This course introduces the fundamental concepts of Probability and Statistics. It aims to build intuition about uncertainty, data analysis, and statistical reasoning through simple examples and applications. The course emphasizes understanding concepts rather than heavy mathematical rigor, making it suitable for learners from diverse backgrounds.
| Day | Topic | Sub-Topic No. | Sub-Topic Title | Detailed Contents |
| Day 1 | Introduction to Probability | 1.1 | Random Experiments | Concept of randomness, experiments |
| 1.2 | Sample Space and Events | Sample space, simple events, compound events | ||
| 1.3 | Types of Events | Mutually exclusive, exhaustive events | ||
| 1.4 | Classical Probability | Definition and basic examples | ||
| Day 2 | Laws of Probability | 2.1 | Addition Law | Addition theorem for two events |
| 2.2 | Multiplication Law | Independent and dependent events | ||
| 2.3 | Conditional Probability | Definition and simple applications | ||
| Day 3 | Descriptive Statistics | 3.1 | Data and Variables | Types of data, qualitative vs quantitative |
| 3.2 | Measures of Central Tendency | Mean, median, mode | ||
| 3.3 | Measures of Dispersion | Range, variance, standard deviation | ||
| Day 4 | Random Variables & Distributions | 4.1 | Random Variables | Discrete and continuous random variables |
| 4.2 | Discrete Distributions | Bernoulli and Binomial distributions | ||
| Day 5 | Continuous Distributions & Sampling | 5.1 | Continuous Distributions | Uniform and Normal distributions |
| 5.2 | Sampling Concepts | Population, sample, sampling methods | ||
| Day 6 | Applications & Practice | 6.1 | Real-Life Applications, Applications of probability and statistics | |
| Know your Mentor | Contact Number | Email Id | Teaching Experience (in Yrs.) |
| Dr. Sunil Kumar | 9760781501 | Sunil.e15729@cumail.in | 15 Years |