Offers an introduction to the main statistical procedures used in the social and behavioural sciences. Including descriptive statistics, graphs, t-tests, oneway ANOVAs, Chi-square, and simple linear regression, this title covers some advanced topic areas and additional examples to help students confidently progress through their studies.
'This engagingly written and nicely opinionated book is a blend of friendly introduction and concisely applicable detail. No-one can recall every statistical formula, but if they have this book they will know where to look' - Professor Jon May, University of Plymouth. 'This is one of the best books I have come across for teaching introductory statistics. The illustrative examples are engaging and often humorous and the explanations of 'difficult' concepts are written in a wonderfully clear and intuitive way' - Nick Allum, University of Essex. "First (and Second) Steps in Statistics, Second Edition" provides a clear and concise introduction to the main statistical procedures used in the social and behavioural sciences and is perfect for the statistics student starting their journey. The rationale and procedure for analyzing data are presented through exciting examples with an emphasis on understanding rather than computation. It is ideally suited for introductory courses in statistics given its gentle beginning, yet progressive treatment of topics.; In addition to descriptive statistics, graphs, t-tests, oneway ANOVAs, Chi-square, and simple linear regression, this Second Edition now includes some new, more advanced topic areas as well as a host of additional examples to help students confidently progress through their studies and apply the techniques in lab work, reports and research projects. This new edition includes such key features as: the reoganization of the first three chapters giving more attention to univariate statistics and providing more examples to work through at this level; more advanced 'second step' content that has been added on factorial ANOVA and multiple regression; and, the robust methods chapter from the first edition that is now spread throughout the book, and is linked with common teaching practices. Many more examples have been added to enhance the book's practical potential. It also includes a host of exercises as well as further reading sections at the end of every chapter. An accompanying Web page includes information for each chapter using the statistical packages SPSS and R.
Univariate Statistics 1: Histograms and Boxplots Univariate Statistics 2: The Mean and Standard Deviation Univariate Statistics 3: Proportions and Bar Charts Sampling and Allocation Inference and Confidence Intervals Hypothesis Testing: /f003t/f001 tests and Alternatives Comparing More than Two Groups or More than Two Variables Regression and Correlation Factorial ANOVAs and Multiple Regression Categorical Data Analysis