This book covers all relevant pocket calculator statistical methods, making it an ideal resource for those who wish to understand statistics but have no time for complex mathematics. It helps facilitate data analysis by detailing pocket calculator methods.

The core principles of statistical analysis are too easily forgotten in today's world of powerful computers and time-saving algorithms. This step-by-step primer takes researchers who lack the confidence to conduct their own analyses right back to basics, allowing them to scrutinize their own data through a series of rapidly executed reckonings on a simple pocket calculator. A range of easily navigable tutorials facilitate the reader's assimilation of the techniques, while a separate chapter on next generation Flash prepares them for future developments in the field. This practical volume also contains tips on how to deny hackers access to Flash internet sites. An ideal companion to the author's co-authored works on statistical analysis for Springer such as Statistics Applied to Clinical Trials, this monograph will help researchers understand the processes involved in interpreting clinical data, as well as being a necessary prerequisite to mastering more advanced statistical techniques.

The principles of statistical analysis are easily forgotten in today's world of time-saving algorithms. This step-by-step primer takes researchers back to basics, enabling them to examine their own data through a series of sums on a simple pocket calculator.

Inhalt

Chapter 1: Introduction. Chapter 2: Standard deviation. Chapter 3: T-tests. Chapter 4: Non-parametric tests. Chapter 5: Confidence interval. Chapter 6: Equivalence testing. Chapter 7: Power-equations. Chapter 8: Sample size. hapter 9: Non-inferiority testing. Chapter 10: Z-test for cross-tabs. Chapter 11: Chi-square test for cross-tabs. Chapter 13: Odds ratios. Chapter 12: Log likelihood ratio tests. Chapter 14: McNemar's t-test. Chapter 15: Bonferroni t-test. Chapter 16: Variability analysis. Chapter 17: Confounding. Chapter 18: Interaction. Chapter 19: Duplicate standard deviation for reliability assessment of continuous data. Chapter 20: Kappas for reliability assessment of binary data. Final remarks. Index