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1 )Outliers & Missing Data: Answer the following questions:
a. True or False: No
1 )Outliers & Missing Data: Answer the following questions:
a. True or False: Non-random missing data are often times more problematic than random missing data.
b. True or False: A normal practice of dealing with missing data is to eliminate them regardless of the amount as they can introduce severe bias into the results.
c. Use Outlier.sav and identify potential outliers. Provide the reasons of such identification. [Hint: A boxplot might help]
d. Given the sample size in Outlier.sav, what seems to be the most appropriate remedy for the outliers?
3 Scholarly references
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