Question #95420
2 Answers
All in all this question is impossible to answer without properly defining the parameters of the vocabulary used in the question.
Explanation:
In most cases it would be false because all humans are unique, and there are many physical and mental disorders that could counter the sample.
But for example, if the sample of data were to state that one of the human's hearts was beating, then that would be true, considering that all the people in the group were living.
If all of the humans in the group are not necessarily living, then any sample from a group of people will not be representative of the entire group.
All in all this question is impossible to answer without properly defining the parameters of the vocabulary used in the question.
A sample can bear true representative of d population if it exhibits good characteristics of a sample.
Explanation:
The characteristics that can make a sample bear a true representive of d pioulatiin are: d size of d sample compared to d population, method used in sampling, elements that made up d sample, time of sampling, variables under consideration, d design of d research etc. If all d afore listed characteristics are well taken care of, d sample will bear a good representative of d population and d findings of d result can be generalized. The reverse is d case.
When sampling however, one must be very careful not to commit a type 1 or type 2 error.
Type one error is committed when a researcher rejects a true null hypothesis. Type 2 error is committed wen a researcher accept a false null hypothesis as a result of data gather from d sample. Type 1 error is called alpha error and type 2 error is called beta error.
