Chapter 1

Sampling Distribution and Estimation

Sampling distribution of mean and proportion; Central Limit Theorem; Inferential statistics; Point estimation; Properties of good estimators.

Chapter 2

Testing of Hypothesis

Null and alternative hypothesis; Type I/II errors; Level of significance; Critical region; Power; Common hypothesis tests.

Chapter 3

Non Parametric Test

Parametric vs non-parametric; Run test; Binomial test; Kolmogorov–Smirnov test; Median test; Mann-Whitney U test.

Chapter 4

Multiple Correlation and Regression

Multiple and partial correlation; Multiple regression; Least square estimators; Matrix approach.

Chapter 5

Design of Experiment

Terminologies; Principles of experimental design; Completely randomized design; ANOVA.

Chapter 6

Stochastic Process

Definition and classification; Markov process; Markov chains; Steady-state distribution; Counting processes; Binomial and Poisson processes; Simulation.

Chapter 7

Stat All Tables

All required statistical tables for problem-solving.

Chapter 8

Important Formulas

Contains essential formulas for solving statistics problems.