Basic Math for Social Scientists by
Provides an informal refresher course in algebra sets, limits and continuity, differential calculus, multivariate functions, partial derivatives, integral calculus and matrix algebra. Problem sets are also provided so that readers can practice their grasp of standard mathematical procedures.
Everyday Math Demystified by
This unique self-teaching guide helps to decipher numbers and arithmetic, measurements, fractions and graphs, and puts them into the context of real-life situations you're sure to encounter.
Matrix Algebra Useful for Statistics by
This edition addresses matrix algebra that is useful in the statistical analysis of data as well as within statistics as a whole. Featuring numerous applied illustrations, numerical examples, and exercises, the book has been updated to include the use of SAS, MATLAB, and R for the execution of matrix computations.
Schaum's Outlines of Discrete Mathematics by 