# Explain each sampling technique discussed in the “Visual Learner: Statistics” in your own words

Hello i need a good and positive comment related with this argument .A paragraph  with no more  90 words.

Debbieann Hylton

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Re:Topic 2 DQ 2

Explain each sampling technique discussed in the “Visual Learner: Statistics” in your own words, and give examples of when each technique would be appropriate.

1.   Random Sampling:  When an individual is selected randomly to be part of a   survey.       Ex. After our patients are seen by their provider, one of the patient is asked to fill out a rate your experience form.

2.   Stratified Sampling:  Based on different characteristics a given population is divided into smaller groups.      Ex. A population divided into ethnic groups when trying to find out how many are in college.

3.   Systematic Sampling: It is based on selecting samples on a system interval with a chosen area to start.    Ex. Selecting every 7th patients leaving the clinic

4.   Cluster Sampling: A group of young people divided into sections and randomly selecting an area to surveyed. Ex. At church we made four groups to discuss a topic, but choosing one group to be surveyed.

5.   Convenience Sampling: Selecting a group of people that you know, in order for the results to be collected easily    Ex. Surveying, friends, family or co-workers.