Probability and Statistics provides an introduction to the fundamental concepts of statistics and probability, focusing on practical applications. It is divided into two key chapters:
Chapter 1: Descriptive Statistics: covers methods for organizing, summarizing, and presenting data. Topics include measures of central tendency (mean, median, mode), dispersion (variance, standard deviation), and data visualization techniques such as histograms and box plots.
Chapter 2: Probability: introduces the basic principles of probability theory, including probability distributions, conditional probability, and Bayes' theorem. Students will learn how to calculate probabilities and understand the behavior of random variables.
- Teacher: Khalil Zahmoul
Level: L2T