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Descriptive statistics provide a snapshot of variables. They describe quantitative data by presenting the average or typical case. These types of descriptive statistics are called measures of central tendency. You can also describe data by showing how much the cases are spread out or clustered together. These types of statistics are called measures of dispersion. Measures of central tendency and measures of dispersions can be useful descriptors on their own, or they can be used as “building blocks” for more advanced statistics.
Neither approach (measures of central tendency or measures of dispersion) is superior to the other. They are often used in combination with each other to provide a fuller description of variables. For this week’s Discussion, you will consider which type of descriptive statistics (measures of central tendency or measures of dispersion) would be useful in describing the information you need to evaluate the program, problem, or policy you selected for your Final Project.
Review the Learning Resources for this week. Consider the types of descriptive statistics that would help answer your research question.
Post a description of the descriptive statistics that might work well for the Evaluation Design in your Final Project. Explain how these statistics could be used, and justify why they are appropriate.
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