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Math Help - text: A Second Course in Statistics Regression Analysis -(6th edition)

  1. #1
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    Question text: A Second Course in Statistics Regression Analysis -(6th edition)

    Hi anyone currently using this text :

    A Second Course in Statistics Regression Analysis -(6th edition) - by William Mendenhall, Terry L. Sincich ?
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  2. #2
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    Whydayaask?

    Dear Hazel,

    You might sooner get a response if you stated the reason for your query. Why waste your and everyone else's time with "moves" that could have been condensed out of the equation, as it were?

    I don't own the book yet but was thinking of purchasing it. If you feel that it is not a good textbook, then I would be interested in knowing why.

    Thanks,
    algaebrae
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  3. #3
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    Post solution guide

    i got the text but it's a secondhard - i need the solutions guide to this text to do self-study.
    i am tired of asking, and its extremely demoralising so with the step by step guide, i can just figure out myself and clarify if necessary.

    yes, this is a good text, easy to read, has good layout.
    very systematic, with examples.
    if you or anyone who has it, pls help, else thanks for reading.
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  4. #4
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    I bought the book!

    Hazel,

    I just bought the book, also used, but it will be some time before I will be able to provide any feedback/ help, because I have to do a lot of reviewing of the material before I even understand it myself/ reacquaint myself with the subject matter. However, I believe that there are solution manuals available for this textbook.

    Why not just go through the first chapter, step by step, making sure that you have mastered the theory there, before you proceed further?

    A solution manual is a good thing when used as feedback (sets you straight when you err, encourages you when you got it right) on one's own effort, but is an inadequate crutch if you attempt to use it as a short-cut to getting through a course with minimal effort. Or maybe I'm just old-fashioned!
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  5. #5
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    Nov 2009
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    Why is the rationale that r^2 adj will always be smaller than r^2 ?
    (see text page 184)
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