Introduces basic concepts in probability and statistics to data science students, as well as engineers and scientists. Aimed at undergraduategraduate-level engineering and natural science students, this timely, fully updated edition of a popular book on statistics and probability shows how real-world problems can be solved using statistical concepts. It removes Excel exhibits and replaces them with R software throughout, and updates both MINITAB and JMP software instructions and content. A new chapter discussing data mining?including big data, classification, Machine Learning, and visualization?is featured. Another new chapter covers cluster analysis methodologies in hierarchical, nonhierarchical, and model based clustering.