cross-country team.


neela | Student

Actually a way of sampling itself should include good as well as bad ways. But here you want particularly a bad way and not depending upon voluntary response. Then you have to make a judgement by their performance  to determine the particular criteria. List those who are judged with the particular charateristic. Then do not choose them. That is the bad way of sampling with full bias.

Not to select any one of from  the list but choosing other than the list is the bad way of sampling, where you are sampling with a bias. Like that detrmining the sample with bias, or external influence or suggestions without sound principle, not selecting the right characteristic  or selecting the wrong characteristic are all bad ways of choosing a sample.

krishna-agrawala | Student

A voluntary response sample results when the respondent to a survey or a study choose themselves to participate in the survey in response to a general appeal. A sample of this type is generally a biased one because usually people with certain psychological make up or facing some specific situation in terms of accessibility or availability are more likely to respond. When a sample is chosen for a survey by a researcher, specific care can be taken to eliminate any systematic bias. A bad way of drawing a sample is one in which there are greater chances of the sample being biased. For example if for a survey to study the IQ of students in a class, the sample consists of all the students sitting in the front row in the class, it is possible that all these students that prefer the front row have similar type of behaviour in terms of their study pattern and interest. Therefor a sample like this has high probability of being a biased one and therefore a bad sample.