



Schaum's Outline of Theory and Problems of Probability (2nd Edition)Schaum's Outline of Probability, Second Edition, focuses on noncalculus probability theory, making it ideal for humanities and science majors who study practical statistics for problem solving. This popular Schaum's study guide provides new material on descriptive statistics, hisquare distribution, and more. ...   Python for Data Science For Dummies (For Dummies (Computer/Tech))
Unleash the power of Python for your data analysis projectswith For Dummies!
Python is the preferred programming language for data scientistsand combines the best features of Matlab, Mathematica, and R intolibraries specific to data analysis and visualization. Pythonfor Data Science For Dummies shows you how to...   Bayesian Models for Categorical Data (Wiley Series in Probability and Statistics)
The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to students and researchers alike. Emphasizing the use of statistical... 


Introduction to Probability with Statistical ApplicationsThis book provides a calculusbased introduction to probability and statistics. It contains enough material for two semesters but, with judicious selection, it can be used as a textbook for a onesemester course, either in probability and statistics or in probability alone.
Each section contains many examples and exercises and, in the...     Fundamentals of Project Management (Worksmart Series)Although managing projects has been going on for thousands of years, the practice has only recently been recognized as a discipline in its own right. Suddenly master’slevel degree programs are springing up at schools throughout the world, and certificate programs are being offered as well. Not only that, but some organizations... 

  Statistics and Probability for Engineering Applications, First EditionMore than ever, American industry especially the semiconductor industry is using statistical methods to improve its competitive edge in the world market. It is becoming more imperative that graduate engineers have solid statistical knowhow, yet engineers in industry typically are not wellprepared to use statistics and they are fuzzy about how to...   


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