The director of student life at a university wants to estimate the proportion of undergraduate students who regularly park a car on campus. Describe how to select a stratified random sample of approximately 100 students. Explain your choice of strata and why stratified random sampling might be preferred in this context.

Respuesta :

Random sampling involves selecting a sample where each element of the sample have an equal probability of selection.

From the question, we understand that the director wants to make use of a stratified random sampling technique.

The stratified random sampling technique involves selecting the sample (i.e. 100 students), by dividing the whole undergraduate students into groups (i.e. strata), and then select a proportion from each group.

A possible way to achieve this, is as follows:

  • Divide the undergraduate students in faculties (assume the university has 10 faculties)
  • Then select 10 students from each of the 10 faculties.

With the above highlights, the director would be able to make the selection.

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