Review of Statistics CS 462

Review of Statistics CS 462 - Review of Statistics...

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Review of Statistics – Hypothesis Testing 1. Why is it important to understand statistics? Often used to explain biological systems Used to estimate the probability of a response occurring Provides a measure of the variation in response Increases the likelihood that a recommendation is dependable 2. Scientists have an idea about the response to treatments in biological systems.  This can generally be defined as a  hypothesis.  A foundation of statistical analyses is stating a hypothesis and then developing a viable experiment  to test this hypothesis.  Including appropriate controls is important in the experimental procedure. 3. Example of hypothesis testing:  The researcher needs to determine if there is a difference in yield when comparing  varieties.  The researcher has a hunch that yield of the varieties will differ, and in order to make a  recommendation about the varieties to practitioners (farmers, extension agents, consultants,) an experiment is  established comparing the varieties.  Using appropriate data collected from the experiment, statistics are used to 
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This note was uploaded on 08/01/2008 for the course SSC 462 taught by Professor Havlin during the Spring '08 term at N.C. State.

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Review of Statistics CS 462 - Review of Statistics...

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