Principles Of Managerial Statistics And Data Science

Introduces  readers to the principles of managerial statistics and data science,  with an emphasis on statistical literacy of business students   

Through  a statistical perspective, this book introduces readers to the topic of  data science, including Big Data, data analytics, and data wrangling.  Chapters include multiple examples showing the application of the  theoretical aspects presented. It features practice problems designed to  ensure that readers understand the concepts and can apply them using  real data. Over 100 open data sets used for examples and problems come  from regions throughout the world, allowing the instructor to adapt the  application to local data with which students can identify. Applications  with these data sets include:

• Assessing if searches during a police stop in San Diego are dependent on driver’s race
• Visualizing the association between fat percentage and moisture percentage in Canadian cheese
• Modeling taxi fares in Chicago using data from millions of rides
• Analyzing mean sales per unit of legal marijuana products in Washington state

Topics covered in Principles of Managerial Statistics and Data Science include:data  visualization; descriptive measures; probability; probability  distributions; mathematical expectation; confidence intervals; and  hypothesis testing. Analysis of variance; simple linear regression; and  multiple linear regression are also included. In addition, the book  offers contingency tables, Chi-square tests, non-parametric methods, and  time series methods. The textbook: 

• Includes academic material usually covered in introductory  Statistics courses, but with a data science twist, and less emphasis in  the theory
• Relies on Minitab to present how to perform tasks with a computer
• Presents and motivates use of data that comes from open portals
• Focuses on developing an intuition on how the procedures work
• Exposes readers to the potential in Big Data and current failures of its use
• Supplementary  material includes: a companion website that houses PowerPoint slides;  an Instructor's Manual with tips, a syllabus model, and project ideas; R  code to reproduce examples and case studies; and information about the  open portal data  
• Features an appendix with solutions to some practice problems

Principles of Managerial Statistics and Data Science is  a textbook for undergraduate and graduate students taking managerial  Statistics courses, and a reference book for working business  professionals.