Sampling Distribution and Estimation
Sampling distribution of mean and proportion; Central Limit Theorem; Inferential statistics; Point estimation; Properties of good estimators.
B.Sc. CSIT - Third Semester
Sampling distribution of mean and proportion; Central Limit Theorem; Inferential statistics; Point estimation; Properties of good estimators.
Null and alternative hypothesis; Type I/II errors; Level of significance; Critical region; Power; Common hypothesis tests.
Parametric vs non-parametric; Run test; Binomial test; Kolmogorov–Smirnov test; Median test; Mann-Whitney U test.
Multiple and partial correlation; Multiple regression; Least square estimators; Matrix approach.
Terminologies; Principles of experimental design; Completely randomized design; ANOVA.
Definition and classification; Markov process; Markov chains; Steady-state distribution; Counting processes; Binomial and Poisson processes; Simulation.
All required statistical tables for problem-solving.
Contains essential formulas for solving statistics problems.