#### 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.Â

**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.Â

**Stratified Random SamplingÂ **

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.Â