Basic Statistics: A Worktext

This worktext was written not only for business, arts, and science students but also for students in the health science programs. Students with no high-level mathematics background and professionals who are non-mathematics majors will be able to read and fully understand its contents and answer correctly the exercises placed at the end of every chapter. The objective of the authors is to explain the basic concepts of statistics and teach how to perform the various statistical procedures that are necessary to understand different literatures and reports in journals, research papers, periodicals, and books. Actual life data are contained in the sample problems and detailed solutions are presented. This material was divided into three parts (Descriptive Statistics, Inferential Statistics, and Special Topics) to guide the students in the research process. It contains a summarized discussion of the concepts in inferential statistics. Commonly used statistical tools in research, like hypothesis testing, F-test or ANOVA, Pearson r, Chi-square, and regression analysis, are all found in this material. The authors intend to guide the readers in determining the appropriate statistical tool and how to use it in writing any statistical paper. The last part includes probability and probability theory and health care statistics. This part provides a discussion on probability, especially on the techniques of counting, permutation, combination, and other probability axioms and theories. Students in the health science programs are advised to refer to this part when dealing with problems on basic health care statistics and analysis.