Introduction to Statistical Investigations, 1st Edition leads readers to learn about the process of conducting statistical investigations from data collection, to exploring data, to statistical inference, to drawing appropriate conclusions. The text is designed for a one-semester introductory statistics course. It focuses on genuine research studies, active learning, and effective use of technology. Simulations and randomization tests introduce statistical inference, yielding a strong conceptual foundation that bridges students to theory-based inference approaches. Repetition allows students to see the logic and scope of inference. This implementation follows the GAISE recommendations endorsed by the American Statistical Association.
The text is designed for a one-semester introductory statistics course. It focuses on genuine research studies, active learning, and effective use of technology.
Introduction to Statistical Investigations 1st Edition National Custom Course Card with WorkBook Set
The text is designed for a one-semester introductory statistics course. It focuses on genuine research studies, active learning, and effective use of technology.
Introduction to Statistical Investigations, Binder Ready Version leads students to learn about the process of conducting statistical investigations from data collection, to exploring data, to statistical inference, to drawing appropriate...
Introduction to Statistical Investigations 1st Edition National Custom Course WileyPLUS LMS Card Workbook Set
The nocturnal African dung beetle (Scarabaeus satyrus) is known to use celestial objects (e.g., sun, moon) to help it move along straighter (quicker) paths so its dung does not get stolen. But, what if it's the middle of the night and ...
This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it.
An Intermediate Course with Examples in S-Plus, R, and SAS Richard M. Heiberger, Burt Holland. (Steel and Torrie, 1960) Steel, R. G. D. and ... (Westfall and Rom, 1990) Westfall, P. H. and Rom, D. (1990). Bootstrap stepdown testing with ...
In those situations it is very sensible to replace the covariance criterion with the unit free Pearson's correlation coefficient. That goal results in CCA, which was named by Hotelling (1936), who as noted at the beginning of this ...
This book presents some of the most important modeling and prediction techniques, along with relevant applications.