MTH 202 covers 21 topics. StudyPath paces them into daily study
sessions that finish before your exam date, with practice questions and worked
answers for each one.
Solutions of algebraic and transcendental equations
Simultaneous linear equations and matrices
Finite differences and interpolation
Numerical differentiation and integration
Numerical solution of ordinary differential equations
Normal distribution
Poisson distribution
Quality control techniques
Acceptance sampling
t-test for equality of means
F-test for equality of variances
Chi-square in statistical quality control
Reliability concepts and testing
Test-retest and split-half reliability
Reliability coefficient and standard error of measurement
Experimental designs
SPSS fundamentals
SPSS data input and transformation
Descriptive analysis in SPSS
Parametric, non-parametric and multivariate analysis in SPSS
A sample from this course
One topic, as StudyPath teaches it.
Numerical methods
Numerical methods in engineering and technology are systematic procedures for approximating solutions to mathematical problems that cannot be solved analytically. Mastering these methods—such as iterative solvers, root‑finding, and matrix factorizations—enables students to implement reliable algorithms on computers, a core requirement for the NUC CCMAS, NBTE, and NCCE exams.
What you get for MTH 202
Every topic above, split into sessions and dated against your exam.
Practice questions per session, with answers that explain themselves.
Offline reading — the whole course is a few hundred KB on your phone.
An AI tutor that answers questions using this course's own material.