This book is specially designed to refresh and elevate the level of understanding of the foundational background in probability
and distributional theory required to be successful in a graduate-level statistics program. Advanced undergraduate students
and introductory graduate students from a variety of quantitative backgrounds will benefit from the transitional bridge that
this volume offers, from a more generalized study of undergraduate mathematics and statistics to the career-focused, applied
education at the graduate level. In particular, it focuses on growing fields that will be of potential interest to future
M.S. and Ph.D. students, as well as advanced undergraduates heading directly into the workplace: data analytics, statistics
and biostatistics, and related areas.