This text is adapted from Jessica Utts and Robert Heckard’s best-selling general introductory statistics text, Mind on Statistics. It emphasises the conceptual development of statistical ideas and seeks to find meaning in data. This local adaptation retains the conversational approach of the original text, with real examples and case studies of appeal and interest to Australian and New Zealand students. The revised structure and relevant examples motivate students and guide them through the statistical process of tackling problems, planning and data collection, analysing and interpreting information and finding solutions.
New to the Edition
About the Author
- NEW – An introduction to concepts and practice of statistical inference
- NEW chapter signposts to help students navigate the important concepts
- More discipline-specific examples to appeal to mixed cohorts of students
- Updated local and international statistical developments, examples and case studies
- Increased coverage of range of statistical software tips – Excel, SPSS, R and Minitab
university teaching experience extends across many areas of statistical sciences and their applications, across all levels of subjects, all class sizes and many disciplines, particularly engineering and science. Helen was the first female President and first female Honorary Life Member of the Statistical Society of Australia Inc (SSAI) and is now President of the International Association for Statistical Education.
is Professor of Statistics at the University of California at Irvine. She received her B.A. in math and psychology at SUNY Binghamton, and her M.A. and Ph.D. in statistics at Penn State University. Aside from MIND ON STATISTICS, she is the author of SEEING THROUGH STATISTICS and the co-author with Robert Heckard of STATISTICAL IDEAS AND METHODS both published by Cengage Learning. Jessica has been active in the Statistics Education community at the high school and college level. She served as a member and then chaired the Advanced Placement Statistics Development Committee for six years, and was a member of the American Statistical Association task force that produced the GAISE (Guidelines for Assessment and Instruction in Statistics Education) recommendations for Elementary Statistics courses. She is the recipient of the Academic Senate Distinguished Teaching Award and the Magnar Ronning Award for Teaching Excellence, both at the University of California at Davis. She is also a fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the American Association for the Advancement of Science. Beyond statistics education, Jessica’s major contributions have been in applying statistics to a variety of disciplines, most notably to parapsychology, the laboratory study of psychic phenomena. She has appeared on numerous television shows, including LARRY KING LIVE, ABCNIGHTLINE, CNN MORNING NEWS, and 20/20, and most recently appears in a documentary included on the DVD with the movie SUSPECT ZERO.
Robert F. Heckard
is a senior lecturer in statistics at the Pennsylvania State University, where he has taught for more than 30 years. He has taught introductory and intermediate applied statistics to more than 15,000 college students. Bob has been awarded several grants to develop multimedia and web-based instructional materials for teaching statistical concepts. Aside from MIND ON STATISTICS, he is the co-author of STATISTICAL IDEAS AND METHODS (first edition, 2006, Cengage Learning). As a consultant, he is active in the statistical analysis and design of highway safety research and has frequently been a consultant in cancer treatment clinical trials.
1. Thinking Statistically
2. Gathering and preparing useful data
3. Turning data into graphical information
4. Data features and summary statistics
5. Investigating categorical variables and their relationships
6. Probability essentials for data analysis
7. Estimating proportions with confidence
8. Analysis of variance
10. Interval estimation
11. Testing hypotheses about means, proportions and variances in one and two samples
12. More on probability, random variables and distributions
13. Sums and differences of random variables
14. Some further data situations