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Anonymous

Hi,

Attached is the assignment.

Requirements :

4 pages excluding references.

Thanks

Assignment:
1. Explain why the standard deviation would likely not be a reliable measure of variability for a
distribution of data that includes at least one extreme outlier.
2. Suppose that you collect a random sample of 250 salaries for the salespersons employed by a
large PC manufacturer. Furthermore, assume that you find that two of these salaries are
considerably higher than the others in the sample. Before analyzing this data set, should you delete
the unusual observations? Explain why or why not.
3. If two variables are highly correlated, does this imply that changes in one cause changes in the
other? If not, give at least one example from the real world that illustrates what else could cause a
high correlation.
4. Suppose you have data on student achievement in high school for each of many school districts.
In spreadsheet format, the school district is in column A, and various student achievement measures
are in columns B, C, and so on. If you find fairly low correlations (magnitudes from 0 to 0.4, say)
between the variables in these achievement columns, what exactly does this mean?
Assignment:
1. Explain why the standard deviation would likely not be a reliable measure of variability for a
distribution of data that includes at least one extreme outlier.
2. Suppose that you collect a random sample of 250 salaries for the salespersons employed by a
large PC manufacturer. Furthermore, assume that you find that two of these salaries are
considerably higher than the others in the sample. Before analyzing this data set, should you delete
the unusual observations? Explain why or why not.
3. If two variables are highly correlated, does this imply that changes in one cause changes in the
other? If not, give at least one example from the real world that illustrates what else could cause a
high correlation.
4. Suppose you have data on student achievement in high school for each of many school districts.
In spreadsheet format, the school district is in column A, and various student achievement measures
are in columns B, C, and so on. If you find fairly low correlations (magnitudes from 0 to 0.4, say)
between the variables in these achievement columns, what exactly does this mean?
...

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