Sampling Distribution And Estimation

Sampling distribution of mean and proportion; Concept of Central Limit Theorem; Concept of inferential Statistics; point estimation; Properties of a “Good” estimator: unbiase. . .

Testing of hypothesis

Types of statistical hypotheses – null and alternative hypothesis, type I and type II errors, level of significance, critical value and critical region, power of the test, co. . .

Non Parametric Test

Parametric vs. non-parametric test; Needs of applying non-parametric tests; One-sample test: Run test, Binomial test, Kolmogorov–Smirnov test; Two independent sample test: Me. . .

Multiple correlation and regression

Multiple and partial correlation; Introduction of multiple linear regression; Least square estimation of parameters; Properties of least square estimators; Matrix approach to. . .

Design of experiment

Basic terminologies of experimental design; Basic principles of experimental designs; Completely Randomized Design (CRD): Statistical analysis of CRD, ANOVA table, Advantages. . .

Stochastic Process

Definition and classification; Markov Process: Markov chain, Matrix approach, Steady- State distribution; Counting process: Binomial process, Poisson process; Simulation of s. . .

Stat All Tables

Include all the table required for statistics problems

Important Formulas