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By reducing the number of data to the minimum needed to describe the sample, eliminates the redundancy, and reduces time and costs associated with another data set that may be in the thousands. This is called descriptive statistics because the mass of raw data is transformed into a meaningful form (Lind, 2004). This can be accomplished by describing the central data point, the spread, and the shape (University of Phoenix, 2008). In this particular test, the interest rests in the cell phones’ crushing resistance. The measured variables are in pounds per square inch (PSI). The resistance of the first batch was recorded as: 50, 36, 34, 45, 56, 42, 53, 25, 65, 33, 40, 42, 39, 43, 42...
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