Learning Outcomes – Data

by Raywat Deonandan, PhD

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    00:00 So what have we learned? We've learned about the two phases of a variable, it's conceptual and operational, very often we forget this very simple fact. We're performing mathematical operations on the operational side of a variable, that it represents something philosophically, don't lose sight of that. We've also learned the difference between the different levels of measurement, the variable that you choose to collect your data for corresponds to a certain level of measurement and that will dictate the kind of analyses you can perform. You've also learned about the normal curve, it's a special case of a frequency distribution, a very special historically important case. We've learned as well that type I and type II errors that are derived from the normal curve dictate when we can decide that something has been statistically significantly proven. Thank you.

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    The lecture Learning Outcomes – Data by Raywat Deonandan, PhD is from the course Data.

    Author of lecture Learning Outcomes – Data

     Raywat Deonandan, PhD

    Raywat Deonandan, PhD

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