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Statistics 154 Notes 8/25

by: Amanda Selly

Statistics 154 Notes 8/25 STATS 154

Amanda Selly
Minnesota State University, Mankato

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About this Document

Here are the notes from class today!
Elementary Statistics
Kyle Zachrich
Class Notes
25 ?




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This 2 page Class Notes was uploaded by Amanda Selly on Thursday August 25, 2016. The Class Notes belongs to STATS 154 at Minnesota State University - Mankato taught by Kyle Zachrich in Winter 2016. Since its upload, it has received 13 views. For similar materials see Elementary Statistics in Statistics at Minnesota State University - Mankato.

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Date Created: 08/25/16
Elementary Statistics Notes Amanda Selly August 25, 2016 Observational Study: the study is conducted simply by observing what is occurring naturally. A researcher will watch what's going on in the world, collect data and make conclusions based on them without manipulating or interfering with the situation. Experimental Study: The researches want to know something specific, like the effect of a certain drug or how their product impacts peoples lives. They decide on the variable they want to test and make sure everything else is constant and see how their manipulation effects the outcome. Cluster Sampling: In cluster sampling we divide the entire population into smaller groups and use a few of these groups as our sample. This happens when we are unsure of the proportions     So lets say we're   testing middle schools, each box would represent one school and then our sample would include just a few selected schools to represent all of them.   Multi- Stage Sampling: Multi-stage sampling is a similar sampling technique as cluster sampling however it is divided more than once.   We have divided the   entire population into three subgroups   and we want our sample to have people from each group. So we take our sample from the people in each subgroup of the entire population   Convenience Sampling: This is the lazy mans sampling. You just ask the people around you regardless of the outside population. Its just whoever happens to be around which mean there is a great deal of bias and unrepresentitive data.


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