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Topic: Data Literacy D1.1 – Sampling Techniques

Ontario Curriculum Expectation:

5.D1.1 explain the importance of various sampling techniques for collecting a sample of data that is representative of a population.

Use the following techniques to find a sample that can represent the population without bias.

Simple Random Sampling

Randomly select subject but make sure everyone in the population has an equal chance of being selected.

For example: the principal can randomly pick 80 students to send a survey home with them but when the 80 students are picked, they must be selected randomly and make sure each student has an equal chance to be picked. 


Systematic Random Sampling

Randomly select subjects with a systematic approach.

For example: the principal can use a list of all students and randomly pick 1 student out of 10 students. 


Stratified Random Sampling 

The population is divided into different groups and randomly pick a sample population from each group to make sure each group is represented.

For example: the principal can randomly pick 10 students from each of the 8 grades. This will make sure each grade is represented in the survey.