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Unformatted text preview: Sampling Techniques and Experimental Design Read section 1.2 Random Samples . Section 1.2 discusses several types of sampling techniques, meaning ways to collect data from a sample of the intended population. Here is a simple breakdown of each given technique: Simple random sample (SRS): Using a completely random sample from a population by assigning sequential numbers to each object, then using a number table, computer, or calculator to select random numbers. You could even write numbers on index cards, place them in a hat, and then draw from the hat. The idea is that each number has an equal chance of being drawn and you avoid any bias. A simulation could also be used in some situations, such as the study of highway design, cardiology, forest fires, and electronics. Stratified sampling : For this technique, the population would be placed into subgroups (called strata) based on a specific characteristic. Then, a random sample would be drawn from each subgroup. For example, maybe I am doing a study on the academic success of students based on their eye color. I would first group my population by their eye color then draw a sample from each group. first group my population by their eye color then draw a sample from each group....
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- Spring '10