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    Annotated Bibliography

    Number of Pages: 11

     

    Summary of the research paper:

    This 11 page paper is an annotated bibliography of 18 sources that all look at issues concerning research methodology and statically analysis with a couple of sources that contain information of business and marketing. The paper gives all the publishing details of the sources.

    Name of Research Paper File: TS14_TEbibstats.rtf

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    Unformatted Sample Text from the Research Paper:
    been cited in several later books as a passing reference. The aim of the book is to show how statistics can be used to support arguments from both a mathematical  and psychological perspective. The paper starts by looking at the way claims may be made the shows different statistical tools that can be used to measure any claims. The main  value of this book are the lessons in the way to use and present statistics, showing when to be suspicious of them, including too greater divergence and where there appears  to be too great a correlation. The book then presents how credible and interesting arguments can be put together with the different characteristics that can hold interest and add  integrity. The book makes numerous citations OF other books and papers. 2. Cohen, J. (1989). Statistical Power Analysis for the Behavioural Sciences. Hillsdale, NJ: Erlbaum. 10 Industrial Avenue,  Mahwah, New Jersey 07430, Tel 201-258-2200 or 1-800-9-BOOKS-9, ISBN: 0805802835 Publishers web cite is http://www.erlbaum.com/ME2/Default.asp Jacob Wilhelm Cohen has been writing book and papers on statistical analysis alone and in  collaboration with others, often as the lead author, since the 1960s. This is the second edition of a book first published in 1969 and has numerous updates as well as  many citation in other works, both tutorial and research papers, for example it is cited in SPSS Survival Manual by Julie Pallant published by the Open University Press. This book  in an in-depth presentation of how to undertake different types of power analysis with both the basic principles and the applications of how it is used with usually statistical testing  giving the student a practical guide on the good and bad ways that statistical analysis can be used and misused. 3. Curwin J, Slater R (2001), Quantitative Methods for 

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