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Statistics for people who (think they) hate statistics / Neil J. Salkind, University of Kansas.

By: Material type: TextTextEdition: 6 EditionDescription: xxix, 519 pages : illustrations ; 26 cmISBN:
  • 9781506333830 (pbk. : alk. paper)
Subject(s): DDC classification:
  • 519.5 23
LOC classification:
  • HA29 .S2365 2017
Contents:
A note to the student: why I wrote this book -- About the author -- Yippee! I'm in statistics -- Statistics or sadistics? : it's up to you -- Zigma Freud and descriptive statistics -- Means to an end : computing and understanding averages -- Vive la difference : understanding variability -- A picture really is worth a thousand words -- Ice cream and crime : correlation coefficients -- Just the truth : an introduction to understanding reliability and validity -- Taking chances for fun and profit -- Hypotheticals and you : testing your questions -- Are your curves normal? : probability and why it counts -- Significantly different : using inferential statistics -- Significantly significant : what it means for you and me -- Only the lonely: the one-sample z-test -- T(ea) for Two : tests between the means of different groups -- T(ea) for Two (again) : tests between the means of related groups -- Two groups too many? : try analysis of variance -- Two too many factors : factorial analysis of variance?a brief introduction -- Cousins or just good friends? : testing relationships using the correlation coefficient -- Predicting who'll win the super bowl : using linear regression -- Big data (tentative title) -- What to do when you?re not normal : chi-square and some other nonparametric tests -- Some other (important) statistical procedures you should know about -- A statistical software sampler -- Ten things you?ll want to know and remember -- The 10 (or more) best internet sites for statistics stuff -- The 10 commandments of data collection -- Appendix a: spss in less than 30 minutes -- Appendix b: tables -- Appendix c: data sets -- Appendix d: answers to practice questions -- Appendix e: math: just the basics -- Glossary -- Index.
Item type: Research Collection
Holdings
Current library Collection Call number Vol info Status Date due Barcode
Judith Thomas Library Judith Thomas Library Research Section JTL Research Collection HA 29 .S2365 2017 (Browse shelf(Opens below)) AUA21768 Available AUA21768

Revised edition of the author's Statistics for people who (think they) hate statistics, 2014.

Includes bibliographical references and index.

A note to the student: why I wrote this book -- About the author -- Yippee! I'm in statistics -- Statistics or sadistics? : it's up to you -- Zigma Freud and descriptive statistics -- Means to an end : computing and understanding averages -- Vive la difference : understanding variability -- A picture really is worth a thousand words -- Ice cream and crime : correlation coefficients -- Just the truth : an introduction to understanding reliability and validity -- Taking chances for fun and profit -- Hypotheticals and you : testing your questions -- Are your curves normal? : probability and why it counts -- Significantly different : using inferential statistics -- Significantly significant : what it means for you and me -- Only the lonely: the one-sample z-test -- T(ea) for Two : tests between the means of different groups -- T(ea) for Two (again) : tests between the means of related groups -- Two groups too many? : try analysis of variance -- Two too many factors : factorial analysis of variance?a brief introduction -- Cousins or just good friends? : testing relationships using the correlation coefficient -- Predicting who'll win the super bowl : using linear regression -- Big data (tentative title) -- What to do when you?re not normal : chi-square and some other nonparametric tests -- Some other (important) statistical procedures you should know about -- A statistical software sampler -- Ten things you?ll want to know and remember -- The 10 (or more) best internet sites for statistics stuff -- The 10 commandments of data collection -- Appendix a: spss in less than 30 minutes -- Appendix b: tables -- Appendix c: data sets -- Appendix d: answers to practice questions -- Appendix e: math: just the basics -- Glossary -- Index.