Covers random variables, probability distributions (Normal, Binomial, Poisson), and sampling theory. It teaches hypothesis testing (t-test, Chi-square) for data analysis.
Based on library records and publisher information, there isn't just one "Engineering Mathematics 4" book. Instead, there are several specialized volumes, all by the same author. Here’s a breakdown of the main ones you're likely to encounter: engineering mathematics 4 by kumbhojkar edition
Many questions in the book are, or are similar to, previous year exam questions. Covers random variables
: Advanced applications of integration over curves and spaces. probability distributions (Normal
Line integrals, Cauchy’s Integral Theorem/Formula, Taylor’s and Laurent’s series, and Residue Theorem.