2022 Scheme Mathematics for Computer Science BCS301 Module 5 Notes (Download👇) BCS301 Module 5 Design of Experiments & ANOVA Module 5 Design of Experiments & ANOVA – Principles of experimentation in design, Analysis of completely randomized design, randomized block design. The ANOVA Technique, Basic Principle of ANOVA, One-way
2022 Scheme Mathematics for Computer Science BCS301 Module 4 Notes (Download👇) BCS301 Module 4 Statistical Inference 2 Module 4 Statistical Inference 2 – Sampling variables, central limit theorem and confidences limit for unknown mean. Test of Significance for means of two small samples, students ‘t’ distribution, Chi-square distribution as a test of goodness of fit. F-Distribution.
2022 Scheme Mathematics for Computer Science BCS301 Module 3 Notes (Download👇) BCS301 Module 3 3 Statistical Inference 1 Module 3 Statistical Inference 1 – Introduction, sampling distribution, standard error, testing of hypothesis, levels of significance, test of significances, confidence limits, simple sampling of attributes, test of significance forlarge samples, comparison of large samples.
2022 Scheme Mathematics for Computer Science BCS301 Module 1 Notes (Download👇) BCS301 Module 1 Probability Distributions Module 1 Probability Distributions: Review of basic probability theory. Random variables (discrete and continuous), probability mass and density functions. Mathematical expectation, mean and variance. Binomial, Poisson and normal distributions- problems (derivations for mean and standard deviation for Binomial and Poisson distributions only)-Illustrative … Read more
