Quantitative Reasoning

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  • #29305

    erika
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    Hi am a Human Service student. Math relates in my career by using graph to determine how a community may be affected by decision made on political issues. For instance, how stop and frisk can affect minority in our community. Also graph can help us determine what school are suffering from lack of school aid, and how to help the student. Human Service deals with helping the community and in order to better help them we most know the percentage of people living in that community. For instance, the New York Census use math to determine number of immigrant’s in New York. Social worker can then use this data to know basic information. Like what langue should be use in public applications.
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