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 2 Notes (Download👇) BCS301 Module 2 Joint probability distribution & Markov Chain Module 2 Joint probability distribution: Joint Probability distribution for two discrete random variables, expectation, covariance and correlation. Markov Chain: Introduction to Stochastic Process, Probability Vectors, Stochastic matrices,Regular stochastic matrices, Markov chains, Higher transition probabilities, Stationarydistribution of Regular Markov … Read more
