This modern text presents the fundamental ideas of probability theory and statistics with an abundance of applications relating to topics such as reliability, queuing theory, and computer performance analysis. Along with thorough coverage of the traditional topics of a first course in statistics, this new text emphasizes modeling, displaying, interpreting, and collecting data for a variety of scientific and engineering applications.
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This modern text presents the fundamental ideas of probability theory and statistics with an abundance of applications relating to topics such as reliability, queuing theory, and computer performance analysis. Along with thorough coverage of the traditional topics of a first course in statistics, this new text emphasizes modeling, displaying, interpreting, and collecting data for a variety of scientific and engineering applications.
This text presents the fundamental ideas of probability theory and statistics, with numerous applications to engineering and computer science relating to topics such as reliability, queuing theory and computer performance analysis. The value of data analysis as a set of visual tools is stressed, and many of the examples, applications and problems utilize real data from a variety of sources. A smaller number of modern data sets are analyzed using a variety of statistical methods.
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