02765cam a2200373 a 450000100090000000300040000900500170001300800410003001000170007101500190008801500190010701600180012601600180014402000250016202000220018702000250020902000220023403500240025604000550028004200140033505000210034908200180037010000190038824500650040726000330047230000320050550400660053750506880060352005900129152002780188152001740215965000160233365000420234915803910OSt20200306182056.0090706s2010    caua     b    001 0 eng d  a  2009932061  aGBA9B68882bnb  aGBA9A94022bnb7 a0154341202Uk7 a0154158212Uk  a9781849200981 (pbk.)  a184920098X (pbk.)  a9781849200974 (hbk.)  a1849200971 (hbk.)  a(OCoLC)ocn441152711  aUKMcUKMdYDXCPdBWKdWIQdC#PdBWXdCDXdLHUdDLC  alccopycat00aHA29b.B848 201004a519.5 BUR2221 aBurdess, Neil.10aStarting statistics :ba short, clear guide /cNeil Burdess.  aLos Angeles :bSAGE,cc2010.  ax, 187 p. :bill. ;c25 cm.  aIncludes bibliographical references (p. [180]-183) and index.0 aWelcome to Starting Statistics -- Pt. I. Measurement -- 1. Introducing measurement -- 2. Measuring numbers -- 3. Measuring categories -- Pt. II. Standardisation -- 4. Introducing standardisation -- 5. Standardising categories -- 6. Standardising numbers -- Pt. III. Correlations -- 7. Introducing correlat ions -- 8. Correlations between categories -- 9. Correlations between numbers -- Pt. IV. Sampling and estimation -- 10. Introducing sampling -- 11. Estimating numbers -- 12. Estimating categories -- Pt. V. Hypothesis testing -- 13. Introducing hypothesis testing -- 14. Hypotheses about categories -- 15. Hypotheses about numbers -- 16. Hypotheses about categories and numbers.  a"Statistics: A Short, Clear Guide is an accessible, humorous and easy introduction to statistics for social science students." "In this refreshing book, experienced author and academic Neil Burdess shows that statistics are not the result of some mysterious "black magic", but rather the result of some very basic arithmetic. Getting rid of confusing x's and y's, he shows that it's the intellectual questions that come before and after the calculations that are important: (i) What are the best statistics to use with your data? and (ii) What do the calculated statistics tell you?" "  aStatistics: A Short, Clear Guide aims to help students make sense of the logic of statistics and to decide how best to use statistics to analyse their own data. What's more, it is not reliant on students having access to any particular kind of statistical software package.  aThis is a very useful book for any student in the social sciences doing a statistics course or needing to do statistics for themselves for the first time."--BOOK JACKET. 0aStatistics. 0aSocial sciencesxStatistical methods.