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Utilizing Simpson’s rules and Weddle’s rule for data sets lacking explicit algebraic functions. The fourth-semester volume is specifically tailored to meet

Testing of hypothesis, t-distribution, Chi-square distribution, and F-distribution analysis.

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Concepts of joint distributions, covariance, correlation, and stochastic processes (Markov chains), which are crucial for modern computer network analysis and AI algorithms.