Statistical Methods for the Information Professional : A Practical, Painless Approach to Understanding, Using, and Interpreting Statistics

Contents: Preface. 1. Getting started --recognizing the types of data. 2.  Avoiding manual calculations and formula Manipulations--using software. 3. First look using graphs to see the characteristics of data. 4. Summarizing messy data into neat figures--descriptive statistics. 5. What is statistically significant? Basic concepts of Inferential statistics. 6. How to collect data--sampling methods. 7. Examining relationships for nominal and ordinal data--chi-square test. 8. Examining relationships for interval and ratio data--correlation and regression. 9. Are two samples significantly different?--t test. 10. Are three or more samples significantly different?--Analysis of variance. 11. When data do not behave --using nonparametric tests. 12. When should I use which test?. 13. Getting sophisticated--a taste of some advanced statistical methods. Appendices. Bibliography. Index.