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  <controlfield tag="008">090416s2010    enk      b    001 0 eng  </controlfield>
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    <subfield code="a">  2009016104</subfield>
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  <datafield tag="020" ind1=" " ind2=" ">
    <subfield code="a">9780132042543 (pbk. : alk. paper)</subfield>
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  <datafield tag="050" ind1="0" ind2="0">
    <subfield code="a">GV558</subfield>
    <subfield code="b">.N475 2010</subfield>
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  <datafield tag="082" ind1="0" ind2="0">
    <subfield code="a">613.7/1</subfield>
    <subfield code="2">22</subfield>
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  <datafield tag="100" ind1="1" ind2=" ">
    <subfield code="a">Newell, John,</subfield>
    <subfield code="c">Dr.</subfield>
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  <datafield tag="245" ind1="1" ind2="0">
    <subfield code="a">Statistics for sports and exercise science /</subfield>
    <subfield code="c">John Newell, Tom Aitchison, Stanley Grant.</subfield>
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  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="a">Harlow, England :</subfield>
    <subfield code="b">Pearson Education Limited,</subfield>
    <subfield code="c">c2010.</subfield>
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  <datafield tag="263" ind1=" " ind2=" ">
    <subfield code="a">0910</subfield>
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  <datafield tag="300" ind1=" " ind2=" ">
    <subfield code="a">p. cm.</subfield>
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  <datafield tag="504" ind1=" " ind2=" ">
    <subfield code="a">Includes bibliographical references and index.</subfield>
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  <datafield tag="505" ind1="0" ind2=" ">
    <subfield code="a">Discovering statistics -- Why bother with statistics in sports science? -- The basic approach -- Some basic vocabulary -- More on variables -- Some underlying ideas -- Examples of case studies -- Summary -- Designing a study -- Introduction -- Collecting the data (sampling) -- Sources of variablility -- Other important issues in designing a study -- Summary -- Summarising and displaying data -- Introduction -- Numerical summaries for continuous variables -- Graphical methods for continuous variables -- Single-sample problems (independent data) -- Designs involving between-subject factors only -- Within-subject designs (dependent data) -- Designs with between- and within-subject factors -- Between-subject designs incorporating a covariate -- Modelling relationships (correlation and regression) -- Summary -- Technical appendix -- Estimating parameters -- Introduction -- Interval estimation -- Interval estimation for a population mean -- Comparing two population means (the simplest between-subject design) -- Interval estimation for paired data (the simplest within-subject design) -- One between- and one within-subject factor (each at two levels) -- Prediction and tolerance intervals -- What if the normality assumption is questionable? -- Summary.</subfield>
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    <subfield code="a">Sports sciences</subfield>
    <subfield code="x">Statistical methods.</subfield>
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    <subfield code="a">Sports sciences</subfield>
    <subfield code="x">Research.</subfield>
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    <subfield code="a">Aitchison, Tom.</subfield>
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    <subfield code="a">Grant, Stanley.</subfield>
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  <datafield tag="963" ind1=" " ind2=" ">
    <subfield code="a">Pauline Gillett; phone: +44-1279 623119; fax: +44-1279 623866; email: pauline.gillett@pearson.com; bc: pauline.gillett@pearson.com</subfield>
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    <subfield code="c">30442</subfield>
    <subfield code="d">264942</subfield>
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