Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences
by J. Susan Milton, Jesse C. Arnold
Introduction to Probability and Statistics by J. Susan Milton and Jesse C. Arnold delivers core principles and applications for engineering and computing sciences. It equips students with vital skills in probability, data analysis, and statistical inference through clear explanations and relevant examples, fostering practical expertise in technical problem-solving.
About This Book
Introduction to Probability and Statistics offers a clear and structured approach to fundamental concepts in probability and statistical methods. Designed specifically for students in engineering and computing sciences, it bridges theoretical principles with real-world applications.
The book covers essential topics such as probability distributions, hypothesis testing, and regression analysis, ensuring readers develop the tools needed for problem-solving in technical fields. Authors J. Susan Milton and Jesse C. Arnold present the material in an accessible manner, suitable for undergraduate courses.
With a focus on practical relevance, the text includes examples drawn from engineering and computing contexts, helping learners apply statistical techniques to data-driven challenges in their disciplines.
This resource serves as a foundational guide, promoting a deep understanding of statistics without overwhelming complexity, ideal for building confidence in quantitative analysis.
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