Monday, December 05, 2005

Stratified Random Sampling Method

Example:
-The student council wants to start an intramural sports program. Each of the five members of the council sets out to collect data. John obtains a list of students that he arranges by grade level he plans to randomly select a proportionate number of students from each grade to survey.

Weaknesses:

-Data collection is not quick and easy.

Biases:
-Stratified random sampling is not biase because the entire student population is represented.

that's all...

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