Titlebook: Introduction to Probability and Random Variables; Orhan Gazi Textbook 2023 The Editor(s) (if applicable) and The Author(s), under exclusiv

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Discrete Random Variables,les can be considered one of the most important topics of mathematics that finds application in many engineering areas. Random variables can be classified as discrete and continuous random variables. We first study the discrete random variables due to their ease of understanding and then proceed with the continuous random variables.

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Textbook 2023ocuses on the most essential subjects of probability and random variables, eliminating unnecessary details of this difficult subject. After an introduction to the topic, the author covers the essentials of experiments, sample spaces, events, and probability laws, while investigating how they relate

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Discrete Random Variables,andom variable function is used to characterize an experiment. Once you define a random variable for an experiment, then you have full statistical knowledge of the random experiment. Today, we cannot consider a scientific research area that does not use the concept of random variables. Random variab

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Functions of Random Variables,functions, i.e., random variables, and for a variety number of random variables, we can define joint probability mass and cumulative distribution function. In this chapter, we provide information about joint probability mass functions of more than one random variable, functions of random variables,

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Continuous Random Variables,ete random variables. Discrete sample spaces include a countable number of simple events. In this chapter, we study continuous experiments and define continuous sample spaces, continuous events, and continuous random variables. Continuous sample spaces include an uncountable number of simple events.

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More Than One Random Variables,riables, we provide information about the mean and variance calculation and marginal probability evaluation for jointly distributed random variables. In addition, we also consider the calculation of joint probability density function of two random variables using the joint probability density functi