Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences (McGraw-Hill series in probability and statistics)

Arnold, Jesse C.

Milton, J.S.

Computers & Technology

Blacklick, Ohio, U.S.A.: McGraw-Hill College

Sperry Top-Sider Men's Bahama 2 Eye Lace-Up

Science & Math

Milton, J.Susan

Mathematics

McGraw-Hill Education (ISE Editions)

Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences

<p>This well-respected text is designed for the first course in probability and statistics taken by students majoring in engineering and the computing sciences. The prerequisite is one year of calculus. This text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving, so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises, and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis.</p>

McGraw=Hill

<p>This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises, and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis.</p>

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