+1 862 207 3288 Apply your knowledge about proper use of tables and charts, and use of numerical descriptive measures in this case about the claims of
foresight and excellence by a Springville investment service.
You are one of the Investment Committee members of the University of Rochester Endowment. One of the committee members has recently
recommended using the StockTout as one of the Endowment Fund Managers. The committee is meeting next Friday to make a decision on the
recommendation. Visit the StockTout Home Investing Service Web site*. Review their investment claims and supporting data and then
answer the following:
1. How does the presentation of the general information about StockTout on its home page affect your perception of their business?
2. Is their claim about having more winners than losers a fair and accurate reflection about the quality of their investment
service? If you do not think that their claim is a fair and accurate one, provide an alternate presentation that you think is fair and
accurate.
3. StockTout’s “Big Eight” mutual funds are part of the sample found in the FundsSample.xls** file. Is there any other relevant
data from the file that could have been included in the Big Eight table? How would that new data alter your perception of StockTout’s
claim?
4. StockTout is proud that all “Big Eight” funds have gained in value over the past five years. Do you agree that they should be
proud of their selections? Why or why not?
5. Can descriptive measure be computed for any variables? How would such summary statistics support StockTout’s claims? How
would those summary statistics affect your perception of StockTout’s record?
6. Evaluate the methods StockTout used to summarize the results of its customer survey.*
https://bblearn.nau.edu/bbcswebdav/pid-4108145-dt-content-rid-33617103_1/courses/1161-NAU00-ECO-321-SEC001-3249.NAU-
PSSIS/ba321WebCT/Case 2 StockTout I/StockTout.htm
https://bblearn.nau.edu/bbcswebdav/pid-4108145-dt-content-rid-33617103_1/courses/1161-NAU00-ECO-321-SEC001-3249.NAU-
PSSIS/ba321WebCT/Case 2 StockTout I/downloads/FundsSample.xls
https://bblearn.nau.edu/bbcswebdav/pid-4108145-dt-content-rid-33617103_1/courses/1161-NAU00-ECO-321-SEC001-3249.NAU-
PSSIS/ba321WebCT/Case 3 StockTout II/ST_Survey.htm
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