Random Variables: Random variables are numerical values that represent the outcomes of random events. They help in studying and analyzing probabilities.
Conditional Probability: Conditional probability refers to the likelihood of an event occurring given that another event has already occurred. It helps in understanding how one event affects the likelihood of another event happening.
Normal Distribution:Normal distribution, also known as Gaussian distribution, is a statistical concept used to describe patterns or distributions of data points in bell-shaped curves. It is often used in probability theory to model real-world phenomena.