Probability Theory: Central Limit Theorem

This lecture covers notions of probability theory, including random numbers, events, and frequencies. It explains the distribution of averages and the central limit theorem for generating a Gaussian distribution. Properties of distribution of averages, such as mean value, variance, and standard deviation, are discussed in detail. The lecture concludes with the central limit theorem, emphasizing the importance of normal distribution in statistics.